Built on Claude API

Give your factory a brain

Numnio turns shop-floor cameras and sensor streams into zero-defect visual inspection, pinpoint predictive maintenance, and real-time yield optimization — powered by Claude.

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Three products, one brain

Each module runs on Claude with domain-specific tooling. Deploy one or combine all three into a single factory copilot.

VisualInspect

AI Quality Inspection

Sub-second defect detection on your existing camera lines. Claude's multimodal reasoning explains each defect in plain language — cause, severity, and suggested fix.

  • Works with existing industrial cameras
  • Defect explanations in plain English
  • Auto-generated inspection reports
PredictOps

Predictive Maintenance

Anomaly detection on vibration, temperature, and power telemetry. Claude correlates signals across machines and writes maintenance briefs operators can act on.

  • Anomaly scoring across sensor streams
  • Root-cause analysis with Claude reasoning
  • Maintenance tickets drafted automatically
YieldPilot

Production Optimization

Real-time setpoint suggestions for yield and throughput. Claude explains trade-offs so engineers can approve changes with confidence.

  • Real-time yield monitoring
  • Setpoint recommendations with rationale
  • MES / SCADA integration

How we build on Claude

Claude is not a bolt-on — it is the reasoning core of the platform.

Multimodal defect analysis

Camera frames and inspection images are analyzed with Claude's vision capability to classify defects and generate human-readable root-cause reports.

Agentic maintenance workflows

Claude agents query MES logs, cross-reference manuals, and draft maintenance tickets — operators just review and approve.

Structured JSON output

Every analysis returns schema-validated JSON (defect_type, severity, confidence, actions) that plugs directly into factory systems.

Batch factory-wide analytics

Nightly Batch API jobs run cross-line analysis: drift detection, supplier quality trends, and production anomalies across the whole plant.

Pilot results

From co-development projects with partner factories.

99.2%
Defect detection rate
<400ms
Inference latency per frame
40%
Reduction in unplanned downtime
12%
Average yield improvement

Contact

Deploying AI in your factory? Let's talk.

visualfeed@numnio.dev