Agni
14 days to diagnose.
3 minutes with Agni.
India's military operates the world's most complex multi-vendor arsenal. Russian avionics alongside French fighters, Israeli drones, American transports, and indigenous platforms. Every system has a different language. Nobody translates between them — until now.
Why we're building Agni
A fighter aircraft reports an engine vibration after landing. Today, it takes two days for the maintenance crew to run manual diagnostics. Three more days for a depot engineer to arrive. Another week to locate and ship the spare part. The aircraft — a $72 million asset — sits on the tarmac for two weeks, contributing zero combat capability.
Agni changes this. It passively monitors equipment health through existing data buses, detects anomalies using patterns learned across the entire fleet, and generates actionable diagnostic reports for field engineers — identifying the root cause in minutes instead of days, and pre-positioning the right spare parts before the failure even occurs.
We are building Agni because readiness is not a maintenance problem — it is a diagnostic intelligence problem. The money is being spent. The equipment exists. What's missing is a system that knows what's about to break before it breaks.
“In the field, downtime is not an inconvenience. It is a vulnerability.”
What Agni does
Listens
Passively monitors every data bus on the platform — engine, avionics, structural, weapons — without ever commanding or interfering with any system.
Diagnoses
Matches anomaly signatures against patterns seen across the fleet. What took days of manual diagnosis now takes minutes of pattern recognition.
Predicts
Tracks component degradation curves to forecast failures before they happen. Pre-positions spare parts at the right base, at the right time.
Reports
Generates detailed diagnostic packages for field engineers — root cause hypothesis, recommended action, spare part availability, and full telemetry context.
One platform. Every vendor.
No other system integrates diagnostics across Russian, French, Israeli, American, and indigenous Indian platforms on a single intelligence layer. Agni speaks every data bus protocol and learns patterns that cross vendor boundaries — because a bearing failure doesn't care who manufactured the engine.
A machine stirs on a tarmac, far from home,
its pulse a whisper only data knows.
No wrench can hear what vibration speaks —
but a pattern, learned across a thousand flights,
names the bearing before it breaks.
This is not automation. This is memory.
This is fire that learns where not to burn.