Case Study
This case study focuses on improving Sustainable Drainage Systems (SuDS) planning and design through AI-driven MultiGIS data integration.
Building Smarter Infrastructure with AI-Enhanced SuDS
Use Case 1 – Sustainable Drainage Systems (SuDS)
Our pilot in Chelmsford focuses on embedding AI into urban drainage systems planning. By integrating local geological, rainfall, and infrastructure data, our model supports real-time decision-making and future-proof design strategies
- Predictive flood risk and drainage modeling
- Integration with local authorities for co-development
- Automation reduces planning errors and enhances response
Safeguarding Biodiversity Through Predictive Ecosystem Mapping
Use Case 2 – Invasive Crayfish Monitoring
Our second pilot addresses the growing threat of invasive crayfish. The World of Crayfish (WoC™) platform provides researchers and policymakers with tools for tracking, predicting, and mitigating species spread through a secure and intelligent interface.
- AI models for habitat suitability and invasion risk
- Dataset comparison with the CheckOVER tool
- Real-time insights for NGOs and conservationists