platoseed
AI water leak detection for buildings
AquaShield protects large real estate portfolios against water damage (losses of up to hundreds of millions per year).
AquaShield provides AI-driven water leak detection for large buildings, offering real-time visibility into hidden water networks to detect anomalies and prevent costly leaks. It uses non-invasive sensors installed on existing pipes and learns building water patterns to flag issues early.
Non-invasive sensors install directly on existing pipes in minutes without pipe cutting or downtime. The system performs real-time monitoring, learns a building's normal water flow patterns, and flags anomalies as they happen to prioritize inspections and prevent damage. It emphasizes full visibility of hidden water networks and aims to deploy across portfolios with minimal disruption.
Who itβs for: Large commercial and residential operators with multiple buildings and portfolios seeking proactive leak detection and cost reduction from water-related damages.
mentions YC backing; emphasis on deployment across building portfolios and demo bookings
Co-founder & CEO @ AquaShield | Prev. Robotics Researcher @ MIT
Co-founder & CTO @ AquaShield | Prev Robotics Researcher @ Harvard
Protect every building in your portfolio at a fraction of one major claim
AquaShield uses non-invasive sensors and machine learning to detect water leaks in real estate portfolios and localize the source to specific pipe segments. The system aims to reduce remediation costs from hundreds of thousands to under $2,000 per incident.
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