Explore Hydro-SaaS
Everything you can open, in one place
The demos run on simulated data from fictional factories, so you can click through every screen. The real-data cases show the KAI engine on real, openly licensed networks, with the results it actually achieved. No sign-in needed for either.
Every real-data case is also published as open, step-by-step notebooks with its data: KAI case studies on GitHub ↗
Demo park
SimulatedThe park operator's view of a fictional industrial park: six factories, bulk supply, two boreholes, a treatment plant and a wetland.
Park overview
What needs attention, tenants and what each one shares, what leaves the park.
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Water balance
Where the water comes from, who uses it and where it ends up (Sankey diagram).
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Pollutant loads
Flow × concentration at every outlet, and which factory caused a spike.
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Demand & boreholes
10-day demand forecast from the weather, and borehole drawdown.
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Factory demo
SimulatedWhat one tenant factory sees: its own outlets checked against the NEMA 2020 effluent standards.
Factory compliance
Compliance score, open alerts and every outlet at a glance.
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Outlet A · metal finishing
One outlet in detail: trends, limits, early warnings.
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Outlet B · battery recycling
Lead and pH at a battery recycling yard.
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Outlet C · beverage bottling
Organic load (COD, BOD) from a bottling line.
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Real-data cases
Real dataThe KAI engine tested on real, openly licensed networks and data, with the results it actually achieved.
Source tracing on a real sewer network
Bellinge, Odense (Denmark): which manhole did the pollution come from, and where sensors help most.
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Borehole models on real aquifer data
Dutch pumping tests and a 55-year water-level record: aquifer properties, a MODFLOW 6 model, pumping vs weather.
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BOD soft sensor on a real treatment plant
Effluent BOD5 on the day from a turbidity probe, checked against 504 real lab results (urban plant, 1990–91).
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Your workspace
Sign inYour own park or factory, with your data. Free tier while in beta.