Quantela
Platform

Our award-winning, AI-enabled technology platform serves as the engine behind our innovative solutions.  

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  • Data Data
    • Studio

      Studio

      The Quantela Platform Studio is a core feature of the platform that offers an intuitive and dynamic environment for designing, configuring, and managing data pipelines. Purpose-built for system integrators and administrators, it allows users to visually model workflows and operations required for specific deployments, ensuring that operational needs are met with precision.

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      1. Drag-and-Drop Interface

      • The Studio enables users to build workflows and configure processes with a low-code/no-code approach, leveraging a highly visual, drag-and-drop canvas.
      • Components, data sources, and actions can be added, connected, and modified seamlessly, reducing dependency on extensive coding expertise.

      2. Workflow Visualization

      • Offers real-time visualization of data pipelines and SOP workflows, making it easy to understand, debug, and optimize processes.
      • Enhanced with context-aware suggestions, the platform assists users in creating efficient and error-free workflows.

      3. Pre-Built Components

      • Includes a library of reusable, pre-built components that simplify the creation of complex configurations. These components can be customized to meet unique operational requirements.
      • Modules such as data processors, decision gates, and event triggers accelerate the development of tailored workflows.

      4. Collaboration and Role-Based Access

      • Multi-user capabilities allow teams to collaborate on designs in real-time.
      • Role-based access ensures that only authorized users can make changes, maintaining the integrity of operational workflows.

       

    • Connectors

      Connectors

      The Connectors Module in the Quantela platform is a robust solution designed to facilitate seamless integration with external data systems, enabling efficient data exchange and process automation. A connector in the platform establishes a logical link between Quantela and external data sources, providing reliable communication pathways and access to required datasets for real-time operations.

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      1. Dynamic Connection Management

      • The platform supports various types of connections, such as HTTPS, SQL, MQTT, SFTP, FTP, Webhook, Flat Files, WebSocket, and RDMS databases, among others, to meet diverse integration needs.
      • It offers full configurability for connection details, including network address/URL, TLS Token, Basic Auth, OAuth2 Token, API Key via HTTP header, credentials, authentication methods, and access protocols.

      2. Connection Templates for Reusability

      • Connectors are derived from predefined connection templates that store critical configuration data like access tokens, credentials, and provider-specific settings.
      • Templates optimize integration by allowing shared use of cached credentials, eliminating redundant configurations for related data sources.
      • Example use cases:
        • SQL Providers: Templates store database server details, username, and password, while connectors focus on table names or SQL queries.
        • Rest APIs: Templates manage OAuth2 token refresh cycles, enabling connectors to concentrate on specific API endpoints and request parameters.

      3. Advanced Search Capabilities

      • The platform includes an advanced search engine to efficiently locate specific connectors, templates, or configuration details based on multiple criteria:
        • Connector Name
        • Template Attributes (e.g., Name, ID, Type, Tags)
        • Configuration Parameters (e.g., SSL verification, enabled streams)
        • Custom Scripts (e.g., preRequestScript, postRequestScript, authentication logic). This helps to create custom logic for connection management.
        • HTTP Connector Settings (e.g., Base URL, Method, Headers, Payload). Custom parameters helps to manage HTTP connection.

      4. Streamlined Integration for Complex Systems

      • The platform simplifies complex integrations with features such as enabled streams, custom authentication scripts, and advanced request/response handling capabilities.
      • Ensures secure integrations with SSL verification, token caching, and precise control over connection settings for each connector.

      5. Role-Based Access Control (RBAC)

      • Administrators can manage who can create, modify, or manage connectors through RBAC.
      • Fine-grained access control ensures that only authorized users can configure or modify connectors, ensuring compliance and security.

      The Connectors module provides system integrators with the flexibility, control, and scalability required to integrate external systems efficiently, making it ideal for complex environments with diverse data sources.

    • Cleansing

      Cleansing

      The Dataset module in the Quantela platform is a robust tool designed to collect, ingest, and standardize data from one or more sources. With its advanced capabilities, the platform ensures raw, unstructured, or inconsistent data is cleansed and prepared for downstream processes such as visualization and analytics.

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      Key Features for Data Cleansing:

      1. Support for Multiple Data Formats

      • Handle diverse data structures, including:
        • Tabular (CSV)
        • Semi-Structured (JSON, XML/HTML)
        • Unstructured Text

      2. Centralized Data Collection

      • Datasets are sourced from connectors, enabling seamless integration of data from multiple systems into a single unified structure.

      3. Data Quality Improvements

      • Tools for removing inconsistencies, standardizing formats, and validating data integrity ensure that datasets meet quality standards before further processing.

      4. Advanced Search Capabilities

      • Locate and manage datasets efficiently using search criteria such as:
        • Dataset Name, Output Format, Tags, and Description
        • Connector Details (e.g., Name, Type, Template ID)
        • Custom logic scripts like preRequestScript and postRequestScript. This can be used to augment the data or enrich the data. It can also handle the data inconsistencies in the raw data.

      By enabling powerful cleansing mechanisms, the platform ensures data is refined and ready for operational use, making it a foundational element of any data-driven initiative.

    • Transformation

      Transformation

      The Dataset module also provides advanced features for transforming raw data into meaningful, actionable insights. With transformation capabilities, users can shape and process datasets to meet the specific requirements of analytics, reporting, and visualization.

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      Key Features for Data Transformation:

      1. Flexible Data Structure Handling

      • Transform data into formats that align with business needs, such as:
        • Aggregated Datasets for summaries
        • Normalized Tables for consistency
        • Custom Structures based on JSON or other formats

      2. Built-In Functions and Custom Scripting

      • Leverage a library of built-in transformation functions or define custom scripts to manipulate datasets at scale. It is based on high performance JavaScript based text processing library.
      • Support for advanced logic, including conditional processing and derived values.

      3. Integration with Connectors

      • Seamlessly apply transformations to data ingested through connectors, ensuring a smooth flow from source to insight.
      • Process high-velocity streaming data through advanced transformation pipelines like Batch process, Batch JSON Streams ensuring the delivery of enriched, structured, and actionable datasets in real time.

      With its comprehensive transformation capabilities, the platform empowers users to derive value from data, making it actionable and ready for business intelligence applications.

    • Scheduling

      Scheduling

      The Scheduling feature in the Quantela platform ensures seamless and timely data ingestion by automating the flow of cleansed and transformed data into the system for further analysis, reporting, and actions. With a robust mechanism to manage data and event flows, the platform leverages adapters for efficient data exchange between external systems and the Quantela platform.

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      How Scheduling Works:

      1. Data Workflow Integration

      • Once data is received through connectors and processed via cleansing and transformation, the Quantela Data Ingestion Function maps the cleaned data to the target data model. Once the mapping is complete, the scheduler takes over to ingest the data into the platform.

      2. Adapters as Core Scheduling Mechanisms

      • Adapters act as intermediaries to handle both inbound and outbound data flows efficiently:
        • Inbound Adapters:
          • Pull data or events from external systems either on-demand or at scheduled intervals using CRON expressions.
          • Allow external systems to push data asynchronously to the platform, storing it incrementally in a time-series database for historical analytics.
        • Outbound Adapters:
          • Push data or trigger actions on external systems in response to events detected on the platform. Examples include sending alerts for air quality violations or activating streetlights.

      3. Powerful Scheduling and CRON Integration

      • Schedules can be customized using CRON expressions, enabling fine-grained control over timing of data ingestion or data export.
      • Features include enabling/disabling schedulers, broadcasters, receivers, and streams to optimize data processing workflows.

      4. Data Processing Flexibility

      • Adapters allow filtering, merging, and transforming data from multiple sources before ingestion.
      • Processed data is stored in persistent storage in an incremental fashion, facilitating sophisticated time-series analytics and enabling event-driven automation triggers.
      • From real-time event ingestion to periodic data updates, scheduling ensures that all systems remain in sync and operate with precision.
    • Analytics

      Analytics

      The Analytics module within the Quantela platform leverages advanced data querying techniques, including multi-dimensional filtering, parameterized queries, and support for nested aggregations. These capabilities enable users to extract actionable intelligence from complex datasets. By leveraging both real-time and historical data, the module facilitates intricate aggregations, temporal trend analyses, anomaly detection, and predictive forecasting, delivering customized insights for the diverse operational scenarios.

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      Key Features:

      1. Built-In Query Engine

      • Direct secure query injection to the platform’s internal data store with high performance, ensuring minimal latency.
      • Support for a wide range of query types, including:
        • Real-Time Queries: Access and analyse data as it is ingested for up-to-the-moment or near real-time insights.
        • Historical Queries: Retrieve and process historical datasets to understand trends, patterns, and anomalies.
        • Data Aggregations: Aggregate data across multiple dimensions for advance summarized insights like Ranks, Dense Ranks, Cumulative aggregations, Weighted Averages and many other statistical important operations.

      2. Advanced Data Handling

      • Combines real-time data streams with historical datasets, providing a unified analytical experience.
      • Supports various data formats, enabling seamless integration and analytics on structured, semi-structured, and unstructured data.

      3. Dynamic Insights Generation

      • Provides flexibility in generating aggregated metrics by dynamically grouping data over time intervals, geographic regions, or custom-defined dimensions.
      • Enables Dimension Drill Down, Drill Up, Drill Across, Slicing and Dicing and Pivot Data for advanced hierarchical analysis.
      • Real-time insights enable rapid decision-making for operational efficiency.
      • Historical analysis offers a deeper understanding of system performance, resource utilization, and long-term trends.
      • Advanced analytics workflows for:
        • Predictive modelling with temporal data.
        • Multi-source data correlation for comprehensive reporting.

