Industry demand
High-assurance sectors are adopting AI without mature tooling to prove safety. Demand for verified agents is outpacing supply of specialized infrastructure.
High-assurance venture capital
AK Venture Corp backs founders building formal verification and Lean-based systems for autonomous agents in domains where probabilistic confidence is not enough.
Mission
In industries where failure is not an option — aerospace, cryptography, medical devices, and safety-critical robotics — formal verification remains the gold standard for correctness.
The AI wave has largely skipped this requirement. Production agents rest on probabilistic foundations that cannot issue the mathematical guarantees high-assurance applications demand.
We invest in companies that close that gap: systems that can be machine-checked for safety, reliability, and correctness before they ship into the real world.
Opportunity
High-assurance sectors are adopting AI without mature tooling to prove safety. Demand for verified agents is outpacing supply of specialized infrastructure.
Lean 4 and modern theorem-proving stacks are finally usable in product engineering — not only research labs — with better automation, libraries, and AI-assisted proof tools.
Most generalist funds lack the technical depth to underwrite formal methods startups. Concentrated capital and operator support can define an emerging category early.
Verified agents can reshape clinical decision support, transport, finance, and industrial control — domains where trust is a product requirement, not a brand claim.
Investment map
We fund companies building the stack for machine-checked agent behaviour — from core provers to domain-specific verification products.
Tooling that lets teams specify agent behaviour, prove safety properties, and continuously re-check models as systems evolve — across healthcare, aerospace, autonomous vehicles, and medical devices.
Systems that prove safety and reliability properties for clinical decision support, diagnosis assistance, and patient monitoring agents — designed with regulatory pathways and patient safety as first-class constraints.
Companies pushing Lean 4 and dependent types into agent planning, decision policies, and interaction protocols — bringing machine-checked certainty to autonomy stacks.
Formal methods for assistive robots operating around vulnerable people — verifying motion, interaction, and fail-safe behaviour in messy real-world care environments.
Verification tools for privacy-preserving AI — ensuring agents that handle advertising, insurance, or clinical data maintain mathematically backed privacy guarantees.
Next-generation authorization systems that use formal verification to ensure access policies are complete and correct — critical for cloud security and zero-trust designs.
Products that combine machine learning with formal verification to accelerate proof synthesis, conjecture formalization, and mathematical discovery workflows.
Learning systems that teach formal methods with interactive, machine-checked feedback — growing the talent pipeline this industry desperately needs.
How we work
We partner closely with portfolio companies navigating the unique challenges of shipping formally verified AI systems.
Survey formal methods and agent research for technical inflection points with real product pull.
Invest in teams that understand both the proof stack and the market they intend to reshape.
Offer practical help on architecture, go-to-market, hiring, and high-assurance customer design partners.
Connect portfolio companies with researchers, operators, and each other to compound progress.
Positioning
We concentrate on formal verification and Lean-based AI systems — not a thin slice of a generalist thesis.
We underwrite research-heavy products and can evaluate proof infrastructure, not only pitch decks.
Relationships across aerospace, healthcare, finance, and industrial buyers who need verified systems.
We help define language, standards, and go-to-market patterns for a market still being formed.
Get involved
Founders, researchers, and co-investors — if you are working on formal methods for AI agents, we want to hear from you.