Theorem GTM brain

Theorem applies AI and formal verification to prove critical software properties for engineering and security teams.

category

AI-assisted formal software verification

market profile

  • text: Testing samples executions while formal proofs can establish specified properties over all executions, making specification quality central.
  • text: AI-assisted coding increases pressure to verify complex software without relying only on scarce formal methods specialists.

personas

  • title: Systems engineering leader
    pains:
    • Critical low-level code must remain correct across migrations and releases
    • Manual proofs need expertise and time their team cannot spare
  • title: Product security or cryptography lead
    pains:
    • Tests may miss rare attack paths in security-sensitive implementations
    • Must demonstrate which security properties have actually been established
  • title: Developer infrastructure lead
    pains:
    • AI-generated changes expand the review burden
    • Verification must fit existing CI workflows

icp

  • text: Engineering organizations maintaining security-critical systems, cryptography, GPU code or other complex infrastructure.
  • text: Organizations with established development and CI processes where failures carry substantial security or reliability costs.

message pillars

  • text: Proofs address the execution space beyond examples covered by tests.
  • text: Automate proof work that historically required specialist teams.
  • text: Deliver a proof that can be checked in development pipelines.

objections

  • objection: Do we need formal verification specialists to get value?
    response: Start with one important property and ask Theorem to scope the specification and proof deliverable.
  • objection: Does a proof mean all bugs are gone?
    response: A proof covers stated properties and assumptions, so review both the specification and its boundaries.

competitors

  • name: Runtime Verification
    website: https://runtimeverification.com/formal-verification
    why: Provides formal verification and CI-integrated software assurance.
  • name: Certora
    website: https://www.certora.com/
    why: Offers formal verification tools and specialist services, especially for smart contracts.
  • name: Harmonic
    why: Develops AI proving and is expanding into software verification.

influencers

  • name: Rajashree Agrawal
    url: https://www.linkedin.com/posts/enorm_theorem-raises-6m-from-khosla-for-ai-powered-activity-7424649140208480259-TcPq
    why: Co-founder and machine learning researcher working on the verification pipeline.

keywords

  • AI formal verification
  • software proof automation
  • verify cryptography code
  • formal methods CI
  • AI generated code correctness
  • systems code verification
  • Lean proof automation

voice

  • Technically precise and research driven
  • Ambitious, with a dry programming language wit

signals

  • text: Engineering team is migrating or changing a security-critical codebase and cannot tolerate regressions.
  • text: A team is adopting AI code generation while seeking stronger correctness guarantees in CI.

stack

  • Lean
  • CI

hiring

  • Systems Engineer
  • ML Researcher
  • OSS Ecosystem Lead
  • Recruiter
  • Research fellowship

pricing

model: unknown

motion

sales_led

channels

  • research publications
  • open source
  • SEO
  • YC launch

confidence

medium

Founders

  • name: Jason Gross
    title: Founder/CEO
    role: CEO
    bio: Developed performant, verified code powering trillions of https connections to Chrome and other browsers.
  • name: Rajashree Agrawal
    title: Founder/CTO
    role: CTO
    bio: Babysitting models.

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