Industry · Manufacturing
Turn sensor data, drawings and quality records into uptime and yield
Plants already generate the data AI needs: machine logs, inspection images, maintenance records, SOPs and drawings. We connect it, build the models and put the results in front of operators and planners inside the tools they already use.
- Regulatory context
- ISO 9001 and IATF 16949 quality systems, IEC 62443 for OT security, customer audit requirements
- Data you already have
- SCADA and MES, CMMS, inspection images, ERP, SOPs and drawings
- Start with
- 8-week predictive maintenance pilot on one critical line
Talk about a plant pilot
Predictive maintenance
Failure prediction and remaining-useful-life models on sensor and maintenance data, with work orders raised in your CMMS before the breakdown.
- Works with existing historians
- Alerts tuned to planner capacity
- Measured in avoided downtime
Visual quality control
Camera-based defect detection trained on your parts and your defects, deployed at the line with operator feedback loops.
- Edge or on-premises inference
- Defect libraries you own
- Escape-rate reporting
Production planning & scheduling
Optimisation and forecasting that balance orders, capacity, changeovers and material availability, with planners in control of the final schedule.
- Constraint-based scheduling
- Demand and material forecasts
- What-if scenarios for planners
Technician copilots on SOPs & manuals
Assistants that answer from your SOPs, manuals and past work orders, on the shop floor, in the technician's language.
- Retrieval over manuals and drawings
- Voice and mobile access
- Feedback into document updates