Predictim WIOP
Predictim WIOP is an enterprise water resource management and decision support platform, developed through European research consortia and validated across multi-sector deployment environments. It applies AI-driven demand forecasting and mathematical optimisation to allocate water resources across competing municipal, agricultural, and industrial sectors — delivering allocation decisions in real time while maintaining network pressure stability and surfacing leakage anomalies.
* Design targets, not measured client results.
What this platform does
Each capability is a deployed module — not a feature on a roadmap. Engagements typically begin with a 4-week scoping exercise to confirm fit against your operational data and constraints.
Integrated catchment & basin GIS mapping
Displays river basins, aquifers, storage reservoirs, and multi-sector off-take points on an interactive map, giving managers real-time spatial awareness of water availability.
Multi-sector water demand forecasting
Uses neural networks to forecast water consumption 48 hours ahead across agricultural irrigation, industrial zones, and urban neighborhoods, adjusting for weather patterns.
Optimal allocation & shortage arbitrage
Applies linear and integer programming to compute optimal allocation plans under scarcity, balancing ecological flows with social and economic utility targets.
Reservoir & pump network orchestration
Coordinates high-capacity pump schedules and reservoir releases to minimize electricity costs under dynamic grid tariffs, securing target safety volumes.
Leakage & non-revenue water analytics
Monitors flow discrepancies using statistical timeseries models, highlighting water losses, pressure drops, and sensor calibration errors to reduce utility wastage.
How a pilot works
- Timeline
- 4-week scoping
- You provide
- A sample of your operational data
- We provide
- A fit assessment on your data and a pilot proposal
- Cost
- Quoted after a free scoping call
Ready to deploy Predictim WIOP?
Request API access, or talk to our engineering team about integrating this into your existing operations.
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