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Axiom

Verifiable AI startup building technology to mathematically prove that aI-generated code is safe, correct, and free of vulnerabilities before deployment to production systems.

AI Security
Code Verification
Total Raised
$200M
Last Valuation
$1.0B

Overview

Axiom is a verifiable AI startup tackling one of the most critical challenges in the AI-assisted software development era: proving that AI-generated code is safe to deploy. As large language models increasingly write production code — from individual functions to entire applications — the risk of subtle bugs, security vulnerabilities, and logical errors scales with adoption. Axiom develops formal verification technology that can mathematically prove properties about AI-generated code, providing guarantees that go beyond traditional testing. The company raised a $200M Series A, reflecting the massive market opportunity as enterprises adopt AI coding assistants but struggle to trust the output for mission-critical systems.

Funding History

1 round · Mar 2026
$200M
Total Raised
1
Valuation: $1.0B
Cumulative: $200M

Verifiable AI startup Axiom raises $200M to prove AI-generated code is safe to use

Investors not disclosed
Source

Frequently Asked Questions

How much has Axiom raised in total?
Axiom has raised a total of $200M across 1 funding round.
Who are Axiom's investors?
Axiom's investors include Undisclosed.
What does Axiom do?
Axiom is a verifiable AI startup tackling one of the most critical challenges in the AI-assisted software development era: proving that AI-generated code is safe to deploy. As large language models increasingly write production code — from individual functions to entire applications — the risk of subtle bugs, security vulnerabilities, and logical errors scales with adoption. Axiom develops formal verification technology that can mathematically prove properties about AI-generated code, providing guarantees that go beyond traditional testing. The company raised a $200M Series A, reflecting the massive market opportunity as enterprises adopt AI coding assistants but struggle to trust the output for mission-critical systems.