About TrueVectors
TrueVectors is an independent research project built around a single conviction: as AI agents produce more of the work, proof — not another AI opinion — is the trust layer that lets that work be relied on. It is built and published by its creator on personal time, unaffiliated with any employer, model vendor, or code-review product — independence is what makes the audits worth trusting.
Mission
Proof is the trust layer for AI-generated outcomes.
We build proof for teams that need evidence, not another AI opinion dressed up as confidence.
What we sellProof
math > opinionWhat we make
One thing, done deliberately: the TrueVectors Auditor — it checks what an AI agent claimed it did against what it actually produced, and stamps every verdict with where it came from, so you can tell a proof from a guess. The discipline has a name, Agent Behavioral Reliability, and the engine is neuro-symbolic — the model proposes, the math decides. The mechanism lives on the product page, and every public verdict is reproducible from a cited source on the audits page.
Where the method comes from
The discipline behind TrueVectors — pulling signal out of noisy work, grounding it in evidence, and building a durable trail of what can be proved — has prior deployment in industrial settings where being wrong is physical and expensive: aviation safety, oil & gas, and petrochemical refining. TrueVectors applies that same discipline to a new substrate: AI agent sessions and the outcomes they produce. Meet the founder →
Status and availability
TrueVectors is a research project today and will operate commercially from 2027. Until then, the public audit record is free and nothing is sold. Public software distribution is closed; authorized enterprise evaluations are delivered CI-first. The engine is proprietary and environment-local by default.
TrueVectors is in early access
Reproduce the public evidence, or request an authorized CI-first evaluation on your own agents' work.
- Founder — Radhakrishnan Poomari
- Blog · [email protected]
TrueVectors · Trust Through Proof · Local-first by default