Foresight provides a cloud‑native platform that aggregates and normalizes water‑utility data from SCADA, GIS, ERP and IoT sources into an AI‑ready repository. Built‑in machine‑learning applications predict leak locations, rank pipe‑failure risk, and simulate critical‑mains performance, delivering actionable insights via dashboards and APIs. The solution enables utilities to prioritize field crews, optimize maintenance planning, and reduce water loss.
Funding
Funding not disclosed
Founders
Product
Problem
Water utilities often manage fragmented datasets from legacy SCADA, GIS, and maintenance systems, making it difficult to obtain a unified view of network health. This data silos hinder timely detection of leaks and pipe failures, leading to excess water loss and suboptimal asset investment decisions.
Solution
Foresight delivers a secure, cloud-native platform that aggregates and normalizes heterogeneous water‑network data into an AI‑ready repository. Built‑in predictive applications—Leak Response, Failure Indicator, and Ground Truth—apply machine‑learning models to locate leaks, forecast pipe‑failure risk, and simulate critical‑mains integrity under varied scenarios. The platform automatically cleanses incoming data, enforces enterprise‑grade encryption, and presents actionable insights through configurable dashboards and API endpoints. Utilities can thus prioritize field crews, optimize survey routes, and generate data‑driven capital‑planning schemes without extensive manual analysis. By centralizing information and embedding advanced analytics, Foresight enables measurable reductions in leakage and more resilient asset management.
Target Audience
Primary customers are municipal water utilities and regional water‑service providers that manage large distribution and wastewater networks, particularly asset‑management teams, leakage‑response crews, and infrastructure planners.
Features
- Unified data ingestion engine that connects to SCADA, GIS, ERP, and IoT sensors, auto‑cleansing and structuring data for machine‑learning pipelines
- Enterprise‑grade security framework with end‑to‑end encryption, role‑based access control, and audit logging to meet regulatory compliance
- Leak Response AI model predicts high‑probability leak zones and generates optimized field‑crew routing maps in real time
- Failure Indicator applies probabilistic risk modeling to rank pipe segments by failure likelihood, supporting scenario‑based investment planning
- Ground Truth digital twin creates a dynamic, physics‑informed simulation of critical mains, enabling what‑if analyses for pressure, flow, and material degradation
- RESTful and GraphQL APIs for seamless integration with existing asset‑management systems and GIS platforms
- Customizable analytics dashboards with KPI widgets, alert thresholds, and exportable reports in industry‑standard formats (e.g., ISO 55000)