A common verification foundation for action and accountability in the AI era.

ChoiceProof researches cryptography, blockchain, and distributed systems to develop protocols and technical infrastructure that make AI execution independently verifiable.

We turn research into open specifications, reference implementations, and common verification procedures—building public infrastructure from Japan for people, organizations, and AI to collaborate on shared technical grounds.

Explore our research

Research & Development

ResearchResearch direction and domains at ChoiceProof ProjectChoiceProof Protocol specification and implementation

Research domains

Research archive

Applied Cryptography

Evidence models that preserve confidentiality and enable independent verification

We study commitments, digital signatures, verifiable data structures, and selective disclosure to prove necessary facts without exposing source data.

Blockchain & Distributed Systems

Public verification infrastructure without a single administrator

We study public anchoring, distributed consensus, finality, and data availability for sharing the existence, order, and integrity of evidence.

AI Execution Evidence

A record structure connecting autonomous execution with accountability

We design an execution-evidence layer that treats authority, attempts, external responses, final outcomes, cancellation, and reconciliation as one verifiable history.

Standards & Interoperability

A common technical language across organizations, products, and borders

We design evidence formats, canonicalization rules, verification procedures, and conformance tests that are independent of any particular product or chain.

Primary research and development project

ChoiceProof Protocol

A protocol that records consequential AI-agent execution as verifiable evidence, from delegated authority through final outcome and reconciliation.

As ChoiceProof’s first research and development project, it provides an open specification, reference implementation, and independent verifier that work across organizational boundaries while source data remains private.

Scope: Consequential execution by AI agents
Evidence: Authority, attempt, external outcome, and reconciliation
Architecture: Independent verification while source data remains within the organization

View the specification and implementation

About ChoiceProof

From trust as a promise to trust as proof.

As consequential decisions and execution are delegated to software and AI, society needs a structure that can establish who did what without relying only on the account of the party involved. ChoiceProof makes transparency and decentralization standard design principles for the future.

Our work extends beyond any single product or protocol. We are moving knowledge, decision-making, and execution from closed platforms toward open technical infrastructure—building the conditions under which AI can become trusted social infrastructure.

Message from the Representative Director

In an era when AI handles contracts, payments, and operational decisions, technical infrastructure must provide not only convenience, but a means to verify action and accountability.

Rather than delegate correctness to a new central administrator, we are building protocols that anyone can verify through the same procedure. Through research in cryptography and distributed systems, ChoiceProof will build that foundation from Japan for the world.

We welcome those ready to take on the last mile between AI capability and real-world action. Together, we will identify future challenges before they have names, redefine the problems themselves, and carry their solutions through—building new foundations for the world.

Representative Director呂冠辰

Careers

We are preparing to recruit founding members in cryptography, distributed systems, and AI execution infrastructure.

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