Predictive and vision AI for industrial operations
Your sensors, machines, cameras and records already hold the signals that predict failures, defects and demand. ColibriCode turns that data into production AI models that warn your teams early, inspect every unit, and plan with better numbers.
What we build
Predictive maintenance
Failure-risk scoring from sensor, telemetry and maintenance history.
Anomaly detection
Early alerts on unusual behavior in equipment, processes, transactions or networks.
Demand and capacity forecasting
For production, inventory, energy load and staffing.
Visual quality inspection
Computer vision that checks every product, part or weld on the line.
Document and drawing intelligence
Extraction from technical drawings, inspection reports and logbooks.
How we deliver
- 1
Data assessment
What you collect, how clean it is, and which prediction pays off most.
- 2
Pilot model
Trained on historical data, measured against your current process.
- 3
Production rollout
Dashboards, alerts and integration into maintenance or MES systems.
- 4
Monitoring and retraining
As equipment, products and conditions change.
Where it runs
In the cloud, on-premises or at the edge near your equipment when latency or connectivity requires it.
Frequently asked questions
Do we need years of data?
Not always. Many projects start with months of sensor data plus maintenance logs; the assessment tells you what is possible.
Can this work with our existing systems?
Yes. We integrate with historians, SCADA exports, MES, ERP and maintenance software through secure APIs.