Reasonable AI

Reasonable AI

Applied AI research for formal verification

Overview

Reasonable AI builds AI systems for formal verification of mission-critical software. It combines language models with formal methods to generate, repair, and verify machine-checkable proofs alongside production code, using Verus. It aims to help engineers overcome the verification bottleneck by delivering proofs that scale with AI-assisted code, while analyzing failure modes to prevent cheating. Its approach emphasizes small, fast models that can approach larger systems' proof quality, enabling verifiable correctness for each line of code.

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About Reasonable AI

Simplify's Rating
Why Reasonable AI is rated
C
Rated B on Competitive Edge
Rated C on Growth Potential
Rated D+ on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2025

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Simplify's Take

What believers are saying

  • Nvidia amplified Reasonable's August 2026 proof-synthesis results across its developer channels.
  • London hiring remains active, with interns joining in July 2026 and followers climbing.
  • Formal verification demand rises as verified code needs six or seven proof lines each.

What critics are saying

  • No customers, revenue, or external funding are disclosed on reasonable.io or LinkedIn.
  • Two founders and interns signal a tiny team facing Nvidia, OpenAI, and DeepSeek.
  • If proof synthesis commoditizes, Reasonable loses its research moat before 2027.

What makes Reasonable AI unique

  • Reasonable fine-tuned Nemotron 3.5 Lightning on Verus proofs in August 2026.
  • It nearly matched a model fifty times larger on pass@3, while running faster.
  • Its research targets the formal-verification bottleneck created by AI-generated mission-critical code.

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