Building Trust in AI Outputs
Knowlytix builds the verification layer that makes LLM outputs trustworthy enough for production in regulated industries. We're a team of engineers who believe that AI compliance should be mathematical, not probabilistic.
Our Mission
Enterprises are deploying LLMs into regulated domains — financial services, insurance, healthcare — where incorrect outputs have real consequences. The current stack (RAG + guardrails) retrieves the right documents and filters unsafe content, but nothing verifies that the LLM's answer actually complies with domain-specific rules.
We're building that missing layer: a verification platform that extracts claims from LLM outputs, verifies each one against structured domain rules, and produces auditable decision trails that satisfy regulatory scrutiny.
Team
We're a small, focused team with deep experience in enterprise AI, compliance systems, and mathematical modeling.
We're currently building in stealth. More to share soon. Join us.
What We Believe
Governance First
Every decision is auditable. Every output is traceable. We build for regulated industries where "it usually works" is not acceptable.
Explainability Over Black Boxes
Mathematical verification produces measurable, reproducible results — not probabilistic guesses. Regulators can inspect the methodology, not just the output.
Open Benchmarks
We publish our evaluation methodology and results against standard benchmarks. Claims should be verifiable — including ours.
Interested in what we're building?
We're always looking to connect with people working on AI compliance and verification.