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HoldField
← Demo console

Physical AI quality automation

From hidden quality risk to controlled Physical AI evidence.

HoldField turns inspection stations, finishing lines, electronics builds, and precision-part workflows into controlled evidence systems — starting with edge-AI inspection and scaling into PLC, motion, and robot-assisted quality only after proof.

$0 – $0Recoverable / station / yr
0.0 moTypical payback
0%Coverage before PASS

Illustrative ranges from the default line below — not measured customer results.

Pick your line

Which workflow are you proving?

Inspection StationsCamera + lighting + evidenceFinishing LinesSurface defects + coating proofElectronics BuildsConnector + OCR + assembly checksPrecision PartsBurrs + scratches + thread damage

The system

One inspection station, scaling into Physical AI.

Start at edge-AI inspection. Each further stage is unlocked only after proof — never switched on by default.

Edge AIlive today
PLCearned
Motionearned
Robotearned
Inspection
capture
route
present
sort
Finishing
surface
reject
re-light
transfer
Electronics
verify
hold
fixture
load
Precision
measure
divert
rotate
orient
Live today — edge-AI inspection Earned on the autonomy ladder

The problem

Quality risk map.

Eight ways cost hides on an uninstrumented line — sized by exposure.

Escaped defects

High

Bad parts ship.

Supplier disputes

High

No shared proof.

No replayable evidence

High

Decision cannot be rebuilt.

Manual variation

Elevated

Results drift by shift.

Audit risk

Elevated

Records scattered.

Slow root cause

Elevated

Days to trace.

Line delay

Moderate

Inspection bottleneck.

Inspection labor

Moderate

Headcount follows volume.

What HoldField controls

Not just detection — the whole proof chain.

Every decision carries capture, coverage, rules, and sealed evidence behind it.

  1. CaptureFrame + lighting recipe
  2. DetectEdge-AI signal
  3. MeasureDefect vs threshold
  4. CoverageNo coverage, no pass
  5. RulesCriteria pack
  6. EvidenceSealed receipt
  7. RouteAccept / reject / review

The shift

Before and after one controlled evidence layer.

  • Defects found late.Caught at the station.
  • Operators vary.Same spec each cycle.
  • Disputes drag on.Replayable proof.
  • Root cause takes days.Cause by part, lot, supplier.
  • Audits are manual.Searchable records.

The artifact

Every decision becomes a sealed receipt.

EVIDENCE RECEIPTSealed
Inspection ID
DEMO-INSPECTION-0001
Station
DEMO-STATION-A
Lot
DEMO-LOT-0001
Decision
REJECT
Reason
DEFECT_OVER_THRESHOLD:COATING_BLEMISH
Coverage
100%
Measured / limit
1.4 mm / 1 mm
Rule pack
demo-industrial-fittings-v1
Model pack
demo-detector-v1
Reviewer
none
Hashsha256:demo…a1b2

Synthetic record from the deterministic demo engine — not a customer record.

The visibility

Quality risk, now visible by station, part, lot, supplier, and reason.

Escape rate

0.4–0.9%

Source reject / review / return tags

First-pass yield

96–99%

Source station decisions

Coverage proven

98–100%

Source coverage receipts

Dispute resolution

2–5 days

Source evidence bundle

Time to root cause

1–3 days

Source lot + supplier trace

Audit effort

60–80% lower

Source structured records

Review queue

3–6%

Source REVIEW decisions

Stations ready

8 of 9

Source readiness gates

Figures shown are illustrative ranges, not measured customer results.

The value

ROI calculator.

Use your line numbers. HoldField returns a conservative-to-optimistic range — then the deployment measures reality.

Your line
Advanced inputs

Estimated annual benefit

$0 – $0

  • Rework avoided$21k – $39k
  • Scrap avoided$66k – $122k
  • Complaints avoided$21k – $39k
  • Investigation time$69k – $128k
0.0months payback

Range 2.2–4.1 months on an illustrative deployment cost.

Annual parts inspected
500,000
Annual inspection labor
$58k
Investigation hours saved
1,969–3,656 hrs
Deployment success target
90%

Illustrative ranges, not a guarantee. A deployment measures your real numbers.

The path

Autonomy is earned step by step.

Each level unlocks by proof, not assumption.

  1. 01 Observe

    Measure only

    Unlocked

  2. 02 Assist

    Flag likely defects

    After review accuracy

  3. 03 Gate

    Hold failures

    After coverage proof

  4. 04 Control

    Route decisions

    After PLC validation

  5. 05 Autonomy

    Run within proven limits

    After safety + audit

Each level unlocks only after evidence, coverage, rules, and station health prove the prior one.

Start with one painful quality workflow.

Pick one station, one part family, one defect class, and one KPI. Prove value before scaling into PLC, motion, or robotics.

  • 1 station
  • 1 part family
  • 1 defect class
  • 1 evidence target
Build station fit reportRun the live cycle