AI Solutions That Ship to Production

Reduce scrap and rework by detecting defects at the line with edge CV and explainable reviews.

• •Scrap/rework ↓ 10–25%
• •Inspection time ↓ 30–60%
• •False rejects ↓ 10–30%

Detect bearing/imbalance faults early and plan interventions to avoid unplanned downtime.

• •Fewer Unplanned Breakdowns ↓ 35%
• •Average Failure Warning → 14 days
• •Maintenance ROI ↑ 3x

Reduce door dwell and improve trailer turns with camera+OCR and a live yard map.

• •Dwell Time Reduction ↓ 15-30%
• •Faster Trailer Turns ↑ 2x
• •Annual Detention Savings ↑ $50K+

Nightly cycle counts and OSA/shrink visibility using drone/AMR scanning—no aisle closures.

• •Faster Cycle Counts ↑ 40%
• •Inventory Accuracy ↑ 99.2%
• •Stock Reconciliation ↓ < 5 min

Reduce door dwell and improve trailer turns with camera+OCR and a live yard map.

• •Dwell Time Reduction ↓ 15-30%
• •Faster Trailer Turns ↑ 2x
• •Annual Detention Savings ↑ $50K+

Accelerate claim triage using aerial damage scoring and assessor routing with defensible evidence.

• •Claim cycle ↓ 30–50%
• •Desk settlements ↑ 35%
• •Re-inspection rate ↓ <5%

Reduce claims cycle time and improve adjuster productivity with AI-powered triage and data extraction.

• •Cycle time ↓ 30-50%
• •Data entry ↓ 8 min saved/claim
• •Extraction accuracy 95%+

Validate insurance policy forms against state-specific regulations before SERFF filing. Catch compliance issues before they become objections, fines, or market conduct findings.

• •Faster Audit Prep ↓ 40-60%
• •Fewer SERFF Objections ↓ 85%
• •Validation Accuracy ↑ 98%+

Digitize your paper and microfilm archives. Make 15 years of records searchable in 90 days. Clear FOIA backlogs by finding documents in minutes instead of weeks.

• •Throughput 1,000+ pages/hour
• •OCR accuracy 95-98%
• •Searchable archive 60-90 days

Score every claim at FNOL — in milliseconds. Flag suspicious claims before payout with anomaly detection, image forensics, and network analysis.

• •Detection 3x more fraud vs. rules-based
• •Resolution 50% faster SIU case closure
• •Precision 75% fewer false positives

Detect defects from video/LiDAR and prioritize work orders for maintenance of way.

• •Inspection time ↓ 30–50%
• •Defect detection ↑ 95%+
• •Hazardous misses ↓ Zero

Automated vegetation encroachment detection and clearance violation alerts with GIS mapping and work order integration.

• •Survey time 35-45% faster (weeks → days per subdivision)
• •Detection 60-80% more encroachments vs. manual patrol
• •Costs 40-55% lower with targeted crew dispatch

AI-powered inspection for rail surface conditions, tie health, fastener integrity, and ballast indicators. Supplements visual inspection programs with consistent, documented detection.

• •Detection rate ↑ 40%+
• •Coverage ↑ 50-65%
• •Emergency costs ↓ 30-45%

Predictive thermal anomaly detection for wheels, bearings, and brakes with depot integration for scheduled maintenance interventions.

• •Service disruptions ↓ 58%
• •Emergency repairs ↓ 60%
• •Planned maintenance ↑ 73%

Automated signal aspect verification and switch position confirmation with PTC integration for fault reporting.

• •Signal Lamp Degradation ↑ 50–70% earlier detection vs. monthly walking inspection baseline
• •Switch Maintenance Alerts ↑ 40–60% proactive identification of developing position issues
• •Fault Documentation Time ↓ 60–75% reduction for investigation and reporting

Detect bearing/imbalance faults early and plan interventions to avoid unplanned downtime.

• •Fewer Unplanned Breakdowns ↓ 35%
• •Average Failure Warning → 14 days
• •Maintenance ROI ↑ 3x

Anomaly detection from drone/helo feeds for line, tower, and substation inspections—reducing inspection flights and accelerating findings.

• •Inspection time ↓ 45%
• •Defect detection accuracy ↑ 90-95%
• •Flight costs ↓ 30-40%

Hot-spot and underperforming panel detection from thermal imagery—prioritizing maintenance by revenue loss to maximize solar output.

• •Production recovery ↑ 2-8%
• •Anomaly detection ↑ 94% F1
• •Review time ↓ 70%

Methane and flare anomaly detection from thermal/OGI sensors—automated regulatory reporting with alert timestamps, GPS, and audit trails.

• •Leak detection time ↓ 60%
• •Regulatory compliance ↑ 100%
• •False positives ↓ 40-50%

Nightly cycle counts and OSA/shrink visibility using drone/AMR scanning—no aisle closures.

• •Faster Cycle Counts ↑ 40%
• •Inventory Accuracy ↑ 99.2%
• •Stock Reconciliation ↓ < 5 min

Detect out-of-stocks and planogram drift in-aisle; push tasks to devices and measure recovery time.

• •OSA ↑ 2–6 pp
• •Task recovery time ↓ 20–40%
• •Conversion lift ↑ 3–5%

Predict queues, alert lane opens, and cut walk-offs with staffing hooks.

• •Wait time ↓ 20–40%
• •Walk-offs ↓ 15–30%
• •Prediction accuracy ↑ 85–90%

Reduce door dwell and improve trailer turns with camera+OCR and a live yard map.

• •Dwell Time Reduction ↓ 15-30%
• •Faster Trailer Turns ↑ 2x
• •Annual Detention Savings ↑ $50K+