About Nanchs
We make enterprise AI trustworthy
Nanchs provides an independent, real-time verification layer for enterprise AI outputs — enabling teams in regulated industries to ensure accuracy, enforce policy, and prove compliance.
Enterprise teams adopted AI faster than they could trust it. In banking, healthcare, and government, a single unverified answer can breach policy, mislead a customer, or create regulatory exposure. Manual spot checks don't scale, and swapping models doesn't solve the underlying problem: there was no independent way to prove an output was correct.
Nanchs was founded in 2026to close that gap. We built a model-agnostic verification layer that scores every output on factual accuracy, policy compliance, bias & safety, and source traceability — in under 200 milliseconds — and records an immutable audit trail for every assessment.
The result is the Nanchs Score™: a single, defensible number that turns untrustworthy AI into an auditable system of record teams can stand behind.
- 2026
- Nanchs founded
- <200ms
- Real-time verdicts
- 0–100
- The Nanchs Score
- Any LLM
- Model-agnostic
What we stand for
Accuracy first
We believe AI is only useful when it is right. Every decision we make starts with measurable correctness.
Independent by design
Verification must be separate from generation. We stay model-agnostic so our verdict is always impartial.
Radical transparency
A trust score means nothing without evidence. We show our work with sub-scores and full audit trails.
Founder
Harry Williams
Harry founded Nanchs in 2026 after seeing regulated enterprises struggle to deploy AI they could defend. His conviction is simple: verification should be independent, instant, and provable. That principle shapes everything Nanchs builds — a trust layer that lets serious organizations adopt AI without compromising on accuracy, compliance, or accountability.
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