Real firmware and hardware engineering. We write embedded software on ESP32 and ARM, drop into assembly when the timing demands it, speak industrial protocols like Modbus, and carry the build all the way to cloud dashboards — designed for reliability, security and scale.
Our Embedded & IoT Stack
ESP32 · ARM · Assembly-level tuning · Modbus · Sensor fusion · Raspberry Pi · AWS IoT Core · Greengrass · Kinesis
Comprehensive IoT solutions that drive business outcomes
Real-time tracking of industrial equipment with predictive maintenance and remote oversight capabilities.
Powerful edge processing with AWS IoT, ESP32, and Raspberry Pi for low-latency applications.
Intuitive cloud dashboards with live data visualization, alerts, and analytics for informed decisions.
Enterprise-grade security, encrypted communication, and reliable infrastructure from edge to cloud.
Real-world IoT solutions delivering measurable impact
Automated monitoring for machines deployed in factories. Sensors detect activity patterns, trigger instant alerts and log analytics for operational efficiency — with management dashboards, predictive maintenance analytics and remote oversight. Built end to end: hardware → firmware → cloud, deployed across multiple manufacturing facilities.
Automated rat monitoring system for food godowns. IoT sensors detect activity patterns, trigger instant alerts, and log comprehensive analytics for operational efficiency. Helps maintain hygiene standards and reduce losses.
Let's bring your assets, equipment, and data online—securely and affordably. Start your IoT journey today.
Schedule a ConsultationReal embedded and IoT engineering, written up in detail
An end-to-end IoT build — hardware, embedded firmware, edge intelligence and cloud — to solve a real rodent problem in a food godown.
A thorough look at one of the most important protocols in device automation — essential reading for industrial IoT.
Why IoT, not the AI bubble, is where much of the real long-term opportunity lives.
A detailed technical solution for industrial IoT with AI at the edge — including the common mistakes and their fixes.
Real-time monitoring and predictive maintenance — connecting the factory floor to the cloud.
Bringing embedded, LLM and analytics workloads together in one coherent system.