      4. Scalability and Performance

      • Optimized for handling the large volumes of data without compromising on speed or accuracy.
      • Uses distributed processing for compute-intensive queries, ensuring scalability as data grows.

      5. Customizable Dashboards and Reports

      • Analytics results can be directly visualized through interactive dashboards or exported into reports for the ad-hoc data analysis.
      • Users can create role-specific views to share insights across teams or departments.

      Technical Capabilities

      • Query Syntax Support: Flexible syntax to create complex queries with support for filters, joins, and group-by operations.
      • APIs for Custom Queries: Expose analytics APIs for integrating custom applications or third-party tools with the platform’s analytics engine.
  • AI AI
    • Reusable Model Store

      Reusable Model Store

      The Quantela Platform integrates cutting-edge AI and ML techniques to deliver deep insights from diverse data sources. Leveraging advanced methodologies such as Deep Learning, Natural Language Processing (NLP), Computer Vision, Time Series Algorithms, Statistical Functions, and Geo-Spatial Techniques, we provide comprehensive analytics across various domains. These include Environment, Parking, Lighting, Traffic, City Sentiment, and Quality of Data Analytics (QDA).

      By combining state-of-the-art AI/ML models with flexible, scalable infrastructure, the Quantela AI Reusable Model Store enables enterprises to leverage predictive analytics in a wide range of smart city and enterprise use cases, enhancing operational decision-making and driving innovation.

      Our AI-driven solutions are exposed as robust REST APIs, enabling seamless integration with data generated from multiple entities, such as IoT Sensors, Cameras, RSS Feeds, Third-Party APIs, Satellite Data, and more. These APIs represent the outputs of our meticulously trained models, providing predictive insights and intelligent recommendations for a wide array of applications.

    • Model Preparation

      Model Preparation

      Efficient model preparation is a critical phase in deploying AI solutions on the Quantela platform. This stage involves rigorous data processing, model optimization, and validation to ensure peak performance for real-world applications. Our systematic approach ensures that models are not only accurate but also scalable and efficient across diverse use cases.

      Data Preprocessing and Feature Engineering

      • Clean and structure raw data to eliminate inconsistencies and noise.
      • Extract and engineer relevant features, optimizing input quality for model accuracy.

      Fine-Tuning with Transfer Learning

      Fine-tuning leverages pre-trained deep learning or large language models (LLMs) like BERT or GPT to deliver domain-specific, high-performance solutions efficiently. This approach reduces training time, computational costs, and enhances model accuracy by focusing on relevant tasks.

      • Layer Optimization: In this approach, you Freeze the pre-trained layers for general knowledge and fine-tune the deeper layers to target task-specific requirements.
      • Custom Dataset Integration: You curate, augment, and use domain-relevant datasets for effective training, improving robustness by up to 20%.
      • Deployment Efficiency: Here you optimize models for cloud or edge environments, reducing inference latency and cutting operational costs by up to 25%.

      Algorithm Selection and Hyperparameter Tuning

      • Leverage cutting-edge algorithms, including deep learning frameworks for NLP and generative AI.
      • Perform hyperparameter optimization to boost performance by up to 30%.

      Model Validation and Testing

      • Deploy rigorous cross-validation techniques to minimize overfitting.
      • Test models under diverse conditions, ensuring reliability across different datasets.
      • Use domain-specific metrics (e.g., BLEU for NLP or IoU for image segmentation) to gauge performance.

      Resource Optimization for Deployment

      • Prepare models for cloud, edge, or on-premises deployment with minimal latency.
      • Optimize for memory and compute efficiency, reducing operational costs by up to 20%.

      This structured preparation that is followed on Quantela platform, ensures AI models deliver actionable insights with accuracy, scalability, and efficiency.

    • Services & Operations

      Services & Operations

      1. Seamless Deployment and Integration

      • Our AI-driven solutions are leveraging MLOps best practices. They are exposed as robust REST APIs, enabling seamless integration with data generated from multiple entities, such as IoT Sensors, Cameras, RSS Feeds, Third-Party APIs, Satellite Data, and more.
      • These APIs represent the outputs of our meticulously trained models, providing predictive insights and intelligent recommendations for a wide array of applications.
      • Quantela platform can integrate with Machine learning models hosted on platforms like AWS, Azure, and Google Cloud.
      • Multi-cloud and hybrid deployment options allow scaling up to millions of daily transactions.
      • Reduces setup efforts by 25%-30% through reusable configurations.

      2. Scalability and Cross-Platform Compatibility

      • Scalable across massive datasets, with support for real-time data streams and batch processing.
      • Compatible with leading AI frameworks like TensorFlow, PyTorch, and ONNX for seamless interoperability.

      3. Quantifiable Operational Benefits

      • Reduces time-to-market for AI projects by 40%-60%, enabling rapid prototyping and testing.
      • Minimizes repetitive training efforts, resulting in an estimated $500,000+ in annual savings for enterprises with high-volume AI projects.

      Drives innovation by allowing teams to focus on fine-tuning and model improvement rather than redundant development.

    • Generative AI

      Generative AI

      Quantela platform supports the Generative AI models, like GPT and DALL·E, are advanced deep learning architectures designed to generate human-like content, including text, images, audio, and more.

      Key Features:

      • Fine-Tuned Customization: Tailor pre-trained models for domain-specific use cases using transfer learning, ensuring relevance and efficiency.
      • Scalable Inference: Deploy models on cloud or edge platforms to handle large-scale data processing while maintaining low latency.
      • Multi-Modal Capabilities: Enable text-to-image, text-to-audio, and cross-modal generation for diverse applications.
      • Real-Time Adaptability: Integrate with APIs for dynamic outputs that adapt to user queries instantly.

      Generative AI models are useful for automating complex tasks, improving productivity, and delivering innovation across industries like DOOH, Smart Cities or Land Governance.

    • Ethical AI

      Ethical AI

      At Quantela, we are committed to the development and deployment of Ethical AI solutions that prioritize transparency, fairness, accountability, and privacy. As we leverage cutting-edge AI and machine learning models, we ensure that they adhere to the highest ethical standards, aligning with global best practices and responsible AI guidelines. Our approach focuses on mitigating biases, ensuring the safety of user data, and enabling equitable outcomes for all stakeholders.

  • Events Events
    • Studio

      Studio

      The Automation Rules and SOP Studio in the Quantela platform provides a powerful and intuitive environment for designing and configuring automation workflows tailored to meet diverse operational needs. It empowers administrators and system integrators to define unlimited automation rules and Standard Operating Procedures (SOPs) that respond to real-time alerts and events generated by the platform.

      Key Capabilities:

      1. Unlimited Rule and SOP Configurations

      • Design and configure a virtually unlimited number of automation rules to generate any real-time event or data trigger.
      • Map SOP workflows seamlessly to platform-generated alerts to ensure efficient operational responses.

      2. Flow-Based Workflow Designer

      • Visual, drag-and-drop studio for building complex automation workflows without coding expertise.
      • Modular task nodes (integration with email, SMS, Computer Aided Dispatch - CAD) allow users to define sequential or parallel operations, streamlining workflow creation.

      3. Real-Time Event Integration

      • Directly connect automation rules and SOPs to platform-generated alerts, ensuring instant reaction to events.
      • Manage diverse event types, enabling workflows to handle system anomalies, threshold breaches, or scheduled processes.

      4. Scalable and Flexible Workflow Creation

      • Support for a wide range of automation scenarios, from simple alerts to intricate multi-step operational procedures.
      • Flexibility to update or enhance workflows as organizational processes evolve, without impacting existing operations.

      5. Operational Efficiency

      • Eliminate manual intervention for routine tasks by automating responses to system events.
      • Enable consistent execution of SOPs, reducing human errors and improving compliance with organizational policies.

      6. Intelligent Workflow Management

      • Built-in mechanisms to track workflow execution, providing visibility into the status of active, completed, or failed tasks.
      • Configurable notifications and escalations to ensure timely resolution of manual intervention tasks.

      7. Integration with External Systems

      • Seamlessly link automation workflows with external systems or devices via adapters, enabling end-to-end process automation.
    • Event Management

      Event Management

      The Events module in the Quantela platform serves as a centralized hub for monitoring and managing critical activities within the system. Events can be triggered manually, externally, or automatically by the platform in response to specific data triggers. These events are essential for providing actionable insights and driving operational responses.

      Key Features:

      1. Comprehensive Event Tracking

      • Consolidated view of all system-relevant activities, ensuring users can quickly identify and address key events.
      • Events may originate from manual inputs, external systems, or automated triggers configured via Automation Rules.

      2. Role-Based Event Accessibility

      • Events displayed are filtered based on the logged-in user's access rights, ensuring security and relevance.

      3. Real-Time Monitoring

      • Immediate visibility into system-generated or triggered events, enabling prompt action and decision-making.
      • Support for event categorization and prioritization to streamline operational workflows.

      4. Integration with Workflows

      • Seamlessly links to SOPs and Automation Rules, enabling events to trigger predefined workflows or responses.
      • Events act as actionable triggers for tasks such as notifications, escalations based on customized SLA, or external system updates.

