Trustworthy AI & Operational Governance for Multi-Party Digital Systems

KATLAS Technology is a UK SME developing operational governance infrastructure for trustworthy AI and multi-party digital systems.

We help consortia address the point where data, AI recommendations and real-world action cross organisational boundaries. Rather than requiring partners to move their underlying data into a central platform, KATLAS enables organisations and individuals to retain custody while exchanging the minimum necessary proofs, permissions, requirements and authority needed to complete a trusted process.

What KATLAS can contribute to a consortium:

• distributed data and identity governance;

• self-sovereign wallets and verifiable credentials;

• privacy-preserving proof exchange;

• role-based permissions and authority;

• runtime governance around AI and automated decisions;

• human-in-the-loop / human-AI decision workflows;

• signed and verifiable operational receipts;

• multi-party workflow and handoff design;

• sandbox demonstrators and real-world pilot integration;

• evidence and auditability for regulatory, operational and research evaluation.

Our current work spans health and independent living, multi-medication/shared decision journeys, assisted mobility, freight and maritime, circular supply chains, e-mobility, industrial transformation, energy systems and community infrastructure.

KATLAS is particularly interested in Horizon Europe consortia addressing trustworthy AI, human-AI collaboration, distributed/federated data, digital health, independent living, smart mobility, circular materials and supply chains, autonomous transport and next-generation digital energy systems.

We seek collaboration with coordinators, universities, research institutes, hospitals and care organisations, industrial companies, mobility and logistics operators, cities/public authorities, infrastructure providers and specialist AI/data technology partners.

Our preferred role is as the trust, interoperability and operational-governance layer within a wider consortium, complementing domain specialists rather than replacing existing platforms or systems.