Building the foundations of trustworthy AI
Sound governance requires infrastructure that does not yet fully exist. We research and build it — so that safety and verifiability are engineered in from the start.
Verifiable Agent Identity
AI agents need cryptographically provable identity — not just API keys — to participate safely in multi-agent systems. We build the identity primitives that make agent trust legible and auditable.
Focus Areas
- W3C DID and Verifiable Credential issuance for agents
- Delegation chain verification across multi-agent systems
- Know Your Agent (KYA) — identity standards for autonomous systems
- Revocation and expiry mechanisms for agent authority
Privacy-Preserving Compliance
Compliance does not require exposure. Zero-knowledge proofs and selective disclosure let organisations prove adherence to regulation without revealing the underlying data — to auditors or to anyone else.
Focus Areas
- ZK proof of personhood and liveness for biometric verification
- Selective credential disclosure for minimum-data presentations
- Privacy-preserving audit trails that satisfy regulatory requirements
- GDPR-compatible data lineage without centralised data aggregation
Open Agentic Protocols
The protocols that AI agents use to communicate, transact, and delegate are still being defined. We participate in that definition and build infrastructure that works across all of them.
Focus Areas
- MCP and A2A — tool-level and agent-to-agent governance
- ACP and TAP — verified commerce and trust scoring
- x402 and i402 — identity-gated payments and wallet binding
- UCP — universal checkout and identity linking
Infrastructure, not theory
Our research is production-bound. Every system we design is built to run in regulated environments — with the security, reliability, and auditability that organisations and regulators expect from critical AI infrastructure.
Open standards — W3C DID, W3C VC 2.0, MCP, A2A, ACP
Privacy by design — ZK proofs and selective disclosure at every layer
Audit-ready — tamper-proof logs with full data lineage
Agent-safe — delegation-bounded autonomy with human override
Regulation-aligned — EU AI Act, GDPR, NIST AI RMF embedded
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.