      5. Customizable Notifications

      • Configurable notification mechanisms to alert relevant stakeholders based on event type or severity.
      • Multi-channel notifications, including emails or platform-based alerts, to ensure timely communication.
    • Incident Management

      Incident Management

      The Incident Management in the Quantela platform is designed to streamline issue tracking, resolution, and collaboration across multiple departments and teams.

      It Integrates seamlessly with the Field Office Mobile App, the platform ensures that all events generated are tracked in real-time, facilitating quicker issue resolution and better operational efficiency.

      Key Features:

      1. Real-Time Event Integration

      • Events generated on the platform are automatically integrated with the Field Office Mobile App, ensuring that all incidents are tracked from their creation to closure.
      • This seamless integration enables real-time updates and monitoring, allowing stakeholders to always stay informed of the incident status.

      2. Collaboration Across Teams

      • The platform includes a collaboration tool that empowers users to engage multiple teams and departments for incident resolution. Team members can add comments, share insights, and provide input directly within the platform, promoting a unified approach to resolving issues.
      • Using Distribution rules, we can enable Cross-departmental collaboration. It ensures that incidents are resolved swiftly by bringing in the necessary expertise and resources from various parts of the organization.

      3. Media Content Upload

      • To enhance the incident management process, users can upload media content (such as images, videos, and documents) to incidents. This helps provide additional context, making it easier for teams to understand the issue and work towards a resolution.
      • Whether it's a visual reference for a defect, or a screenshot of a system error, the ability to share media ensures better communication and aids in problem-solving.
      • The commenting feature allows users to add detailed updates or notes regarding the incident, tracking progress and solutions. This history of comments ensures transparency and accountability during the issue resolution process.
    • Standard Operating Procedures (SOP)

      Standard Operating Procedures (SOP)

      The Standard Operating Procedure (SOP) in the Quantela platform is designed to streamline and automate operational workflows, ensuring consistent execution of tasks and improving response efficiency. SOPs enable organizations to define, manage, and execute both manual and automated tasks in a structured, repeatable manner.

      How SOP Works in the Platform:

      1. Workflow Definition with Flow-Based Editor

      • The canvas option will allow to create complex SOP flows using intuitive flow based editor.
      • Users can map a sequence of tasks to align with operational objectives and system requirements.

      2. Trigger-Based Execution

      • SOPs are activated by real-time events generated from the platform or external systems.
      • Triggers can originate from Automation Rules, inbound data streams, or manual inputs, ensuring seamless integration with operations.

      3. Task Customization

      • Workflows can include a combination of automated and manual tasks.
      • Examples of tasks:
        • Sending automated notifications by integration Simple Mail transfer protocol (SMTP) for email or Short Message Service gateways (SMS) and any other collaboration tools.
        • Triggering external system actions (e.g., controlling the IoT devices).
        • Assigning tasks to specific roles for manual resolution.

      4. Role-Based Access and Execution

      • Task assignments and workflow visibility are governed by Role-Based Access Control (RBAC), ensuring secure and efficient task execution.
      • SOPs are scoped to user roles, preventing unauthorized access and maintaining workflow integrity.

      5. Real-Time Monitoring and Updates

      • The platform provides live status updates on SOP execution, allowing administrators to monitor progress and resolve bottlenecks.
      • Integration with the Events module ensures visibility into SOP-triggered actions and outcomes.

      Use Cases

      • Automated response to sensor alerts (e.g., dispatching maintenance teams for equipment failure).
      • Workflow escalation for incident management in smart cities or enterprise environments.
      • Scheduled execution of recurring tasks, such as system audits or data synchronization.
  • Visualizations Visualizations
    • Studio

      Studio

      The Visualization Studio in the Quantela platform empowers users to design and customize dashboards with ease, providing a comprehensive view of critical information tailored to specific needs. It allows users to select from a wide array of predefined visual widgets (Charts, KPIs, Maps, Map Drill Down, iframe, HTML, 2D Floor Maps, Video Walls, Data Grids, Data Selector, Word Cloud, timelines, Advanced Charts and Web Components), configure their data sources, and arrange them on dashboards to create actionable insights.

      Key Capabilities:

      1. Customizable Dashboards

      • Users can create customized dashboards to display specific data insights, such as weather updates, traffic patterns, or street lighting information.
      • Flexible layout options enable users to arrange widgets in a Grid layout for structured alignment or a Fluid layout for freeform positioning, including overlapping widgets for dynamic visualization.

      2. Wide Range of Widgets

      • Configure each widget to display data from specific sources in various presentation styles.
      • Advanced widget settings (Colour Pallet, WYSIWYG) allow further customization, styling and setting up the map provider configurations for map widgets.

      3. Reusable Application Widgets

      • Save frequently used widget configurations as Application Widgets for quick reuse, streamlining the dashboard creation process.
      • Reduces redundancy by enabling the use of preconfigured widgets instead of starting from scratch.

      4. Interactive Experience

      • Dashboards are interactive, enabling filters, drill-downs, events on user interactions (e.g., displaying data upon map clicks).
      • Create customized HTML content by enabling 3rd party Java script CSS libraries.
    • Dashboards

      Dashboards

      The Dashboard feature in the Quantela platform provides a centralized interface for visualizing critical data insights. It allows users to display real-time and historical data from various sources, configured to meet their specific operational needs.

      Key Features of Dashboards:

      1. Domain-Specific Dashboards

      • Create targeted dashboards for specific areas, such as weather monitoring, traffic insights, or energy usage.

      2. Interactive Visualizations

      • Dashboards support interactive functionality, enabling users to drill down into details or trigger additional visualizations based on actions like map clicks.
    • Reporting

      Reporting

      The Scheduled Reports feature in the Quantela platform allows users to automate the delivery of insights from dashboards, datasets, or custom datasets at specified intervals using CRON expressions or advanced visualization layer. Whether for operational monitoring or strategic analysis, users can ensure that key stakeholders receive up-to-date reports without manual intervention.

      Key Features of Scheduled Reports:

      1. Customizable Frequency

      • Reports can be scheduled to be sent on a daily, weekly, or monthly basis, ensuring timely delivery of information.

      2. Flexible Formats

      • Dashboard and custom dataset reports are delivered in PDF format, offering a clean, easy-to-read presentation.
      • Dataset reports can be exported in PDF, Excel, or CSV formats, providing flexibility for data consumption and further analysis.

      3. Targeted Distribution

      • Reports can be sent to individual users or a group of recipients, enabling streamlined distribution across teams or departments.
  • Platform Services Platform Services
    • Architecture

      Architecture

      Our platform is built on a modular, scalable architecture that seamlessly integrates devices, applications, and data to drive intelligent decision-making and automation. It’s designed to adapt to your business needs, ensuring a secure and flexible solution for today and the future.

      At the core, the Edge & Device Layer (Southbound) connects your IoT devices, IT systems, operational technologies (OT), and video applications, enabling real-time data capture and processing. This data flows into the Integration & Data Layer, where it’s aggregated, analysed, and turned into actionable insights. Here, core services like automation rules, event management, and data orchestration ensure that systems respond intelligently to real-time data.

      On the user side, the Visualization & Interaction Layer (Northbound) provides intuitive dashboards, mobile apps, and open APIs for easy access to insights and integration with third-party systems. This architecture is secure, flexible, and future proof, supporting SaaS, private cloud, or on-premises deployments. It’s designed to scale as your business grows, offering a seamless experience for adding new devices, users, and services over time.

    • Security

      Security

      The Quantela platform prioritizes data protection through multiple layers of security, ensuring that only authorized users can access sensitive information. With robust security mechanisms in place, we safeguard your data against unauthorized access, fraud, and cyber threats.

      Key Security Features:

      1. Strong Authentication and Authorization

      • The platform employs role-based and attribute-based access controls to ensure that users only have access to the data and features relevant to their role.
      • We enforce multi-factor authentication (MFA) for added protection against unauthorized access.

      2. Password Policy

      • A strong password policy is enforced, requiring users to create complex passwords that meet security standards, reducing the risk of credential-based attacks.
      • We ensure all our password are encrypted using strong algorithm like SHA256 before storing in the Database.
      • CAPTCHA is used during the login process to prevent automated login attempts and protect against brute force attacks.

      3. Account Lockout Protection

      • To prevent unauthorized access, accounts are locked after five consecutive failed login attempts, ensuring that suspicious login activity is flagged promptly.

      4. Periodic Security Audits

      • We conduct regular third-party security audits to identify vulnerabilities and ensure that the platform complies with the latest OWASP security guidelines. This continuous monitoring guarantees the highest standards of security.

      5. Secure Data Sharing

      • All data transfers across the platform are encrypted using HTTPS to ensure secure communication channels, protecting data during transmission.

      6. Secure Open APIs

      • Our open APIs are protected by strong authentication mechanisms to ensure that only authorized applications and users can interact with the platform, mitigating potential security threats.
    • Administration

      Administration

      The Quantela platform provides a comprehensive administration feature set, allowing administrators to manage users, departments, roles, and access control in a secure and organized way. These capabilities help ensure that only the right people have access to the necessary data and functions, maintaining efficient workflows while enforcing security and privacy policies.

      Key Administration Features:

      1. User and Department Management

      • The platform allows the creation of departments, which logically group users based on operational needs. A department does not have to correspond to a physical entity but can represent any structure that suits the organization’s requirements.
      • Users can be assigned to one or more departments, streamlining the management of user access and responsibilities.

      2. Role-Based Access Control (RBAC)

      • Roles in the platform determine which features and functionalities a user can access. Each user must be assigned a specific role, ensuring they only interact with the data and tools necessary for their responsibilities.
      • RBAC enables fine-grained access control, preventing unauthorized users from accessing critical platform components.

