Axiom Math

Axiom Math: AI for Theorem Proving and Verification

Axiom Math is an AI reasoning engine for mathematics — autonomous theorem proving, mathematical discovery, and formal verification — built on the Lean proof assistant. Its public-facing tool, AXLE, is a scalable Lean engine that developers and researchers can use to verify proofs, transform them, and generate formal Lean proofs autonomously through its AxiomProver system.

Because Lean proofs are machine-checked, the appeal extends beyond mathematics to verifying that AI-generated code and reasoning are provably correct, not just plausible.

Key Features

• Autonomous formal proof generation (AxiomProver)
• Proof verification and transformation
• AXLE scalable Lean engine
• Interactive AXLE Playground
• Public API access
• Theorem extraction and reasoning

Ideal Use Case

Axiom Math fits mathematicians, formal-methods researchers, and engineers who need machine-checked proofs — and teams exploring provable correctness for AI-generated code. It suits work where "probably right" is not enough and conclusions must be formally verified.

How Axiom Math differentiates

Axiom Math builds on Lean for machine-checked, verifiable output rather than relying on an LLM's unverified reasoning, and exposes the engine through a public playground and API. It raised a $200M Series A led by Menlo Ventures at a reported ~$1.6B valuation, with a benchmark claim of a perfect score on Putnam 2025.

FAQ

What is Axiom Math? An AI reasoning engine for theorem proving and formal verification, built on the Lean proof assistant.

What is AXLE? Axiom Math's public, scalable Lean engine for verifying, transforming, and generating proofs.

Why does formal verification matter for AI? It can prove AI-generated code and reasoning are correct, not just plausible.

Who backs Axiom Math? A $200M Series A led by Menlo Ventures at a reported ~$1.6B valuation.

tl;dr

Axiom Math is an AI reasoning engine for theorem proving and formal verification built on Lean, with a public AXLE engine and a $200M Series A led by Menlo Ventures.