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HoldField

QMS demo · deterministic product illustration

Show how factory signals become controlled QMS recommendations.

A PLC reject spike, with robot and IoT context, becomes a quality signal and an NCR recommendation for QA.

Evidence sealedHuman approvalAudit packet prepared
Open present mode
Signal detected · 1 / 6A PLC reject spike, with robot and IoT context, raises a quality signal.
Use ← / → to step, 1–6 to jump, space to play or pause.

Evidence path

Machine signalpendingReject-count measurementpendingCalibration recordpendingQA signaturepending

QMS records prepared

Records are prepared once evidence is sealed.

QA approval requiredNot yet reached

The system prepared a quality signal and an NCR recommendation from machine evidence.

  • Approver: Quality engineer
  • Human approval required before any disposition.
  • No automatic disposition.

HoldField reads machine signals as data only. Recommendations route to QA; the line stays under local control.

Machine-to-QMS traceability view

Gaps remain
  • Machine-signal evidence evidence completeSignal, timestamp, and reject count bound to the event.
  • Calibration context evidence completeCalibration record linked to the station.
  • Root-cause linkage gap remainsRoot cause is confirmed by a human, not inferred.

A traceability view from machine signal to QMS record — read-only. HoldField never writes to the PLC or commands the line.

Deterministic product illustration. Regulated decisions remain human-controlled. HoldField reads machine signals as data only; QA owns the QMS decision and the line stays under local control.

QMS story: Factory signals become controlled QMS recommendations

Show how factory signals become controlled QMS recommendations.

  1. Step 1 of 6 — Signal detected. A PLC reject spike, with robot and IoT context, raises a quality signal.
  2. Step 2 of 6 — Evidence sealed. The machine signal, timestamp, and calibration context are bound and sealed as evidence.
  3. Step 3 of 6 — QMS record prepared. A quality signal and an NCR recommendation are prepared from the bound machine evidence.
  4. Step 4 of 6 — Human decision required. QA approval is required before the recommendation advances — no automatic disposition.
  5. Step 5 of 6 — Signature recorded. QA records a signature; the recommendation becomes a controlled record.
  6. Step 6 of 6 — Audit packet prepared. An audit trail shows machine-to-QMS traceability; HoldField never commands the line.

Approval: The system prepared a quality signal and an NCR recommendation from machine evidence. Quality engineer must approve. Human approval required before any disposition. No automatic disposition.

Readiness — Machine-to-QMS traceability view: Machine-signal evidence (evidence complete); Calibration context (evidence complete); Root-cause linkage (gap remains). A traceability view from machine signal to QMS record — read-only. HoldField never writes to the PLC or commands the line.

HoldField reads machine signals as data only; QA owns the QMS decision and the line stays under local control.