      3. Group Management

      • Groups in the platform allow users with shared responsibilities to be organized together. These groups can be used for monitoring or managing event notifications, making it easier to assign specific tasks or alerts to the right individuals.
      • Groups also work with Distribution Rules to ensure that notifications about important events are sent to the correct users within the group.

      4. Access Control and Data Personalization

      • The platform supports detailed access control features that can be customized for each user or group, ensuring that only authorized personnel can view or interact with specific data.
      • Access specifiers allow administrators to fine-tune data restrictions, providing a tailored experience for each user while enhancing security and compliance.
    • Deployment

      Deployment

      The Quantela platform leverages cutting-edge technologies to ensure seamless and scalable deployment. With containerization powered by Kubernetes and robust CI/CD pipelines built using Jenkins, we provide a flexible and automated deployment process that supports rapid, reliable, and secure platform delivery.

      Key Deployment Features:

      1. Kubernetes for Containerization

      • The platform is containerized using Kubernetes, allowing for efficient and scalable management of microservices. Kubernetes enables us to deploy, scale, and maintain applications with high availability, ensuring that the Quantela platform can meet the demands of enterprise-grade environments.
      • Containerization also ensures that platform features are packaged and isolated, reducing dependencies and enabling faster updates and rollbacks.

      2. Jenkins for CI/CD Pipelines

      • We utilize Jenkins to automate our Continuous Integration (CI) and Continuous Deployment (CD) processes. This CI/CD pipeline allows us to quickly and reliably push code changes through multiple stages—development, testing, staging, and production—ensuring that new features and bug fixes are deployed with minimal manual intervention.
      • With automated testing integrated into the pipeline, every new change is thoroughly validated before it reaches the production environment, reducing the risk of errors and enhancing the quality of the platform.

      3. Automated Test Cases

      • Automated test cases are written for each platform feature to ensure that the system behaves as expected across various use cases and environments. These tests are integrated into the CI/CD pipeline, enabling fast feedback and ensuring platform stability with every deployment.
      • The automated tests cover functional, integration, and regression testing, helping identify issues early in the development process and improving overall platform reliability.
    • Integration

      Integration

      1. Biometric Integration

      Our Biometric Integration service allows businesses to securely verify identities using biometric data, such as fingerprints, facial recognition, or iris scans.

      This service helps reduce fraud and impersonation, making it easier for businesses to grant and monitor access. Our platform connects seamlessly to various biometric scanners, securely processing and matching data to stored user profiles.

      Fully customizable, it adapts to each organization’s unique security and privacy requirements.

      Quantela platform by integration of 3rd party drivers and devices allows to capture of Biometric details of user like Fingerprints, Eye Retina etc. In Modern world, biometric integration is important to avoid the frauds and establishing the trust between parties involved in each business transaction.

      2. Geo Spatial Mapping

      The Quantela platform offers advanced Geo-Spatial Mapping capabilities, enabling real-time visualization of IoT device data over interactive maps. This powerful feature helps users quickly locate and track devices, visualize alerts, and make data-driven decisions based on geospatial insights.

      Key Features:

      2.1. Real-Time IoT Device Data Visualization

      • The platform supports geo-spatial rendering of various IoT devices, allowing users to visualize device locations and monitor real-time alerts on an interactive map. This enhances situational awareness and enables faster decision-making by providing contextual location-based insights.

      2.2. 2D Floor Plan Support

      • The platform includes 2D floor plans, enabling users to visualize device locations within buildings or on specific floors. This is particularly useful for monitoring assets in large facilities, campuses, or smart city environments, offering a detailed and intuitive view of where devices are located.

      2.3. TopoJSON for Quick Insights

      • TopoJSON is used to efficiently render map data, optimizing the visualization process for large-scale, real-time data. This technology ensures quick and responsive mapping, providing immediate insights into device locations, alerts, and other geospatial data.

      2.4. Customizable Base Maps

      • The Quantela platform allows users to configure and select from a variety of map providers as the base map for geospatial visualization. Whether using popular mapping services or custom basemaps, users have the flexibility to choose the best option for their specific requirements.

      With these powerful Geo-Spatial Mapping features, the Quantela platform provides users with an intuitive and efficient way to monitor IoT devices, track real-time events, and gain actionable insights based on location data.

      3. Expansion for more integration

      The Quantela platform is designed with flexibility and scalability in mind, enabling seamless integration with a wide range of external systems and data sources. Its architecture supports the addition of new connectors, making it easy to expand the platform’s capabilities and integrate with various technologies.

      Key Integration Capabilities:

      3.1. Additional Connectors for Diverse Data Sources

      • The platform allows for the integration of additional connectors to expand its connectivity options. New connectors can be easily added to facilitate the ingestion of data from different systems, ensuring that the platform can interact with a wide array of technologies, devices, and third-party services.

      3.2. Support for SCADA and Modbus

      • SCADA (Supervisory Control and Data Acquisition) systems and Modbus are widely used in industrial and manufacturing environments. The Quantela platform supports the integration of these systems through specialized connectors, enabling seamless data exchange between the platform and SCADA systems or Modbus-enabled devices. This integration provides real-time monitoring and analytics for industrial applications.

      3.3. M2M (Machine-to-Machine) Communication

      • The platform is also capable of supporting M2M communications, facilitating direct interaction between devices without human intervention. By integrating with M2M protocols, the platform can connect to a broad spectrum of IoT devices, sensors, and machines, enabling automation and data flow across various industries.

      3.4. Seamless Data Ingestion from Multiple Sources

      • With scalable integration capabilities, the platform can ingest data from a variety of sources—whether on-premises systems, cloud-based services, or industrial IoT networks—allowing users to consolidate and analyze data from disparate systems in one unified platform.
    • IoT Control Centre

      IoT Control Centre

      1. Device Monitoring

      The Quantela platform provides a comprehensive device monitoring solution that allows city administrators to visualize and manage a wide range of sensors and devices from multiple manufacturers and protocols—all within a single pane of glass. By aggregating data from diverse sources, the platform offers a holistic view of the city's infrastructure, enabling real-time monitoring, data-driven decision-making, and actionable insights.

      Key Features of Device Monitoring:

      1.1. Unified Visualization for Diverse Devices

      • The platform supports sensors and devices from different providers and manufacturers, integrating data from various protocols such as IoT, SCADA, Modbus, and more. Whether it's traffic sensors, air quality monitors, or smart streetlights, the platform consolidates all data into a unified view, making it easy for administrators to monitor the health and status of devices across the city.

      1.2. Real-Time Health Monitoring

      • City administrators can monitor the real-time health status of critical devices and sensors, ensuring that everything is functioning as expected. The platform provides visual cues for device performance, so issues such as malfunctions or connectivity problems can be quickly identified and addressed.

      1.3. Smart City Use Cases

      • Traffic Management: Monitor and manage traffic congestion, optimize signal timings, and improve flow by leveraging real-time data from smart traffic sensors and cameras.
      • Public Safety: Track the status of safety devices such as surveillance cameras, smart lighting, and emergency response systems to ensure public safety across the city.
      • Environmental Monitoring: Keep track of air quality, noise levels, and pollution sensors, providing the city with vital insights into environmental health and enabling swift action to mitigate hazards.
      • Waste Management: Monitor smart waste bins and recycling systems to optimize collection schedules and reduce operational costs, improving overall waste management efficiency.
      • Energy Efficiency: Visualize data from smart meters, lighting systems, and building management systems to manage energy usage and promote sustainability within the city.

      1.4. Actionable Insights for Better Decision-Making

      • By centralizing data from various devices, the platform empowers city administrators with actionable insights. Real-time monitoring and historical analytics allow for better-informed decisions on city operations, infrastructure management, and service delivery.

      1.5. Seamless Integration of IoT Devices

      • Whether you are managing public transport systems, smart street lighting, or environmental sensors, the Quantela platform integrates all your IoT devices, providing a streamlined view of data. It enables predictive analytics, alerts for anomalies, and the ability to trigger automation in response to detected issues.

      With Quantela's Device Monitoring, city administrators gain a powerful tool for overseeing and managing diverse smart city systems. The platform helps streamline operations, enhances public safety, and provides a comprehensive view of the city's performance, all from one central dashboard.

      2. Device Provisioning

      Quantela Asset Manager simplifies and streamlines the entire device provisioning process, ensuring efficient and accurate installations across your smart city infrastructure. The platform provides seamless integration from unit scanning to final installation, ensuring that every step of the process is tracked, verified, and documented for future reference.

      Key Features:

      2.1. Efficient Unit Installation

      • With Quantela Asset Manager, the device provisioning process becomes more streamlined, reducing installation time and improving operational efficiency. The platform guides technicians through the entire process, ensuring that each unit is installed according to predefined specifications.

      2.2. Precise Device Scanning and Tracking

      • Effortlessly scan the components of a unit using QR codes or RFID tags to automatically capture the device’s details. This ensures that the correct devices are installed and tracked from the point of receipt to final installation, preventing errors and reducing manual data entry.

      2.3. Installation Verification

      • Quantela Asset Manager verifies that each unit has been installed correctly by comparing the scanned components to the pre-configured installation requirements. This ensures that all installations meet operational standards and reduces the risk of costly errors or rework.

      2.4. Capture Installation Proof

      • Technicians can capture photos of the assembled and installed units as proof of work done. These photos are stored alongside the device details in the platform, offering a clear and verifiable record of the installation process for accountability and audit purposes.

