Application Development

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Software for intelligent and data-driven applications

We have curated some of the finest open source libraries, frameworks, languages for rapid application development. It includes IoT, data processing, rule engines, telemetry, gateways and mobile applications.

Model Driven
Customizable
Distributed
Computing
  • Android (ARM64).
  • Single board Linux computers.
  • Cloud/On-Prem servers.
Frameworks

Device connectivity protocols and frameworks:

  • IEC62541 (OPC-UA), MODBUS/TCP, IEC61499, IEC61850, IEC62056 (DLMS/COSEM), MQTT, BACnet, CAN, SPI, I2C, RS-485, UART, Websockets, SocketIO, REST APIs, ZeroMQ, XMPP, SNMP, RDF, SPARQL etc., to connect with data sources (logical assets).
On-Prem/Self-hosted
  • Data collected is stored, processed and archieved locally. Low dependency on off-premises servers unless the system design requires.
AI/ML

AI/ML libraries to build intelligent applications:

  • Classification, Regression, Clustering algorithms.
  • Expert Systems to execute business rules.
  • Linear programming and optimization.
  • Time series analysis.
  • Quantitative analysis.
  • Deep Learning.
  • Generative AI.
  • TinyML.
Simulations

Simulations play an important role in developing intelligent systems.

  • OpenModelica.
  • EnergyPlus.
  • OpenStudio.
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  • Multiple data sources are combined and converted into a single format for analysis and storage.

  • Structured and unstructured data are both handled by reliable data storage and management components.

  • Enhancing interoperability through standards-compliant data frameworks and formats for AI/ML models.

  • A diverse array of open-source and commercial software facilitate the creation of efficient applications.

  • Decision support components enable users to explore data, analyze trends, and make informed decisions.

  • Easy and secure integration with external applications such as CRM, ERP, workflows and data APIs.

  • Easy and secure DevOps of software, firmware and models to maintain system integirty and performance.

  • The application architecture incorporates standards-compliant security measures for data protection.

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