AI Research
Our R&D exists to move capability from papers into production. Four active research programs feed directly into the product portfolio.
Combining acoustic, pressure, and vibration signals with deep learning to detect physical-world failures — leaks, bearing wear, intrusion — minutes after onset with order-of-magnitude fewer false alarms.
Pipeline Leak Detection · Predictive Maintenance
Fine-tuning and serving open-weight language models inside customer VPCs with governed retrieval, evaluation gateways, and sovereign data guarantees for regulated industries.
Custom AI Models · Government deployments
High-fidelity discrete-event simulation of warehouses and production lines, calibrated continuously from live WMS and IoT telemetry for risk-free experimentation.
Warehouse Digital Twin · Manufacturing
Model compression and offline-first inference for remote sites — compressor stations, buses, factory floors — where connectivity is intermittent and latency is safety-critical.
Attendance AI · Transport Tracking · Oil & Gas
Read our field notes on the blog
The capabilities defining the next decade of operations — deployed by our teams today.
Autonomous agents that execute multi-step business workflows end to end.
Specialist agents that coordinate — triage, analyze, act — under human command.
Defect detection, attendance, and safety monitoring at production line speed.
Forecasts for demand, failure, and risk — weeks before they materialize.
Live simulations of physical operations you can experiment on risk-free.
Language models fine-tuned on your knowledge, deployed inside your walls.
Inference at the source — factories, pipelines, campuses — even offline.
Document-to-decision pipelines across ERP, CRM, and legacy systems.
A 30-minute strategy call. Your workflows, our architects, and a concrete view of what AI can automate first.
Silchar · Bengaluru · Guwahati · London · New York
