Machine data that reaches the people who need it, ready for analytics and AI.
We build the telemetry layer for plants, labs, and remote sites: hardware that captures machine data, stores it locally, and sends it to live dashboards. That structured data supports monitoring today and analytics and AI later.
Machine and sensor parameters read at the source, with local buffering
Telemetry units that push structured metrics to central dashboards
Battery and solar-powered stations reporting over GSM and Wi-Fi
Cycle times, downtime, line speeds, and process parameters tracked continuously
Production and process metrics in one view for plant and remote teams
Clean, timestamped records suited to reporting, analytics, and AI models
Our own hardware captures the data, so quality starts at the sensor and not downstream.
Data is stored locally and sent on to the dashboard as structured metrics.
We build a reliable data foundation before analytics or models, so any intelligence on top rests on clean data.
ESP32, Raspberry Pi, BeagleBone Black, custom boards
GSM, Wi-Fi, MQTT, HTTP, Modbus, serial
Web dashboards on MEAN and MERN stacks, MongoDB
C, Python, C#, JavaScript
Timestamped logging, local buffering, structured time-series records
Built for plants, labs, and field operators who need machine and site data in one place, today and as a base for analytics.
Direct access to senior telemetry and industrial AI engineers. Zero layers, deterministic turnaround.
