Eldric covers the cognitive layer end-to-end in automotive — R&D documentation search, plant-floor integration, in-vehicle inference for predictive maintenance and driver assistance. Works offline when the connection to fleet HQ is down.
Index decades of vehicle development docs, supplier specs, test reports. Engineers query across everything.
Same industrial protocols as the smart-manufacturing story — OPC-UA, Modbus, MQTT. Robot cells, paint lines, body-in-white. Soft real-time.
Eldric kernel on the in-car compute box for predictive maintenance, driver-assistance perception, voice agent. Soft real-time inside the cabin.
When the cellular link is down, the vehicle still thinks. Store-and-forward catches up when connectivity returns.
Trajectory and recovery policy on telemetry windows. Fits the time-series shape of vehicle data better than a transformer does.
Different vehicle programs walled off — passenger, commercial, performance. One platform, clean separation.
Eldric can run compact simulation models on the vehicle's own compute that roll a known physical system forward step by step — on an ordinary CPU, no GPU, no network. Useful for on-board scenario testing and what-if over a bounded window.
What this is — and isn't. A simulation of a known model — not a prediction of real traffic, and not autonomous driving. Hard real-time vehicle control stays with the dedicated controller; Eldric sits one layer up. Fidelity holds over a bounded window, then drifts.
Eldric handles the cognitive layer. Safety-critical control stays with the certified ADAS / motor controller. We do not claim functional-safety certification — that lives one layer below.
Write to office@eldric.ai. Tell us what you are trying to do; we will tell you whether Eldric is a fit and, if not, what would be.