Axiomat
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.
- Website
- axiomat.com
- City
- San Francisco
- Country
- United States
- YC batch
- Fall 2026
- Team
- 3 people
- Stage
- Early stage
- AI-native
- Yes
More AI & models in San Francisco
AnthropicLab$965bnMafia
Safety-focused lab building the Claude models.
OpenAILab$852bn
Frontier model lab behind GPT and ChatGPT.
Cognition AI$48bn
Artificial Intelligence. Valued at $48bn (September 2026).
Scale AI$29bnHiring
Data-centric infrastructure to accelerate the development of AI
Perplexity$20bnMafia
Answer engine that cites its sources.
Faire$12.6bnHiring
The global online platform empowering independent retail.
Claim this profile
Free and instant: prove you run axiomat.com and edit the profile yourself.
- Your logo, office address and founder photos
- The ✓ Verified mark next to Axiomat across the site
- Open roles listed on the Hiring board
- A followed link back to your website
A rank card with Axiomat's standing on Labspie, or a simple badge. Both link to this profile and update themselves.
