Safe, Verifiable AI
Praecise is the infrastructure layer that makes AI governance enforceable — giving every agent a verified identity, every action an auditable record, and every organisation the control they need.
Where AI identity, compliance, and action converge
Praecise builds the infrastructure that makes AI governance real — not just policy documents, but enforceable controls at the point where agents act. Every delegation is scoped, every action is recorded, and every identity is verifiable.
Our platform spans decentralised identity, credential verification, agent authorisation, cross-chain asset movement, and the full suite of emerging agentic protocols — so organisations can deploy AI with confidence, not compromise.
Everything needed to govern AI in production
Identity & Compliance
Verifiable identity for humans and AI agents alike. Biometric verification, zero-knowledge proofs, credential issuance, and agent authorisation — all anchored to open standards so identity is portable and not locked to any vendor.
Agentic Governance
The infrastructure for safe autonomous AI. Scoped delegation, time-bounded permissions, spend controls, human-in-the-loop checkpoints, and a full audit trail of every action an agent takes — before regulators ask.
Verified Asset Movement
Cross-chain transfers with cryptographic attestation and a complete, tamper-proof settlement record. Agents can move value across systems with the same accountability as human-authorised transactions.
Developer Platform
One API surface for the entire governance stack. Intent lifecycle management, multi-chain balance queries, webhook delivery, and fee estimation — built for teams shipping AI products in regulated environments.
Protocol Interoperability
Native support for every major agentic protocol — MCP, A2A, ACP, TAP, UCP, x402, and i402. AI agents built on any runtime can participate in the same governance framework without forking or adapting.
Governance that executes, not just documents
Most AI governance stops at policy. Praecise enforces it at runtime — every agent action, credential presentation, and asset transfer is verified, constrained, and recorded before it happens.
EU AI Act · GDPR · NIST AI RMF
Compliance built into the execution path
Verified Agent Identity
Every AI agent carries a W3C decentralised identity with cryptographic delegation — so you always know who authorised it, what it is permitted to do, and when that permission expires.
Immutable Audit Trail
Model inferences, autonomous actions, credential presentations, and data lineage are recorded in tamper-proof, privacy-preserving audit logs — meeting EU AI Act Art. 12 and GDPR requirements.
Scoped Agent Delegation
Humans delegate to agents with fine-grained permission sets: resource scopes, spending limits, protocol restrictions, and time-bounded expiry. No unconstrained agent authority.
Accountable Asset Movement
Cross-chain transfers are attested in a Trusted Execution Environment and settled on-chain — giving regulated organisations a complete, auditable record of every asset movement an agent initiates.
Building the foundations of trustworthy AI
Sound governance requires infrastructure that does not yet exist. We research and build it — so that accountability, safety, and verifiability are engineered in, not bolted on.
Verifiable AI Agents
AI agents that carry provable identity, delegation chain, and permission scope — enabling safe multi-agent collaboration without trust assumptions.
Privacy-Preserving Compliance
Zero-knowledge proofs and selective disclosure let organisations prove regulatory compliance without exposing sensitive data to counterparties or auditors.
Open Agentic Protocols
Research into emerging standards — MCP, A2A, ACP, TAP, UCP — ensuring governance frameworks keep pace with how AI agents actually communicate and transact.
Ready to make AI accountable?
Whether you are deploying autonomous agents, building AI-native products, or navigating regulatory requirements — Praecise gives you the infrastructure to do it safely.