AI models
AI models on the Sensorica Data Platform
The Elements Community brings together AI and machine-learning models from Elements Works and Mathclick, all running on the Sensorica Data Platform — the same platform your netH₂O buoys and application packs report to. The data you collect becomes forecasts, alerts and maps you can act on.
Each model is trained on real-world data and built to run in production with minimal hardware. On the platform they sit next to your live netH₂O measurements, so water-quality, spatial and network signals are analysed together, not in isolation.
The model portfolio
Forecasting for netH₂O buoys
From the dissolved-oxygen, chlorophyll-a and other measurements your packs collect, the platform learns the rhythm of your site and forecasts the pre-dawn oxygen minima and bloom risk before they become a problem — the difference between an alert and a loss.
NETWORKleak
Mathclick's NETWORKleak reconstructs the flows in a sewer network and separates inflow and infiltration from expected flow, segment by segment — pinpointing losses from only a few measurement points.
AIM4WAVES
From Elements Works with Politecnico di Bari: AI-enhanced high-definition wave forecasting for the North Adriatic — CFD-trained, validated against Copernicus, and live on the platform (pre-release, for research use).
The models share one home: low implementation cost, rapid deployment, minimal hardware, and a single account. Explore each model from the menu, or see how they pair with the buoys and packs in the netH₂O collection.
Deploying netH₂O buoys at your site? Your measurements flow straight into these models on the Sensorica Data Platform — see the netH₂O family or contact us to set up your deployment.