AI & Data
From data to decisions.
We build everything from the pipelines that collect field data to vision AI and predictive models, and connect the results to dashboards and automated control.
From collecting data to acting on it.
Field AI usually stalls on data. So we also build the stretch that collects the data and the stretch that puts the results to work on site.
Data pipelines
Collect and store sensor and video data in real time, with time-series databases, object storage and MQTT/RTSP streaming.
Vision AI
Recognize people and objects in video and segment them at the pixel level. We train and deploy YOLO- and SAM2-based models for real site conditions.
Anomaly detection & forecasting
Find patterns in equipment and environmental data that differ from normal, and forecast future states from accumulated data.
Automated decisions
Results are delivered through dashboards and APIs. Connect them to control logic and equipment responds to the data on its own. Controlling HVAC from occupant recognition is one example.
We also decide where the model runs.
Training and inference environments are chosen by how far your data is allowed to travel.
Run on our GPU servers
Training and inference run on GPU servers in our own data center, with no hardware to bring in.
Deployed on-premises
When data can't leave the building, we deploy to your own servers, and can build AI systems such as DGX Spark from the ground up.
Validated in research and in the field.
With EAN Technology and Stanford, we built a system that recognizes occupants and controls HVAC accordingly. The results were published at IEEE AIoT 2025.
Start with the stretch you need.
Hand us one part or the whole thing. Tell us what's happening on site and we'll suggest the right approach.