Data science for the water industry
Water data is unforgiving: noisy sensors, sparse records, real consequences. Opotus brings a research-grade approach shaped by years of academic and industry work in the water sector.
What we offer
Hydrological and environmental analysis
Rainfall, flow and quality data analysed with methods that respect their physical meaning, not just their statistics.
Forecasting and uncertainty
Demand, rainfall and flow forecasting with honest uncertainty estimates, so decisions are made knowing how much to trust the numbers.
Asset and network analytics
Making sense of asset registers, telemetry and network data: condition, performance, leakage and investment insight.
Research and innovation support
Support for R&D projects, bids and publications, bridging the gap between academic methods and operational reality.
Grounded in research, tested in industry
Opotus is led by Francesca Cecinati, whose peer-reviewed research on rainfall data and uncertainty in the water sector has been published in international journals, and who has spent years applying those methods inside the industry itself.
- Peer-reviewed publications in international water and environmental journals
- Years of applied experience with water utilities and sector consultancies
- Specialist expertise in rainfall data, uncertainty and hydrological modelling
Working on a water data problem?
From a single awkward dataset to a full research programme, we are happy to talk it through.
Get in touch