Our mission
Make continuous, predictive monitoring affordable for every river.
Only a small share of England’s rivers are in good health, and most pollution is found after the damage is done. Continuous monitoring is expanding fast, but the sensors being installed measure the river’s vital signs rather than the pollutants behind them.
We build software that turns those signals into pollutant estimates and forecasts, so the people responsible for the water can act before a problem arrives rather than report on it afterwards.
What we believe
- Evidence first. Every estimate is checked against laboratory samples, and we report accuracy honestly, including limitations.
- Use what exists. Rivers already have sensors and open data. The fastest route to better monitoring is to get more from them.
- Open to partners. We work with rivers trusts, researchers and sensor suppliers rather than around them.
Founder
Grounded in the science of the water itself.
Soraya Belhadj
Founder & CEO · Environmental and process engineer
Soraya holds a BEng and an MSc in Environmental Engineering and is undertaking doctoral research in Process Engineering. At university she taught the disciplines EcoFlow Predict is built on: electrochemistry and physical methods of analysis (how water-quality sensors work), fluid mechanics (how pollution moves) and chemical kinetics (how pollutants behave).
She leads the product and the research programme, building the core technology in-house with the company’s engineering team.
Team
A focused team, growing with our clients.
We are building a small UK team around the platform: machine-learning and software engineering first, then data integration, user experience and regulatory reporting as clients come on board. All core development is done in-house.
Interested in joining? Write to ceo@ecoflowpredict.co.uk.
Advisory board
Independent expertise.
We are forming an advisory board to review our methods and guide our work with the water sector, bringing together:
- a UK water-quality or hydrology scientist
- a machine-learning specialist with environmental time-series experience
- a senior figure from the water industry or its regulators
If you would like to be considered, we would be glad to hear from you.