Sentinex – Predictive Maintenance & Quality AI for Factories
Predictive maintenance & quality AI for factories
AI-powered factory intelligence platform — ML sensor models predict bearing, motor, and spindle failures 48–72 hours ahead, computer-vision QC catches defects at line speed, real-time OEE per machine and plant, and predictive work orders auto-scheduled into planned downtime with parts ordered. Built in 16 weeks.
Critical equipment fails without warning, halting production for hours. Manual visual QA misses defects and slows the line. And OEE data is scattered across PLCs, SCADA, and spreadsheets with no plant-wide view. GroveTech built Sentinex in 16 weeks: an AI factory intelligence platform that ingests sensor streams to predict failures 48–72 hours early, runs computer-vision QC at line speed, surfaces real-time OEE per machine and plant, and auto-schedules predictive work orders into planned downtime with technicians assigned and parts ordered.
Catch the failure before the line stops. Catch the defect before it ships.
The Problem
- Critical equipment fails without warning, halting production for hours.
- Manual visual QA misses surface defects and slows the line.
- OEE data scattered across PLCs, SCADA, and spreadsheets — no plant-wide view.
- Maintenance is reactive: late nights, overtime, missed customer deliveries.
Our Solution
- Sensor ingestion + ML predicts failures 48–72 hours before they happen.
- Computer-vision QC on the line catches scratches, dents, and assembly defects instantly.
- Real-time OEE dashboard per machine, line, and plant.
- Maintenance scheduling with automatic parts ordering and technician assignment.
Built on a solid, integration-first foundation.
Next.js
Node.js
FastAPI
TensorFlow
InfluxDB
PostgreSQL
Kafka
IoT Cloud
DockerA look inside the Sentinex platform.
4 core workflows — built to run automatically, end to end.
Predictive Maintenance
Sensor data trained models predict bearing, motor, and spindle failures 48–72 hours ahead — maintenance teams plan, not scramble.
Vision Quality Inspection
Camera + ML on the line catches scratches, dents, and assembly defects instantly — defective parts never reach packing.
Real-time OEE Dashboard
Availability × Performance × Quality per machine, every shift — plant managers see exactly where each percentage point of OEE is leaking.
Maintenance Scheduler
Predictive and PM work orders auto-scheduled into planned downtime, technicians assigned, parts ordered — execution becomes routine.
Numbers from post-launch.
What's coming next on the roadmap.
What our client had to say.
Unplanned downtime used to cost us six figures a month and put us behind on customer commitments. Sentinex moved us from reactive to predictive — bearing failures we used to chase at 2 a.m. now get fixed during planned maintenance windows. We're seeing a 32% reduction in unplanned stops and roughly six points of OEE recovered across two plants.
Erik Klein
VP Operations · [Mid-market manufacturer under NDA · DE]
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