      2.5. Real-Time Updates

      • As devices are provisioned, real-time updates are available on the platform, enabling administrators to track the status of each installation. This feature enhances coordination, reduces delays, and ensures that all installations are completed on schedule.

      2.6. Comprehensive Asset Management

      • Beyond device provisioning, the Asset Manager tracks the entire lifecycle of each device, from installation to maintenance and decommissioning. This provides a complete view of all assets, enabling better planning, proactive maintenance, and optimized management of your smart city infrastructure.

Studio

The Quantela Platform Studio is a core feature of the platform that offers an intuitive and dynamic environment for designing, configuring, and managing data pipelines. Purpose-built for system integrators and administrators, it allows users to visually model workflows and operations required for specific deployments, ensuring that operational needs are met with precision.

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1. Drag-and-Drop Interface

  • The Studio enables users to build workflows and configure processes with a low-code/no-code approach, leveraging a highly visual, drag-and-drop canvas.
  • Components, data sources, and actions can be added, connected, and modified seamlessly, reducing dependency on extensive coding expertise.

2. Workflow Visualization

  • Offers real-time visualization of data pipelines and SOP workflows, making it easy to understand, debug, and optimize processes.
  • Enhanced with context-aware suggestions, the platform assists users in creating efficient and error-free workflows.

3. Pre-Built Components

  • Includes a library of reusable, pre-built components that simplify the creation of complex configurations. These components can be customized to meet unique operational requirements.
  • Modules such as data processors, decision gates, and event triggers accelerate the development of tailored workflows.

4. Collaboration and Role-Based Access

  • Multi-user capabilities allow teams to collaborate on designs in real-time.
  • Role-based access ensures that only authorized users can make changes, maintaining the integrity of operational workflows.

 

Connectors

The Connectors Module in the Quantela platform is a robust solution designed to facilitate seamless integration with external data systems, enabling efficient data exchange and process automation. A connector in the platform establishes a logical link between Quantela and external data sources, providing reliable communication pathways and access to required datasets for real-time operations.

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1. Dynamic Connection Management

  • The platform supports various types of connections, such as HTTPS, SQL, MQTT, SFTP, FTP, Webhook, Flat Files, WebSocket, and RDMS databases, among others, to meet diverse integration needs.
  • It offers full configurability for connection details, including network address/URL, TLS Token, Basic Auth, OAuth2 Token, API Key via HTTP header, credentials, authentication methods, and access protocols.

2. Connection Templates for Reusability

  • Connectors are derived from predefined connection templates that store critical configuration data like access tokens, credentials, and provider-specific settings.
  • Templates optimize integration by allowing shared use of cached credentials, eliminating redundant configurations for related data sources.
  • Example use cases:
    • SQL Providers: Templates store database server details, username, and password, while connectors focus on table names or SQL queries.
    • Rest APIs: Templates manage OAuth2 token refresh cycles, enabling connectors to concentrate on specific API endpoints and request parameters.

3. Advanced Search Capabilities

  • The platform includes an advanced search engine to efficiently locate specific connectors, templates, or configuration details based on multiple criteria:
    • Connector Name
    • Template Attributes (e.g., Name, ID, Type, Tags)
    • Configuration Parameters (e.g., SSL verification, enabled streams)
    • Custom Scripts (e.g., preRequestScript, postRequestScript, authentication logic). This helps to create custom logic for connection management.
    • HTTP Connector Settings (e.g., Base URL, Method, Headers, Payload). Custom parameters helps to manage HTTP connection.

4. Streamlined Integration for Complex Systems

  • The platform simplifies complex integrations with features such as enabled streams, custom authentication scripts, and advanced request/response handling capabilities.
  • Ensures secure integrations with SSL verification, token caching, and precise control over connection settings for each connector.

5. Role-Based Access Control (RBAC)

  • Administrators can manage who can create, modify, or manage connectors through RBAC.
  • Fine-grained access control ensures that only authorized users can configure or modify connectors, ensuring compliance and security.

The Connectors module provides system integrators with the flexibility, control, and scalability required to integrate external systems efficiently, making it ideal for complex environments with diverse data sources.

Cleansing

The Dataset module in the Quantela platform is a robust tool designed to collect, ingest, and standardize data from one or more sources. With its advanced capabilities, the platform ensures raw, unstructured, or inconsistent data is cleansed and prepared for downstream processes such as visualization and analytics.

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Key Features for Data Cleansing:

1. Support for Multiple Data Formats

  • Handle diverse data structures, including:
    • Tabular (CSV)
    • Semi-Structured (JSON, XML/HTML)
    • Unstructured Text

2. Centralized Data Collection

  • Datasets are sourced from connectors, enabling seamless integration of data from multiple systems into a single unified structure.

3. Data Quality Improvements

  • Tools for removing inconsistencies, standardizing formats, and validating data integrity ensure that datasets meet quality standards before further processing.

4. Advanced Search Capabilities

  • Locate and manage datasets efficiently using search criteria such as:
    • Dataset Name, Output Format, Tags, and Description
    • Connector Details (e.g., Name, Type, Template ID)
    • Custom logic scripts like preRequestScript and postRequestScript. This can be used to augment the data or enrich the data. It can also handle the data inconsistencies in the raw data.

By enabling powerful cleansing mechanisms, the platform ensures data is refined and ready for operational use, making it a foundational element of any data-driven initiative.

Transformation

The Dataset module also provides advanced features for transforming raw data into meaningful, actionable insights. With transformation capabilities, users can shape and process datasets to meet the specific requirements of analytics, reporting, and visualization.

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Key Features for Data Transformation:

1. Flexible Data Structure Handling

  • Transform data into formats that align with business needs, such as:
    • Aggregated Datasets for summaries
    • Normalized Tables for consistency
    • Custom Structures based on JSON or other formats

2. Built-In Functions and Custom Scripting

  • Leverage a library of built-in transformation functions or define custom scripts to manipulate datasets at scale. It is based on high performance JavaScript based text processing library.
  • Support for advanced logic, including conditional processing and derived values.

3. Integration with Connectors

  • Seamlessly apply transformations to data ingested through connectors, ensuring a smooth flow from source to insight.
  • Process high-velocity streaming data through advanced transformation pipelines like Batch process, Batch JSON Streams ensuring the delivery of enriched, structured, and actionable datasets in real time.

With its comprehensive transformation capabilities, the platform empowers users to derive value from data, making it actionable and ready for business intelligence applications.

Scheduling

The Scheduling feature in the Quantela platform ensures seamless and timely data ingestion by automating the flow of cleansed and transformed data into the system for further analysis, reporting, and actions. With a robust mechanism to manage data and event flows, the platform leverages adapters for efficient data exchange between external systems and the Quantela platform.

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How Scheduling Works:

1. Data Workflow Integration

  • Once data is received through connectors and processed via cleansing and transformation, the Quantela Data Ingestion Function maps the cleaned data to the target data model. Once the mapping is complete, the scheduler takes over to ingest the data into the platform.

2. Adapters as Core Scheduling Mechanisms

  • Adapters act as intermediaries to handle both inbound and outbound data flows efficiently:
    • Inbound Adapters:
      • Pull data or events from external systems either on-demand or at scheduled intervals using CRON expressions.
      • Allow external systems to push data asynchronously to the platform, storing it incrementally in a time-series database for historical analytics.
    • Outbound Adapters:
      • Push data or trigger actions on external systems in response to events detected on the platform. Examples include sending alerts for air quality violations or activating streetlights.

3. Powerful Scheduling and CRON Integration

  • Schedules can be customized using CRON expressions, enabling fine-grained control over timing of data ingestion or data export.
  • Features include enabling/disabling schedulers, broadcasters, receivers, and streams to optimize data processing workflows.

4. Data Processing Flexibility

  • Adapters allow filtering, merging, and transforming data from multiple sources before ingestion.
  • Processed data is stored in persistent storage in an incremental fashion, facilitating sophisticated time-series analytics and enabling event-driven automation triggers.
  • From real-time event ingestion to periodic data updates, scheduling ensures that all systems remain in sync and operate with precision.

Analytics

The Analytics module within the Quantela platform leverages advanced data querying techniques, including multi-dimensional filtering, parameterized queries, and support for nested aggregations. These capabilities enable users to extract actionable intelligence from complex datasets. By leveraging both real-time and historical data, the module facilitates intricate aggregations, temporal trend analyses, anomaly detection, and predictive forecasting, delivering customized insights for the diverse operational scenarios.

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Key Features:

1. Built-In Query Engine

  • Direct secure query injection to the platform’s internal data store with high performance, ensuring minimal latency.
  • Support for a wide range of query types, including:
    • Real-Time Queries: Access and analyse data as it is ingested for up-to-the-moment or near real-time insights.
    • Historical Queries: Retrieve and process historical datasets to understand trends, patterns, and anomalies.
    • Data Aggregations: Aggregate data across multiple dimensions for advance summarized insights like Ranks, Dense Ranks, Cumulative aggregations, Weighted Averages and many other statistical important operations.

2. Advanced Data Handling

  • Combines real-time data streams with historical datasets, providing a unified analytical experience.
  • Supports various data formats, enabling seamless integration and analytics on structured, semi-structured, and unstructured data.

