Machine Learning meets Drainage Design

Building more resilient and sustainable water systems for all, with help from artificial intelligence.

Machine Learning Deluge

Predict flood maps quickly and accurately when applying water on the site surface, all while leveraging new built-in artificial intelligence.

"Machine Learning Deluge runs without lengthy simulations and provides native intelligence to engineers, enabling their models to be more responsive and efficient to real world conditions."

– Samer Muhandes, Product Manager, InfoDrainage

25X

Faster simulation time compared to traditional deluge calculation

10,000+

Number of simulations Machine Learning Deluge was trained on for model accuracy

eBook: Designing drainage for a solar farm in the UK with strict requirements

Tasked with strict drainage compliance requirements for a solar panel farm in the UK countryside, Project Centre used machine learning deluge to streamline design workflows and achieve the results they needed.

eBook: Designing drainage for a solar farm in the UK with strict requirements Feature Image
Project Centre: Designing drainage for a solar farm with Machine Learning Deluge Feature Image

Project Centre: Designing drainage for a solar farm with Machine Learning Deluge

Project Centre leveraged the Machine Learning Deluge Tool to determine stormwater controls placement on a large 42-hectare solar farm in the United Kingdom.

Generating responsive flood maps with the Machine Learning Deluge Tool

InfoDrainage 2025 delivers additional functionality to Machine Learning Deluge, allowing users to stamp ponds and swales directly onto the surface and generate updated flood maps within the deluge analysis.

Generating responsive flood maps with the Machine Learning Deluge Tool Feature Image