Axiomat
Axiomat is a YC Fall 2026 (F26) company. Based in San Francisco, CA, USA. Team of 3.
About Axiomat
Summary
Axiomat builds a formal verification layer for AI agents that query company data, guaranteeing mathematically correct answers rather than statistically probable ones. It targets businesses that need employees or customers to trust AI-generated data answers without a human spot-checking each result. The product replaces manual review of AI outputs by proving query correctness before any answer is surfaced.
Business model
Priced as a B2B SaaS data infrastructure layer, with specific per-seat or usage terms not yet disclosed publicly.
Go-to-market
Enterprise and mid-market companies with structured internal data are the target buyers, reached through a sales-assisted motion anchored by a booked demo or a 15-minute expert call off the website.
From the Y Combinator listing
We make AI that never hallucinates.
Axiomat makes it impossible for AI agents to make mistakes when querying a company’s data. It formally verifies that the agents’ queries are correct before employees or customers rely on the answers. It is becoming increasingly important for companies to rely on AI without the need for humans to manually check the answers. This has created a need for systems which can guarantee correctness without limiting the agent’s capabilities. Axiomat provides the infrastructure to prove that answers are correct, starting with data queries and analysis. It brings mathematical guarantees to the agents working with your data. The team brings direct experience solving AI hallucinations through Ethan’s work as an Applied Scientist at AWS, where he worked on formally verifying AI responses. They also bring research experience in AI, LLMs, and formal methods from EPFL, the University of Toronto, and Georgia Tech.
Facts
- B2B / B2B
- San Francisco, CA, USA
- 3
- Active
- Early
Founders (3)
- Elad Perlman
- Jack Naimer
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