3. Dynamic Insights Generation

  • Provides flexibility in generating aggregated metrics by dynamically grouping data over time intervals, geographic regions, or custom-defined dimensions.
  • Enables Dimension Drill Down, Drill Up, Drill Across, Slicing and Dicing and Pivot Data for advanced hierarchical analysis.
  • Real-time insights enable rapid decision-making for operational efficiency.
  • Historical analysis offers a deeper understanding of system performance, resource utilization, and long-term trends.
  • Advanced analytics workflows for:
    • Predictive modelling with temporal data.
    • Multi-source data correlation for comprehensive reporting.

4. Scalability and Performance

  • Optimized for handling the large volumes of data without compromising on speed or accuracy.
  • Uses distributed processing for compute-intensive queries, ensuring scalability as data grows.

5. Customizable Dashboards and Reports

  • Analytics results can be directly visualized through interactive dashboards or exported into reports for the ad-hoc data analysis.
  • Users can create role-specific views to share insights across teams or departments.

Technical Capabilities

  • Query Syntax Support: Flexible syntax to create complex queries with support for filters, joins, and group-by operations.
  • APIs for Custom Queries: Expose analytics APIs for integrating custom applications or third-party tools with the platform’s analytics engine.

Reusable Model Store

The Quantela Platform integrates cutting-edge AI and ML techniques to deliver deep insights from diverse data sources. Leveraging advanced methodologies such as Deep Learning, Natural Language Processing (NLP), Computer Vision, Time Series Algorithms, Statistical Functions, and Geo-Spatial Techniques, we provide comprehensive analytics across various domains. These include Environment, Parking, Lighting, Traffic, City Sentiment, and Quality of Data Analytics (QDA).

By combining state-of-the-art AI/ML models with flexible, scalable infrastructure, the Quantela AI Reusable Model Store enables enterprises to leverage predictive analytics in a wide range of smart city and enterprise use cases, enhancing operational decision-making and driving innovation.

Our AI-driven solutions are exposed as robust REST APIs, enabling seamless integration with data generated from multiple entities, such as IoT Sensors, Cameras, RSS Feeds, Third-Party APIs, Satellite Data, and more. These APIs represent the outputs of our meticulously trained models, providing predictive insights and intelligent recommendations for a wide array of applications.

Model Preparation

Efficient model preparation is a critical phase in deploying AI solutions on the Quantela platform. This stage involves rigorous data processing, model optimization, and validation to ensure peak performance for real-world applications. Our systematic approach ensures that models are not only accurate but also scalable and efficient across diverse use cases.

Data Preprocessing and Feature Engineering

  • Clean and structure raw data to eliminate inconsistencies and noise.
  • Extract and engineer relevant features, optimizing input quality for model accuracy.

Fine-Tuning with Transfer Learning

Fine-tuning leverages pre-trained deep learning or large language models (LLMs) like BERT or GPT to deliver domain-specific, high-performance solutions efficiently. This approach reduces training time, computational costs, and enhances model accuracy by focusing on relevant tasks.

  • Layer Optimization: In this approach, you Freeze the pre-trained layers for general knowledge and fine-tune the deeper layers to target task-specific requirements.
  • Custom Dataset Integration: You curate, augment, and use domain-relevant datasets for effective training, improving robustness by up to 20%.
  • Deployment Efficiency: Here you optimize models for cloud or edge environments, reducing inference latency and cutting operational costs by up to 25%.

Algorithm Selection and Hyperparameter Tuning

  • Leverage cutting-edge algorithms, including deep learning frameworks for NLP and generative AI.
  • Perform hyperparameter optimization to boost performance by up to 30%.

Model Validation and Testing

  • Deploy rigorous cross-validation techniques to minimize overfitting.
  • Test models under diverse conditions, ensuring reliability across different datasets.
  • Use domain-specific metrics (e.g., BLEU for NLP or IoU for image segmentation) to gauge performance.

Resource Optimization for Deployment

  • Prepare models for cloud, edge, or on-premises deployment with minimal latency.
  • Optimize for memory and compute efficiency, reducing operational costs by up to 20%.

This structured preparation that is followed on Quantela platform, ensures AI models deliver actionable insights with accuracy, scalability, and efficiency.

Services & Operations

1. Seamless Deployment and Integration

  • Our AI-driven solutions are leveraging MLOps best practices. They are exposed as robust REST APIs, enabling seamless integration with data generated from multiple entities, such as IoT Sensors, Cameras, RSS Feeds, Third-Party APIs, Satellite Data, and more.
  • These APIs represent the outputs of our meticulously trained models, providing predictive insights and intelligent recommendations for a wide array of applications.
  • Quantela platform can integrate with Machine learning models hosted on platforms like AWS, Azure, and Google Cloud.
  • Multi-cloud and hybrid deployment options allow scaling up to millions of daily transactions.
  • Reduces setup efforts by 25%-30% through reusable configurations.

2. Scalability and Cross-Platform Compatibility

  • Scalable across massive datasets, with support for real-time data streams and batch processing.
  • Compatible with leading AI frameworks like TensorFlow, PyTorch, and ONNX for seamless interoperability.

3. Quantifiable Operational Benefits

  • Reduces time-to-market for AI projects by 40%-60%, enabling rapid prototyping and testing.
  • Minimizes repetitive training efforts, resulting in an estimated $500,000+ in annual savings for enterprises with high-volume AI projects.

Drives innovation by allowing teams to focus on fine-tuning and model improvement rather than redundant development.

Generative AI

Quantela platform supports the Generative AI models, like GPT and DALL·E, are advanced deep learning architectures designed to generate human-like content, including text, images, audio, and more.

Key Features:

  • Fine-Tuned Customization: Tailor pre-trained models for domain-specific use cases using transfer learning, ensuring relevance and efficiency.
  • Scalable Inference: Deploy models on cloud or edge platforms to handle large-scale data processing while maintaining low latency.
  • Multi-Modal Capabilities: Enable text-to-image, text-to-audio, and cross-modal generation for diverse applications.
  • Real-Time Adaptability: Integrate with APIs for dynamic outputs that adapt to user queries instantly.

Generative AI models are useful for automating complex tasks, improving productivity, and delivering innovation across industries like DOOH, Smart Cities or Land Governance.

Ethical AI

At Quantela, we are committed to the development and deployment of Ethical AI solutions that prioritize transparency, fairness, accountability, and privacy. As we leverage cutting-edge AI and machine learning models, we ensure that they adhere to the highest ethical standards, aligning with global best practices and responsible AI guidelines. Our approach focuses on mitigating biases, ensuring the safety of user data, and enabling equitable outcomes for all stakeholders.

Studio

The Automation Rules and SOP Studio in the Quantela platform provides a powerful and intuitive environment for designing and configuring automation workflows tailored to meet diverse operational needs. It empowers administrators and system integrators to define unlimited automation rules and Standard Operating Procedures (SOPs) that respond to real-time alerts and events generated by the platform.

Key Capabilities:

1. Unlimited Rule and SOP Configurations

  • Design and configure a virtually unlimited number of automation rules to generate any real-time event or data trigger.
  • Map SOP workflows seamlessly to platform-generated alerts to ensure efficient operational responses.

2. Flow-Based Workflow Designer

  • Visual, drag-and-drop studio for building complex automation workflows without coding expertise.
  • Modular task nodes (integration with email, SMS, Computer Aided Dispatch - CAD) allow users to define sequential or parallel operations, streamlining workflow creation.

3. Real-Time Event Integration

  • Directly connect automation rules and SOPs to platform-generated alerts, ensuring instant reaction to events.
  • Manage diverse event types, enabling workflows to handle system anomalies, threshold breaches, or scheduled processes.

4. Scalable and Flexible Workflow Creation

  • Support for a wide range of automation scenarios, from simple alerts to intricate multi-step operational procedures.
  • Flexibility to update or enhance workflows as organizational processes evolve, without impacting existing operations.

5. Operational Efficiency

  • Eliminate manual intervention for routine tasks by automating responses to system events.
  • Enable consistent execution of SOPs, reducing human errors and improving compliance with organizational policies.

6. Intelligent Workflow Management

  • Built-in mechanisms to track workflow execution, providing visibility into the status of active, completed, or failed tasks.
  • Configurable notifications and escalations to ensure timely resolution of manual intervention tasks.

7. Integration with External Systems

  • Seamlessly link automation workflows with external systems or devices via adapters, enabling end-to-end process automation.

Event Management

The Events module in the Quantela platform serves as a centralized hub for monitoring and managing critical activities within the system. Events can be triggered manually, externally, or automatically by the platform in response to specific data triggers. These events are essential for providing actionable insights and driving operational responses.

Key Features:

1. Comprehensive Event Tracking

  • Consolidated view of all system-relevant activities, ensuring users can quickly identify and address key events.
  • Events may originate from manual inputs, external systems, or automated triggers configured via Automation Rules.

2. Role-Based Event Accessibility

  • Events displayed are filtered based on the logged-in user's access rights, ensuring security and relevance.

3. Real-Time Monitoring

  • Immediate visibility into system-generated or triggered events, enabling prompt action and decision-making.
  • Support for event categorization and prioritization to streamline operational workflows.

4. Integration with Workflows

  • Seamlessly links to SOPs and Automation Rules, enabling events to trigger predefined workflows or responses.
  • Events act as actionable triggers for tasks such as notifications, escalations based on customized SLA, or external system updates.

5. Customizable Notifications

  • Configurable notification mechanisms to alert relevant stakeholders based on event type or severity.
  • Multi-channel notifications, including emails or platform-based alerts, to ensure timely communication.

Incident Management

The Incident Management in the Quantela platform is designed to streamline issue tracking, resolution, and collaboration across multiple departments and teams.

