Quality and uptime still ride on manual checks
Most plants still lean on human spot-checks and reactive maintenance, so defects slip through and unplanned downtime quietly eats margin. Inspection images, machine telemetry and MES records pile up across disconnected systems, yet little of it reaches the line in time to change the next unit or prevent the next stoppage.
What we build
- Automated visual defect detection
- Computer-vision models inspect every unit on the line for scratches, misalignment, missing components and surface flaws, flagging defects in real time instead of relying on sampled manual checks.
- Predictive maintenance
- Models learn the normal signatures of your equipment from sensor and telemetry data and warn of bearing wear, overheating or drift before a failure stops the line.
- Line monitoring & throughput
- Vision and object tracking watch the line end to end to count output, detect bottlenecks and cycle-time drift, and surface what is slowing a shift while it is still happening.
- Traceability & label intelligence
- OCR and document AI read serial numbers, batch codes and labels to automate traceability, incoming inspection and the paperwork that moves parts through the supply chain.