The agent records the evidence, the legal basis, and the policy version behind a determination, inside infrastructure the institution controls.
Solutions · Government & Critical Infrastructure
Replaces · Centralized SCADA · Vendor-locked compliance systems
Verifiable AI for government.
Sovereign AI for energy, transport, and national security.
Energy, transport, and national-security systems need decision-making that is both sovereign and accountable. nOS gives institutions verifiable decision traces with no vendor lock-in, full democratic accountability, and data portability by design. Trace Labs works with European agencies and national infrastructure operators to deliver sovereign AI built on the OriginTrail DKG.
Decision traces enshrinedPolicy decisions with full lineage Cross-agency information sharing Critical infrastructure event chains Sovereign AI decision audit trails
What gets captured
Most relevant memory layers
Verifiable
Working memory captures private agent reasoning. Shared memory is where multi-party context coordinates. Verifiable memory is where decisions are enshrined.
Sovereign
Owned by institutions, not vendors
Audit-ready
Democratic accountability
Deployment & partners
European agencies · National infrastructure operators
Real enterprise data, processed in production, with decision traces enshrined as Knowledge Assets in the OriginTrail DKG.
The problem
The case for verifiable decisions in government & critical infrastructure.
Public institutions are being asked to adopt AI while remaining accountable to citizens, auditors, and courts. A benefits determination, a procurement scoring, or a grid intervention must be explainable long after the model that informed it has been retrained or retired.
Sovereignty compounds the requirement. Running decisions inside a vendor platform means the record of public reasoning lives somewhere the institution does not control, and the EU AI Act adds explicit documentation and oversight duties for high risk public uses.
How it works
How a decision becomes verifiable.
Context other agencies are entitled to see moves into shared memory, so cross agency cases stop depending on document requests.
The determination records its reasoning, including discretion exercised and the official accountable for it.
The trace is enshrined in the DKG so oversight bodies and citizens can verify that process was followed, without the institution surrendering control of the underlying data.
What changes
What this changes in practice.
The change is institutional memory. Determinations made under one administration, one policy version, and one supplier remain explainable under the next, because the reasoning was recorded independently of the system that produced it.
It also alters the procurement conversation. When the evidentiary record lives in an open decentralized knowledge graph rather than inside a vendor platform, switching suppliers stops meaning losing the account of how public decisions were made.
FAQ
Questions about government & critical infrastructure.
Can this run entirely on our own infrastructure?
Yes. A self hosted deployment means no data leaves your environment, which is the usual condition for sovereign and critical infrastructure use.
What does the EU AI Act require of public sector AI?
Higher risk uses carry documentation, traceability, and human oversight obligations. Capturing rationale at decision time addresses the evidentiary core of those duties rather than producing documentation after the fact.
How does this affect vendor lock-in?
Decision traces are enshrined in an open decentralized knowledge graph rather than a vendor database, so the institution keeps the record even if it changes supplier.
Does this make sensitive decisions public?
No. What can be verified is that a decision followed policy and rested on stated evidence. The content of the underlying case data remains governed by the institution’s own disclosure rules.
How does this support freedom of information requests?
Requests turn on what was decided and on what basis. Records that already carry their evidence and policy version reduce the retrieval effort and the risk of an incomplete response.
Is this compatible with sovereign cloud requirements?
Yes. A self-hosted deployment keeps data inside the institution while still allowing decisions to be independently verified, which is the combination sovereign requirements usually demand.
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