It Integrates seamlessly with the Field Office Mobile App, the platform ensures that all events generated are tracked in real-time, facilitating quicker issue resolution and better operational efficiency.

Key Features:

1. Real-Time Event Integration

  • Events generated on the platform are automatically integrated with the Field Office Mobile App, ensuring that all incidents are tracked from their creation to closure.
  • This seamless integration enables real-time updates and monitoring, allowing stakeholders to always stay informed of the incident status.

2. Collaboration Across Teams

  • The platform includes a collaboration tool that empowers users to engage multiple teams and departments for incident resolution. Team members can add comments, share insights, and provide input directly within the platform, promoting a unified approach to resolving issues.
  • Using Distribution rules, we can enable Cross-departmental collaboration. It ensures that incidents are resolved swiftly by bringing in the necessary expertise and resources from various parts of the organization.

3. Media Content Upload

  • To enhance the incident management process, users can upload media content (such as images, videos, and documents) to incidents. This helps provide additional context, making it easier for teams to understand the issue and work towards a resolution.
  • Whether it's a visual reference for a defect, or a screenshot of a system error, the ability to share media ensures better communication and aids in problem-solving.
  • The commenting feature allows users to add detailed updates or notes regarding the incident, tracking progress and solutions. This history of comments ensures transparency and accountability during the issue resolution process.

Standard Operating Procedures (SOP)

The Standard Operating Procedure (SOP) in the Quantela platform is designed to streamline and automate operational workflows, ensuring consistent execution of tasks and improving response efficiency. SOPs enable organizations to define, manage, and execute both manual and automated tasks in a structured, repeatable manner.

How SOP Works in the Platform:

1. Workflow Definition with Flow-Based Editor

  • The canvas option will allow to create complex SOP flows using intuitive flow based editor.
  • Users can map a sequence of tasks to align with operational objectives and system requirements.

2. Trigger-Based Execution

  • SOPs are activated by real-time events generated from the platform or external systems.
  • Triggers can originate from Automation Rules, inbound data streams, or manual inputs, ensuring seamless integration with operations.

3. Task Customization

  • Workflows can include a combination of automated and manual tasks.
  • Examples of tasks:
    • Sending automated notifications by integration Simple Mail transfer protocol (SMTP) for email or Short Message Service gateways (SMS) and any other collaboration tools.
    • Triggering external system actions (e.g., controlling the IoT devices).
    • Assigning tasks to specific roles for manual resolution.

4. Role-Based Access and Execution

  • Task assignments and workflow visibility are governed by Role-Based Access Control (RBAC), ensuring secure and efficient task execution.
  • SOPs are scoped to user roles, preventing unauthorized access and maintaining workflow integrity.

5. Real-Time Monitoring and Updates

  • The platform provides live status updates on SOP execution, allowing administrators to monitor progress and resolve bottlenecks.
  • Integration with the Events module ensures visibility into SOP-triggered actions and outcomes.

Use Cases

  • Automated response to sensor alerts (e.g., dispatching maintenance teams for equipment failure).
  • Workflow escalation for incident management in smart cities or enterprise environments.
  • Scheduled execution of recurring tasks, such as system audits or data synchronization.

Studio

The Visualization Studio in the Quantela platform empowers users to design and customize dashboards with ease, providing a comprehensive view of critical information tailored to specific needs. It allows users to select from a wide array of predefined visual widgets (Charts, KPIs, Maps, Map Drill Down, iframe, HTML, 2D Floor Maps, Video Walls, Data Grids, Data Selector, Word Cloud, timelines, Advanced Charts and Web Components), configure their data sources, and arrange them on dashboards to create actionable insights.

Key Capabilities:

1. Customizable Dashboards

  • Users can create customized dashboards to display specific data insights, such as weather updates, traffic patterns, or street lighting information.
  • Flexible layout options enable users to arrange widgets in a Grid layout for structured alignment or a Fluid layout for freeform positioning, including overlapping widgets for dynamic visualization.

2. Wide Range of Widgets

  • Configure each widget to display data from specific sources in various presentation styles.
  • Advanced widget settings (Colour Pallet, WYSIWYG) allow further customization, styling and setting up the map provider configurations for map widgets.

3. Reusable Application Widgets

  • Save frequently used widget configurations as Application Widgets for quick reuse, streamlining the dashboard creation process.
  • Reduces redundancy by enabling the use of preconfigured widgets instead of starting from scratch.

4. Interactive Experience

  • Dashboards are interactive, enabling filters, drill-downs, events on user interactions (e.g., displaying data upon map clicks).
  • Create customized HTML content by enabling 3rd party Java script CSS libraries.

Dashboards

The Dashboard feature in the Quantela platform provides a centralized interface for visualizing critical data insights. It allows users to display real-time and historical data from various sources, configured to meet their specific operational needs.

Key Features of Dashboards:

1. Domain-Specific Dashboards

  • Create targeted dashboards for specific areas, such as weather monitoring, traffic insights, or energy usage.

2. Interactive Visualizations

  • Dashboards support interactive functionality, enabling users to drill down into details or trigger additional visualizations based on actions like map clicks.

Reporting

The Scheduled Reports feature in the Quantela platform allows users to automate the delivery of insights from dashboards, datasets, or custom datasets at specified intervals using CRON expressions or advanced visualization layer. Whether for operational monitoring or strategic analysis, users can ensure that key stakeholders receive up-to-date reports without manual intervention.

Key Features of Scheduled Reports:

1. Customizable Frequency

  • Reports can be scheduled to be sent on a daily, weekly, or monthly basis, ensuring timely delivery of information.

2. Flexible Formats

  • Dashboard and custom dataset reports are delivered in PDF format, offering a clean, easy-to-read presentation.
  • Dataset reports can be exported in PDF, Excel, or CSV formats, providing flexibility for data consumption and further analysis.

3. Targeted Distribution

  • Reports can be sent to individual users or a group of recipients, enabling streamlined distribution across teams or departments.

Architecture

Our platform is built on a modular, scalable architecture that seamlessly integrates devices, applications, and data to drive intelligent decision-making and automation. It’s designed to adapt to your business needs, ensuring a secure and flexible solution for today and the future.

At the core, the Edge & Device Layer (Southbound) connects your IoT devices, IT systems, operational technologies (OT), and video applications, enabling real-time data capture and processing. This data flows into the Integration & Data Layer, where it’s aggregated, analysed, and turned into actionable insights. Here, core services like automation rules, event management, and data orchestration ensure that systems respond intelligently to real-time data.

On the user side, the Visualization & Interaction Layer (Northbound) provides intuitive dashboards, mobile apps, and open APIs for easy access to insights and integration with third-party systems. This architecture is secure, flexible, and future proof, supporting SaaS, private cloud, or on-premises deployments. It’s designed to scale as your business grows, offering a seamless experience for adding new devices, users, and services over time.

Security

The Quantela platform prioritizes data protection through multiple layers of security, ensuring that only authorized users can access sensitive information. With robust security mechanisms in place, we safeguard your data against unauthorized access, fraud, and cyber threats.

Key Security Features:

1. Strong Authentication and Authorization

  • The platform employs role-based and attribute-based access controls to ensure that users only have access to the data and features relevant to their role.
  • We enforce multi-factor authentication (MFA) for added protection against unauthorized access.

2. Password Policy

  • A strong password policy is enforced, requiring users to create complex passwords that meet security standards, reducing the risk of credential-based attacks.
  • We ensure all our password are encrypted using strong algorithm like SHA256 before storing in the Database.
  • CAPTCHA is used during the login process to prevent automated login attempts and protect against brute force attacks.

3. Account Lockout Protection

  • To prevent unauthorized access, accounts are locked after five consecutive failed login attempts, ensuring that suspicious login activity is flagged promptly.

4. Periodic Security Audits

  • We conduct regular third-party security audits to identify vulnerabilities and ensure that the platform complies with the latest OWASP security guidelines. This continuous monitoring guarantees the highest standards of security.

5. Secure Data Sharing

  • All data transfers across the platform are encrypted using HTTPS to ensure secure communication channels, protecting data during transmission.

6. Secure Open APIs

  • Our open APIs are protected by strong authentication mechanisms to ensure that only authorized applications and users can interact with the platform, mitigating potential security threats.

Administration

The Quantela platform provides a comprehensive administration feature set, allowing administrators to manage users, departments, roles, and access control in a secure and organized way. These capabilities help ensure that only the right people have access to the necessary data and functions, maintaining efficient workflows while enforcing security and privacy policies.

Key Administration Features:

1. User and Department Management

  • The platform allows the creation of departments, which logically group users based on operational needs. A department does not have to correspond to a physical entity but can represent any structure that suits the organization’s requirements.
  • Users can be assigned to one or more departments, streamlining the management of user access and responsibilities.

2. Role-Based Access Control (RBAC)

  • Roles in the platform determine which features and functionalities a user can access. Each user must be assigned a specific role, ensuring they only interact with the data and tools necessary for their responsibilities.
  • RBAC enables fine-grained access control, preventing unauthorized users from accessing critical platform components.

3. Group Management

  • Groups in the platform allow users with shared responsibilities to be organized together. These groups can be used for monitoring or managing event notifications, making it easier to assign specific tasks or alerts to the right individuals.
  • Groups also work with Distribution Rules to ensure that notifications about important events are sent to the correct users within the group.

