Defect analysis
Defect analysis and quality prediction
Models learn from your own quality and process history to flag likely defects early and point to their cause.
DATA ANALYTICS AND AI
Put connected data
to work.
Practical ML and AI models, tailored to each company and built on a common foundation for chemicals and materials, learn from your own process, equipment and quality history.
THE DATA FLYWHEEL
Where AI drives
continuous improvement.
Every customer wants a data flywheel: a loop in which connected data keeps improving quality, productivity, process and formulation, and AI learns from every cycle.
- 01
Quality improvement
AI-powered quality prediction and traceability. Fewer defects and less rework, with product quality improving continuously.
- 02
Productivity improvement
Data insights support decisions, lift equipment utilisation and workforce efficiency, and sustain productivity growth.
- 03
Process optimisation
AI-enabled automation shortens cycle times, cuts cost and keeps optimising the process.
- 04
Formulation innovation
Data-driven formulation R&D speeds up process innovation and validation, and strengthens product competitiveness.
MES, WMS and LIMS feed one AI core.
FROM DATA TO DECISIONS
One pipeline,
tailored to each plant.
Practical models are built on a common foundation developed for chemicals and materials, then trained on your own process, equipment and quality history.
- OT data
- Cleaning & labeling
- Machine learning
- Model training
- Operation insights
WHAT IT DOES
Four places to start.
Predictive maintenance
Equipment early warning
Equipment data is watched for drift, so teams are warned before a fault stops the line.
Yield improvement
Yield prediction and process optimisation
Connect formulation, feeding, process and quality results, then test changes against measured outcomes.
Intelligent sorting
Real-time recommendations at the edge
Multi-sensor fusion at the edge turns what the forklift sees into guidance on the spot, such as where a pallet should be stored.
IN PRACTICE
AI on top of connected data.
Compound Semiconductor
Founder-led innovators
Compound Semiconductor
Materials · Wafers
Diamond thermal materials for more powerful chips
CM Venture portfolio company ↗EXPLORE YOUR OPERATION
Where could better
data help your plant?
Tell us about your warehouse, your lines or your quality challenges.
Email info@thingple.com ↗