aiQu Labs

ai · INDUSTRIAL AI

Vision, maintenance and copilots for the plant.

Models trained on your parts, your defects and your assets — deployed into the systems your teams already use.

Talk to an EngineerPhysical AI & Edge

PICK THE NUMBER FIRST

One metric, agreed before the build.

Industrial AI earns its place by moving one number: scrap, downtime, throughput or safety incidents. We pick the number with you before the build, measure the baseline, and report against it honestly.

Scrap & rework rate
Measured per line and per defect class before the model goes in.
Unplanned downtime
Hours per asset per month, from your maintenance records.
Throughput
Units per shift at current quality, so a speed gain is not a quality loss.
Safety incidents
Observations and near-misses, not just reportable events.

CAPABILITIES

Five industrial AI builds.

Deployed into the systems your teams already open every morning.

  • Defect detection & quality inspection

    Surface, dimensional and assembly defects caught at line rate, with the evidence frame saved against the unit.

    What you get

    • Defect classes agreed with your quality team
    • Per-unit traceability and audit trail
    • Retraining path for new SKUs and variants

  • Safety & PPE compliance

    Helmet, vest, glove and safety-zone monitoring on existing CCTV, with privacy-preserving processing at the edge.

    What you get

    • Zone and rule config your EHS team controls
    • Edge processing, no footage leaving site
    • Trend reporting instead of alarm spam

  • OCR, counting & tracking

    Batch codes, labels and part marks read on moving product; units counted and tracked across stations.

    What you get

    • Reading on curved, printed and etched surfaces
    • Count reconciliation against MES and ERP
    • Station-to-station tracking for WIP visibility

  • Predictive & prescriptive maintenance

    Vibration, thermal and acoustic analytics per asset: anomalies first, remaining-useful-life once history supports it.

    What you get

    • Warnings routed into your CMMS workflow
    • Confidence bands stated on every prediction
    • Recommended action, with the signal that drove it

  • Industrial copilots & agents

    Grounded LLM assistants over SOPs, manuals, historian and maintenance records, with citations on every answer.

    What you get

    • Answers cite the document and page
    • Deployed on-premise or in your cloud tenancy
    • Audit log of every question and response

INTEGRATION

It has to land in your existing stack.

An alert nobody sees is not a result. We write into the systems that already drive work.

  • PLC & SCADA
  • MES
  • Historian
  • CMMS / EAM
  • ERP
  • MQTT / OPC-UA

SECTORS

Where we have built this.

NEXT STEP

Bring one line and one defect class.

That is enough for a scoped pilot with a measurable before and after.

Talk to an EngineerSee the delivery pipeline