Tejas
तेजस्Deterministic governance
The execution layer that makes AI defensible.
Confidence is not correctness, and a log is not a causal trace. Anything that controls physical infrastructure needs an execution record you can reproduce exactly and prove cryptographically.
Tejas is the answer to a problem that arrives the moment AI stops answering questions and starts operating things. A model that gives a different answer to the same input cannot be certified, cannot be replayed, and cannot be defended when someone asks why it did what it did. Tejas does not make the model deterministic — it wraps the execution in a layer that is, so the run can be reproduced, proven and explained afterwards.
Bounded execution, not best-effort
The pipeline is compiled into an execution graph with declared bounds. Structural, authority and execution determinism are enforced before and during the run, not asserted afterwards.
Exact replay
State, weights and environment are fingerprinted together, so a run from six months ago can be reproduced byte for byte rather than approximately re-created.
Cryptographic attestation
Every run produces a signed execution certificate anchored to a ledger entry. The claim 'this is what the system did' becomes something you can hand to an auditor.
Modular, and it degrades honestly
The layers work independently — each one improves the picture on its own, and the documentation says plainly what you lose by leaving one out. Runs offline, online or hybrid, from edge devices to enterprise clusters.
- Aerospace & unmanned systems
- Industrial & robotics
- Agriculture
- Regulated sectors generally