We train domain-specific models on your data, for your task. They're smaller, faster and more accurate than general-purpose AI, and they run where you need them.
These in-house models show what our approach delivers. Both work on drone and fixed-camera footage, and we can adapt them to new environments and object types.
Illustrative detection overlay on drone footage
It identifies and labels objects anywhere in the camera's field of view, in real time. It turns raw video into structured data your systems can act on.
Illustrative detection overlay on drone footage
It locks onto any moving object and follows it continuously across the scene, keeping its identity even through motion and clutter. It's built for monitoring work where losing the target isn't an option.
The same discipline works for language, documents and sensor data. If your field has its own vocabulary, rules or edge cases, an expert model will handle them better.
Detection, tracking, inspection and counting for security, industry and logistics.
Fine-tuned LLMs that know your terminology, formats and policies.
Anomaly detection and forecasting on time-series and machine data.
We agree on the exact task, the success metric and the conditions the model must handle.
We collect, clean and annotate a dataset that reflects your real world, edge cases included.
We train or fine-tune, then test against held-out data until the numbers meet the target.
We ship the model to your servers, edge devices or private cloud, then monitor and improve it.
That's usually a sign it needs an expert model. Tell us about it.