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 intersect
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.
Praecise Digital Identity Standard
PDIS is an open standard for decentralised identities for humans and machines. With cross-chain support currently spanning 5 chains, privacy-preserving credential inheritance lets agents provably chain back to verified human guardians — solving the critical “who is behind this agent?” problem.
Guardian (PDIS-1) for humans, Agent (PDIS-2) for autonomous systems
Tenzro, Tempo, Canton, EVM (7 chains), and Solana
Covering identity, payments, delegation, knowledge, consensus, and more
Standards and protocols for safe, transparent AI
Praecise designs and develops open standards and protocols for making AI safe, transparent, and accountable — from identity and delegation to spending controls and audit trails.
EU AI Act · GDPR · NIST AI RMF · OWASP Agentic Top 10
Compliance built into the execution path
Guardian-Agent Hierarchy
Every autonomous agent links back to a KYC-verified human guardian via on-chain credential inheritance — solving the 'who is behind this agent?' problem without revealing personal data.
Scoped Delegation
Guardians grant agents explicit authority with spending limits, allowed chains, allowed assets, and time-bounded expiry. Three-layer enforcement ensures agents never exceed their bounds.
Immutable Audit Trail
Every identity lifecycle event, balance transaction, and agent action is recorded to tamper-proof audit logs — queryable by DID, agent, or date for full regulatory compliance.
Human-in-the-Loop Controls
Configurable approval thresholds require guardian sign-off above a set amount. Guardians can freeze or revoke any agent at any time, with cascading freeze across all agents.
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.