What we work with
Six disciplines, one substrate.
Each shows up in products you can buy today and in the research we keep contributing to.
Multi-Party Computation
A way for multiple parties to jointly compute over their inputs while keeping those inputs private. Each party learns the result and nothing else. No single party (including us) ever sees the raw data.
Zero-Knowledge Proofs
A proof that a statement is true without revealing why it's true. A user proves they're over 18, resident in the EU, or accredited, without disclosing the underlying document.
Verifiable credentials
Standards-based digital credentials signed by an issuer and presented by a holder, with selective disclosure built in. The interoperability layer between national eIDs, wallets, and verifiers.
Secure data collaboration
MPC extended to joint analytics, risk scoring, and benchmarks across organisations that can't share raw data, across regulated boundaries, by design.
Know Your AI
Verifiable identity, delegation, and authorization for AI agents. Decentralized identifiers and zero-knowledge proofs make every autonomous action traceable to a responsible human or organisation.
Quantum-safe key distribution
MPC-based key distribution that never assembles the full key at any single node. Pure software on existing infrastructure, NIST PQC algorithms, optional QKD integration through the standard ETSI 014 API.
Research DNA
The math behind the company.
Partisia was spun out of Aarhus University by Professor Ivan Damgård and the cryptography research group that invented much of the math the rest of the industry now uses. We continue to publish, sit on standards bodies, and contribute to open-source reference implementations.
One of the cryptographers whose foundational work on commitment schemes, multi-party computation, and zero-knowledge proofs powers the privacy-preserving systems being deployed today.
Further reading