Agentic Visibility for Smarter Manufacturing
Multimodal AI agents monitor your production lines on-device and in the cloud — detecting anomalies, surfacing root causes, and routing decisions to the right person before problems compound.
From Camera Feed to Corrective Action in Three Steps
CAM-01
Grinding · Line 3
CAM-02
Polish · Line 1
CAM-03
Assembly · Line 2
Trusted by manufacturers shipping to Zwilling, Fiskars, and Williams Sonoma.
From precision cutlery to electronics and metal products.
Deploy in Weeks, Not Months
From single-station pilot to full production rollout. Measure defect reduction, first-pass yield improvement, and ROI at every phase.
Real-Time Production Line Visibility
Monitor every inspection event across stations, shifts, and lots. Drill into any defect with full image evidence, confidence scores, and operator context.
Station Overview
Automated Shift Quality Reports
First-pass yield trends, defect breakdowns by type and station, and corrective action tracking — generated automatically at every shift change.
FPY at 94.2% across all stations this shift. Zero critical holds.
Shift B · Feb 17, 14:00SOP-Driven Quality Standards Enforcement
Visual inspection criteria for edge chips, burrs, and temquinnper color deviations. Thresholds set per product SKU with AQL sampling rules for lot-level accept/reject decisions.
15–25ms inference on NVIDIA Jetson. Autonomous quality decisions with zero cloud dependency.
Scale from one station to entire facilities. Centralized analytics across every production line.
Visibility → Pilot → Scale — with measurable ROI at each phase.
Quantify COPQ reduction, scrap savings, and inspection ROI across every deployment phase.
Multimodal Agents That See, Reason, and Act — On-Prem and in the Cloud
Vision models run on-device at 18ms. Complex cases escalate to cloud reasoning automatically. Every agent decision is grounded in your plant's own production history and SOPs — and improves with every operator review.
Vision agents scan every unit on-device, surface probable root causes from your SOPs and incident history, and route corrective actions to the right operator. Every review decision teaches the system.
Why this root cause was identified
Alternative causes
Ask about defect trends, shift performance, or SOP compliance in plain English. Every answer is grounded in your plant's own inspection evidence and root cause history — not generic AI.
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"askAgent": {
"query": {
"text": " "
Detection runs on the factory floor with no cloud dependency. Every inspection event is captured with full station, operator, and batch context. Evidence is stored immutably for compliance and retraining. AI closes the loop with plant-specific root-cause analysis.
Industrial-Grade Architecture: Edge AI to Cloud Analytics
Jetson Orin
Edge Inference
Computer vision inference runs on NVIDIA Jetson with TensorRT optimization. Zero cloud dependency for real-time defect detection.
Confluent Kafka
Event Streaming
Every inspection event streams with full context — station, operator, batch, timestamp.
AWS S3
Evidence Storage
Images, metadata, and audit trails stored immutably for compliance and retraining.
Bedrock Agent
Root Cause Analysis
Multi-modal AI analyzes defect patterns, correlates with process parameters, and generates root cause hypotheses grounded in your plant's SOPs and production history.
Jetson Orin
18msEdge Inference
Computer vision inference runs on NVIDIA Jetson with TensorRT optimization. Zero cloud dependency for real-time defect detection.
Confluent Kafka
< 1sEvent Streaming
Every inspection event streams with full context — station, operator, batch, timestamp.
AWS S3
asyncEvidence Storage
Images, metadata, and audit trails stored immutably for compliance and retraining.
Bedrock Agent
Root Cause Analysis
Multi-modal AI analyzes defect patterns, correlates with process parameters, and generates root cause hypotheses grounded in your plant's SOPs and production history.
See Agentic Production Intelligence Running on a Real Line
No slides. A live demo with real production data — see multimodal AI agents inspecting, reasoning, and routing decisions end-to-end.
Company
SNF Global LLC
Operating as IntelFactor.ai
Location
Santa Barbara, California
“We installed IntelFactor for defect detection, but now I use it daily just to monitor line status remotely. It eliminated multiple on-site checks per week and caught defects we'd been missing for months.”
Plant Manager
Wiko Cutlery