- Improved process efficiency by 23%
- Reduced manual monitoring dependency by 60%
- Enabled secure remote access and ML-based predictive alerts
- Integrated with existing SCADA using MQTT and Modbus over ARM Cortex-based gateway
Embedded EDGE Technology
customer project
EPC & Critical Infrastructure
Client: Mid-size municipal corporation managing water purification plants.
Scope: Deployed custom EDGE computing modules integrated with sensor networks and real-time analytics for decentralized monitoring and automated decision-making
Project team
Anuja Desai
Program Manager
Selva Prakash
Chief of Operations
Jassi Singh
EDGE Computing Specialist
Competence
Strong in real-time embedded systems, Linux RTOS, custom board support packages, and industrial protocol stacks.
Security
Embedded TPM, secure bootloaders, data diode-based isolation, OctavveShield-compatible for cloaking and MFA.
Technologies
ARM Cortex-M, NVIDIA Jetson, Raspberry Pi Compute Module, RTOS, EdgeX Foundry, MQTT, CANbus, Modbus, OPC-UA.
Best practices
Modular architecture, containerization via Docker/Yocto, OTA patching, DevSecOps culture.
Quality
MIL/Industrial-grade hardware, EMC-compliant designs, OTA update readiness, 99.99% uptime assurance
Innovation
AI inference on edge (Jetson), digital twin enablement via local compute, real-time anomaly detection, blockchain-secured logging
features
Our Technology
Our EDGE devices process sensor data instantly, triggering alerts, optimizing energy, and ensuring safety compliance.
ask questionsIntegrated multi-factor authentication (MFA), cloaking, and secure firmware updates.
ask questionsPlug-n-play interfaces, open-source friendly, and future-ready via firmware containerization.
ask questionsDevices support TensorFlow Lite, NVIDIA DeepStream for low-latency inferencing at the EDGE.
ask questionsOur 24/7 support
- Global & Local Hybrid Support: On-call diagnostics, firmware OTA push/pull, edge logging with remote AI triage.
- Channels: Dedicated WhatsApp group, secured client dashboard, bi-weekly system health report.
- Emergency Protocols: Redundant edge-to-cloud fallback, offline manual override mechanisms, SLA-bound replacement dispatches within 72 hours.
Answers to popular questions
With our modular firmware & containerized app stack, MVP → Deployment = 4–6 weeks..
ROI seen in 6–8 months via reduced bandwidth use, faster decisions & workforce automation.
Our agile DevOps-based rollout with CI/CD for embedded systems ensures no missed sprints.
AI-model ready, cyber-resilient, and scalable to 5G, blockchain, and digital twin integration.