SOLUTIONS · MANUFACTURING
Predictive maintenance, solved end-to-end
Real plant-floor problems worked start to finish on the sensor data you already collect — temperature, speed, torque, and tool wear. Each solution ships a live model and a shareable dashboard, with your data isolated to your account.
Case studies
Solutions your teams can ship
Each one is a working example — the problem, the trained model, the questions you can ask it in plain English, and the dashboard. Filter by product track or ML task.
Track
ML task
On the roadmap
More manufacturing solutions in progress
Quality-defect prediction
Flag production runs likely to yield defects from line, shift, supplier batch, and operator signals — before the batch is scrapped.
Remaining useful life
Estimate how many operating hours a component has left, so replacement is scheduled instead of forced.
Anomalous sensor behaviour
Surface machines drifting away from their own normal operating envelope, without needing a labelled failure history.
Throughput and yield forecasting
Forecast line output and yield to plan staffing, materials, and delivery commitments.
Want one of these worked on your data first? Tell us what you're solving →
Turn an unplanned stop into a planned one
Point Langsat at your sensor history, pick the failure column, and train — no feature engineering and no infrastructure to run.