4. Access Control and Data Personalization

  • The platform supports detailed access control features that can be customized for each user or group, ensuring that only authorized personnel can view or interact with specific data.
  • Access specifiers allow administrators to fine-tune data restrictions, providing a tailored experience for each user while enhancing security and compliance.

Deployment

The Quantela platform leverages cutting-edge technologies to ensure seamless and scalable deployment. With containerization powered by Kubernetes and robust CI/CD pipelines built using Jenkins, we provide a flexible and automated deployment process that supports rapid, reliable, and secure platform delivery.

Key Deployment Features:

1. Kubernetes for Containerization

  • The platform is containerized using Kubernetes, allowing for efficient and scalable management of microservices. Kubernetes enables us to deploy, scale, and maintain applications with high availability, ensuring that the Quantela platform can meet the demands of enterprise-grade environments.
  • Containerization also ensures that platform features are packaged and isolated, reducing dependencies and enabling faster updates and rollbacks.

2. Jenkins for CI/CD Pipelines

  • We utilize Jenkins to automate our Continuous Integration (CI) and Continuous Deployment (CD) processes. This CI/CD pipeline allows us to quickly and reliably push code changes through multiple stages—development, testing, staging, and production—ensuring that new features and bug fixes are deployed with minimal manual intervention.
  • With automated testing integrated into the pipeline, every new change is thoroughly validated before it reaches the production environment, reducing the risk of errors and enhancing the quality of the platform.

3. Automated Test Cases

  • Automated test cases are written for each platform feature to ensure that the system behaves as expected across various use cases and environments. These tests are integrated into the CI/CD pipeline, enabling fast feedback and ensuring platform stability with every deployment.
  • The automated tests cover functional, integration, and regression testing, helping identify issues early in the development process and improving overall platform reliability.

Integration

1. Biometric Integration

Our Biometric Integration service allows businesses to securely verify identities using biometric data, such as fingerprints, facial recognition, or iris scans.

This service helps reduce fraud and impersonation, making it easier for businesses to grant and monitor access. Our platform connects seamlessly to various biometric scanners, securely processing and matching data to stored user profiles.

Fully customizable, it adapts to each organization’s unique security and privacy requirements.

Quantela platform by integration of 3rd party drivers and devices allows to capture of Biometric details of user like Fingerprints, Eye Retina etc. In Modern world, biometric integration is important to avoid the frauds and establishing the trust between parties involved in each business transaction.

2. Geo Spatial Mapping

The Quantela platform offers advanced Geo-Spatial Mapping capabilities, enabling real-time visualization of IoT device data over interactive maps. This powerful feature helps users quickly locate and track devices, visualize alerts, and make data-driven decisions based on geospatial insights.

Key Features:

2.1. Real-Time IoT Device Data Visualization

  • The platform supports geo-spatial rendering of various IoT devices, allowing users to visualize device locations and monitor real-time alerts on an interactive map. This enhances situational awareness and enables faster decision-making by providing contextual location-based insights.

2.2. 2D Floor Plan Support

  • The platform includes 2D floor plans, enabling users to visualize device locations within buildings or on specific floors. This is particularly useful for monitoring assets in large facilities, campuses, or smart city environments, offering a detailed and intuitive view of where devices are located.

2.3. TopoJSON for Quick Insights

  • TopoJSON is used to efficiently render map data, optimizing the visualization process for large-scale, real-time data. This technology ensures quick and responsive mapping, providing immediate insights into device locations, alerts, and other geospatial data.

2.4. Customizable Base Maps

  • The Quantela platform allows users to configure and select from a variety of map providers as the base map for geospatial visualization. Whether using popular mapping services or custom basemaps, users have the flexibility to choose the best option for their specific requirements.

With these powerful Geo-Spatial Mapping features, the Quantela platform provides users with an intuitive and efficient way to monitor IoT devices, track real-time events, and gain actionable insights based on location data.

3. Expansion for more integration

The Quantela platform is designed with flexibility and scalability in mind, enabling seamless integration with a wide range of external systems and data sources. Its architecture supports the addition of new connectors, making it easy to expand the platform’s capabilities and integrate with various technologies.

Key Integration Capabilities:

3.1. Additional Connectors for Diverse Data Sources

  • The platform allows for the integration of additional connectors to expand its connectivity options. New connectors can be easily added to facilitate the ingestion of data from different systems, ensuring that the platform can interact with a wide array of technologies, devices, and third-party services.

3.2. Support for SCADA and Modbus

  • SCADA (Supervisory Control and Data Acquisition) systems and Modbus are widely used in industrial and manufacturing environments. The Quantela platform supports the integration of these systems through specialized connectors, enabling seamless data exchange between the platform and SCADA systems or Modbus-enabled devices. This integration provides real-time monitoring and analytics for industrial applications.

3.3. M2M (Machine-to-Machine) Communication

  • The platform is also capable of supporting M2M communications, facilitating direct interaction between devices without human intervention. By integrating with M2M protocols, the platform can connect to a broad spectrum of IoT devices, sensors, and machines, enabling automation and data flow across various industries.

3.4. Seamless Data Ingestion from Multiple Sources

  • With scalable integration capabilities, the platform can ingest data from a variety of sources—whether on-premises systems, cloud-based services, or industrial IoT networks—allowing users to consolidate and analyze data from disparate systems in one unified platform.

IoT Control Centre

1. Device Monitoring

The Quantela platform provides a comprehensive device monitoring solution that allows city administrators to visualize and manage a wide range of sensors and devices from multiple manufacturers and protocols—all within a single pane of glass. By aggregating data from diverse sources, the platform offers a holistic view of the city's infrastructure, enabling real-time monitoring, data-driven decision-making, and actionable insights.

Key Features of Device Monitoring:

1.1. Unified Visualization for Diverse Devices

  • The platform supports sensors and devices from different providers and manufacturers, integrating data from various protocols such as IoT, SCADA, Modbus, and more. Whether it's traffic sensors, air quality monitors, or smart streetlights, the platform consolidates all data into a unified view, making it easy for administrators to monitor the health and status of devices across the city.

1.2. Real-Time Health Monitoring

  • City administrators can monitor the real-time health status of critical devices and sensors, ensuring that everything is functioning as expected. The platform provides visual cues for device performance, so issues such as malfunctions or connectivity problems can be quickly identified and addressed.

1.3. Smart City Use Cases

  • Traffic Management: Monitor and manage traffic congestion, optimize signal timings, and improve flow by leveraging real-time data from smart traffic sensors and cameras.
  • Public Safety: Track the status of safety devices such as surveillance cameras, smart lighting, and emergency response systems to ensure public safety across the city.
  • Environmental Monitoring: Keep track of air quality, noise levels, and pollution sensors, providing the city with vital insights into environmental health and enabling swift action to mitigate hazards.
  • Waste Management: Monitor smart waste bins and recycling systems to optimize collection schedules and reduce operational costs, improving overall waste management efficiency.
  • Energy Efficiency: Visualize data from smart meters, lighting systems, and building management systems to manage energy usage and promote sustainability within the city.

1.4. Actionable Insights for Better Decision-Making

  • By centralizing data from various devices, the platform empowers city administrators with actionable insights. Real-time monitoring and historical analytics allow for better-informed decisions on city operations, infrastructure management, and service delivery.

1.5. Seamless Integration of IoT Devices

  • Whether you are managing public transport systems, smart street lighting, or environmental sensors, the Quantela platform integrates all your IoT devices, providing a streamlined view of data. It enables predictive analytics, alerts for anomalies, and the ability to trigger automation in response to detected issues.

With Quantela's Device Monitoring, city administrators gain a powerful tool for overseeing and managing diverse smart city systems. The platform helps streamline operations, enhances public safety, and provides a comprehensive view of the city's performance, all from one central dashboard.

2. Device Provisioning

Quantela Asset Manager simplifies and streamlines the entire device provisioning process, ensuring efficient and accurate installations across your smart city infrastructure. The platform provides seamless integration from unit scanning to final installation, ensuring that every step of the process is tracked, verified, and documented for future reference.

Key Features:

2.1. Efficient Unit Installation

  • With Quantela Asset Manager, the device provisioning process becomes more streamlined, reducing installation time and improving operational efficiency. The platform guides technicians through the entire process, ensuring that each unit is installed according to predefined specifications.

2.2. Precise Device Scanning and Tracking

  • Effortlessly scan the components of a unit using QR codes or RFID tags to automatically capture the device’s details. This ensures that the correct devices are installed and tracked from the point of receipt to final installation, preventing errors and reducing manual data entry.

2.3. Installation Verification

  • Quantela Asset Manager verifies that each unit has been installed correctly by comparing the scanned components to the pre-configured installation requirements. This ensures that all installations meet operational standards and reduces the risk of costly errors or rework.

2.4. Capture Installation Proof

  • Technicians can capture photos of the assembled and installed units as proof of work done. These photos are stored alongside the device details in the platform, offering a clear and verifiable record of the installation process for accountability and audit purposes.

2.5. Real-Time Updates

  • As devices are provisioned, real-time updates are available on the platform, enabling administrators to track the status of each installation. This feature enhances coordination, reduces delays, and ensures that all installations are completed on schedule.

2.6. Comprehensive Asset Management

  • Beyond device provisioning, the Asset Manager tracks the entire lifecycle of each device, from installation to maintenance and decommissioning. This provides a complete view of all assets, enabling better planning, proactive maintenance, and optimized management of your smart city infrastructure.

We are continually updating our website and more will be added soon. We welcome your feedback and suggestions.

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