StormHarvester provides AI-driven analytics for wastewater utilities, utilizing machine learning to detect blockages and manage inflow and infiltration in sewer systems. This technology reduces pollution and flooding events, enhancing operational efficiency and lowering maintenance costs for utilities worldwide.
Funding
$10.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ETYEFounders
Product
Problem
Wastewater utilities face challenges in efficiently managing sewer systems, including the detection of blockages, management of inflow and infiltration (I&I), and the reduction of pollution and flooding events. Traditional methods often lack the real-time insights needed to proactively address these issues, leading to increased operational costs and environmental impact.
Solution
StormHarvester provides a SaaS platform leveraging machine learning to deliver operational and asset insights for wastewater networks. The platform analyzes data from existing wastewater sensors, combined with hyperlocal rainfall data, to accurately detect blockages and predict potential pollution events. For stormwater management, StormHarvester's technology turns rainwater harvesting tanks into active attenuation tanks, optimizing water reuse and reducing stormwater discharge. By providing predictive sewer level thresholds and identifying the underlying causes of sewer overflows, StormHarvester enables utilities to transition from reactive to proactive control, improving network performance and reducing environmental impact.
Target Audience
StormHarvester primarily targets wastewater utilities and stormwater management companies seeking to improve operational efficiency, reduce pollution events, and optimize their existing infrastructure.
Features
- AI-powered blockage detection using machine learning algorithms and real-time sensor data
- Smart Flow Predictor for anticipating sewer overflows and optimizing network capacity
- Inflow and Infiltration (I&I) detection to identify and address sources of unwanted water entering the sewer system
- Active Attenuation system to optimize rainwater harvesting and reduce stormwater discharge
- Network Visualization module to identify locations with I&I at network scale
- Integration with existing wastewater sensors and telemetry systems
- Predictive sewer level thresholds adjusted in real-time based on rainfall and network conditions