ResEthiq was founded on a single conviction: every high-stakes AI system in healthcare, finance, and government deserves a cryptographic foundation. We built the infrastructure to make that possible — for any team, in any pipeline.
"To make the integrity of AI training data independently verifiable, cryptographically provable, and regulatorily defensible — for every high-stakes AI system, in every regulated industry, anywhere in the world."
Every integrity claim ResEthiq makes is cryptographically signed and independently verifiable. We do not ask regulators, patients, or counterparties to take our word for it.
Forensic integrity requires reproducibility. Given the same dataset and policy, ResEthiq produces an identical result on any platform, any hardware, any time.
A Signed Policy Object produced today must still be verifiable in thirty years, with no ResEthiq infrastructure, no internet connection, and no dependency on our continued existence.
Phase A is real and deployed. Phase B and C are on the roadmap with honest timelines. We do not claim 95 fingerprints are live when 40 are built and 55 are in progress.
India is at an inflection point in AI adoption. Healthcare AI is being deployed in hospitals. Credit AI is making lending decisions for millions. Legal AI is entering courtrooms. In every one of these contexts, the answer to "can you prove the training data was not manipulated?" is: no.
We looked at the global landscape — academic literature, commercial data quality tools, open-source libraries — and found the same answer everywhere. The best prior system we found implemented 12 forensic fingerprints. We had already sketched 95.
ResEthiq is built from first principles: cryptographic immutability at the foundation, forensic statistics in the middle layer, and a regulator-ready audit bundle at the output. India's first data veracity infrastructure.
ResEthiq incorporated. Core team assembled. Problem definition and market validation complete.
hasher.py, merkle.py, signer.py, lineage.py completed. Ed25519 + Merkle proof architecture validated.
Five test modules shipped. Bayesian synthesis with FDR correction complete.
Full 15-category forensic framework designed. Phase A build begins. World-record fingerprint count established.
Phase A complete. First pilots in healthcare and finance. SPO format production-ready.
Distributional geometry, temporal analysis, physical constraints. Enterprise pilots expanding.
If your organisation deploys AI in a regulated industry and needs cryptographic proof of training data integrity — we would like to speak with you.