The agent records inspection data, the specification revision in force, and the supplier attestations behind the material involved.
Solutions · Manufacturing
Replaces · Fragmented MES · Disconnected quality systems
Verifiable AI for manufacturing.
Production intelligence that compounds on the factory floor.
On the factory floor, quality and process decisions are spread across fragmented MES and disconnected quality systems. nOS captures quality decisions, process adjustments, and compliance checks as compounding knowledge, so production intelligence grows richer with every batch. The result is a verifiable record manufacturers can reuse across lines, suppliers, and audits.
Decision traces enshrinedQuality decisions across batches Process adjustment rationale Multi-tier supplier attestations Compliance events with full chain
What gets captured
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.
Multi-tier
Supplier traceability
Real-time
Quality decision capture
Deployment & partners
Manufacturing consortia · Industrial 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 manufacturing.
A quality decision on the line is made in seconds and defended for years. When a nonconformance is dispositioned, the reasoning lives in an inspector’s judgement, a supplier certificate, and a specification revision that may since have changed. If a recall follows, scoping it means proving which units were affected and why each disposition was acceptable.
Multi tier supply makes that harder, and the EU Digital Product Passport will make the evidence expectation explicit. Agents that inspect, disposition, and schedule can move faster than the record keeping around them, which is precisely the gap that turns a contained quality event into an uncontained one.
How it works
How a decision becomes verifiable.
Component and quality context that suppliers or customers are entitled to see moves into shared memory, so traceability survives the tier boundary.
Disposition decisions record the criteria applied, the concession granted, and who was authorized to grant it.
The trace is enshrined in the DKG, so recall scoping and customer claims rest on verifiable reasoning rather than reconstructed paperwork.
What changes
What this changes in practice.
The change shows up first in containment. When quality decisions carry verifiable reasoning, the population affected by a defect is derived from the record rather than estimated conservatively, and the difference between a precise recall and a precautionary one is measured in production runs.
Over time it changes supplier relationships. Attestations that are signed and referenced rather than emailed create a shared factual basis, so disputes about what a supplier certified become checks rather than negotiations.
FAQ
Questions about manufacturing.
How does this change a recall?
Scoping depends on knowing which units were affected and why each disposition was acceptable. When those decisions carry verifiable traces, the affected population is derived from records rather than estimated, which is the difference between a narrow recall and a broad one.
Does this require replacing our MES or QMS?
No. Those systems continue to run. nOS connects to them and adds the layer they were never designed to hold: the reasoning behind each decision, in a form other parties can verify.
How does this relate to the Digital Product Passport?
The passport regime expects product level evidence that follows the item across companies. Decision traces provide the provenance behind the claims a passport carries, rather than a static file that asserts them.
Can suppliers contribute without our systems?
Yes. Suppliers reference and sign their attestations; nOS does not require them to adopt your stack for the resulting trace to be verifiable.
Where should a manufacturer start?
With one decision type that is high volume and frequently questioned, usually nonconformance disposition. Instrumenting a single workflow deeply produces usable precedent faster than broad shallow coverage.
Does this work across plants with different systems?
Yes. Plants keep their own MES and QMS. Because traces reference signed evidence rather than requiring one shared database, the record remains verifiable across heterogeneous sites.
Start free
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.
Go Pro
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.