AI & ML Models
Models built for the shop floor.
We don't retrofit general-purpose AI to industry. Every model here is trained for a specific industrial job: reading machine signals, scoring asset health, reasoning about faults, or answering engineering questions from your own documentation.
01/Machine learning
Machine Learning models
The Vexron ML series turns raw sensor data into decisions: detecting faults, scoring condition, and reasoning about what to do next.
VMI: Vexron Machine Intelligence
Predictive models that read vibration, temperature and power signatures to flag machine faults before they cause a stoppage.
Vexron Machine Intelligence
Predictive fault detection for rotating machinery.Detects bearing wear, misalignment and imbalance from vibration and temperature data, with early failure alerts.
- Fans, pumps & motors
- Gearboxes & drivetrains
- Condition-based maintenance
Vexron Machine Intelligence
Multi-asset prognostics and remaining-useful-life estimates.The next VMI model. It extends detection to remaining-useful-life estimation across multiple coupled assets.
- Maintenance planning
- Spare-parts forecasting
- Process-line risk
VCI: Vexron Condition Intelligence
Condition-scoring models that turn continuous sensor streams into a single, trendable health index per asset.
VMR: Vexron Machine Reasoning
Diagnostic reasoning models that connect a detected anomaly to its likely root cause and the next maintenance action.
02/Language
Language models
Language models tuned for engineering work, grounded in your documentation, not the open internet.
EVA: Engineering Virtual Assistant
A domain language model that answers factory and engineering questions from your manuals, standards and maintenance history.
Put a model to work
Tell us the asset, we'll tell you the model.
Whether it's a critical fan you can't afford to lose or a documentation black hole slowing your engineers down, we'll map the right model to the problem and be honest if one isn't ready yet.
- Trained on industrial data
- Pricing discussed on a call