Solutions · Transportation
Replaces · Fragmented maintenance systems · Single-operator data silos

Transportation.

Predictive maintenance powered by shared context across operators.

Rail and transit networks depend on predictive maintenance, but maintenance context is fragmented across operators and single-vendor systems. nOS connects component provenance, maintenance events, and cross-border tracking into shared context graphs, so agents generate trusted insights from multi-operator data. Trace Labs works with operators such as Swiss Federal Railways (SBB) to make maintenance decisions verifiable across organizational boundaries.

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Decision traces enshrined

What gets captured

  • Real-time component provenance
  • Maintenance decision rationale
  • Sensor anomaly investigation chains
  • Cross-border tracking and recall lineage
    • Most relevant memory layers

    Shared & Verifiable

    Working memory captures private agent reasoning. Shared memory is where multi-party context coordinates. Verifiable memory is where decisions are enshrined.

    Deployment & partners

    Swiss Federal Railways (SBB)

    Real enterprise data, processed in production, with decision traces enshrined as Knowledge Assets in the OriginTrail DKG.

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    Power up your business with the OriginTrail DKG.

    Create Knowledge Assets, build shared context graphs, enshrine decision traces. Open-source infrastructure. Community support. Zero cost.

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    The full Network Operating System.

    Custom agent frameworks (Hermes, OpenClaw, LangChain, Claude). Custom data pipelines. Custom integrations with your enterprise systems. Dedicated infrastructure and support.