Production monitoring
Aggregate machine data, OEE, downtime events, and shift logs into a real-time view that flags bottlenecks and throughput risks before they impact the schedule.
We build internal AI products for manufacturers — from automotive and robotics to industrial automation and components. Turn production data, supply chain signals, quality records, and maintenance logs into one operating workflow that surfaces problems before they stop the line.
We begin with the operating reality, then design the product around the people, decisions, rules, and evidence already in the work.
Aggregate machine data, OEE, downtime events, and shift logs into a real-time view that flags bottlenecks and throughput risks before they impact the schedule.
Correlate defect data, inspection records, supplier batches, and machine conditions to identify root causes and reduce scrap and rework.
Analyze equipment sensor data, service history, and failure patterns to schedule maintenance before unplanned downtime occurs.
Connect supplier lead times, inventory levels, production schedules, and demand forecasts to predict shortages and optimize reorder points.
Match skills, certifications, and availability to shift requirements — and surface training gaps before they create quality or safety risks.
Capture operator knowledge, kaizen findings, and process changes in an AI system that makes institutional learning available across every shift and every plant.
Not a standard product you have to work around. A focused operating layer that can connect the tools and data you already use.
Real-time dashboard across every line, shift, and plant — OEE, throughput, downtime reasons, and exception alerts in one view.
AI-powered analysis that connects defect data to machine conditions, supplier batches, and operator shifts to surface the most likely cause.
Sensor data and service history analyzed continuously to predict failures and recommend intervention before unplanned downtime.
Lead time, inventory, and demand signals unified to forecast shortages weeks ahead and recommend mitigation actions.
Skills-based shift assignment with certification tracking, training gap alerts, and overtime optimization.
Operator expertise, troubleshooting playbooks, and process improvements captured in an AI system accessible to every worker on every shift.
These are deployment results and study findings, not forecasts for your business. We use them to establish plausibility, then model your ROI from your own volume, time, labor cost, error rate, and throughput.
Predictive maintenance from sensor data and failure pattern analysis across automotive and robotics production lines.
McKinsey manufacturing report ↗Reduced scrap, rework, and downtime at mid-market manufacturing scale through AI-driven quality and maintenance.
Evergence deploymentsReal-time bottleneck detection and automated shift coordination increases overall equipment effectiveness.
BCG manufacturing study ↗AI correlates defects to machine conditions, supplier batches, and operator shifts in minutes instead of days.
Evergence deploymentsPROME is our AI platform built specifically for automotive and robotics manufacturers. It connects production data, quality systems, and supply chain signals into a unified intelligence layer that helps plant teams make faster, better decisions.
Visit PROME.ai →We’ll show you the internal AI product that can simplify it.
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