- Specialization
- Not classified
- Business
- Software Applications
- Market
- Real Estate
- Ecosystem
- Applications
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
- Not classified
- Market
- Real Estate
- Customers
- Enterprises
- Delivery models
- Hardware, Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Pre Seed
- Reported funding amount
- Not classified
About
AquaShield builds a water-damage prevention system for owners and operators of large real-estate portfolios. It combines strategically placed non-invasive sensors with machine-learning algorithms that detect leaks in noisy water-consumption data and localize them down to the pipe segment, enabling targeted repairs before major damage occurs.
Market
AquaShield competes in building water-risk management and PropTech, specifically AI-enabled leak detection and prevention for commercial and residential real-estate portfolios. It positions around portfolio-wide protection with rapid, zero-disruption deployment: sensors mount to existing pipes without cutting, retrofits, or downtime, while models learn normal flow and flag anomalies in real time. Relative to adjacent offerings centered on AI/IoT detection, automatic shutoff, dashboards, or usage monitoring, AquaShield differentiates through non-invasive deployment and source localization to the faulty pipe segment, aiming to turn major remediation jobs into targeted repairs.
Large commercial and residential real-estate portfolio owners and operators, especially property managers, facilities teams, and other buyers responsible for multi-building asset protection and water-damage risk.
At a Glance
Problem
AquaShield addresses the largely invisible risk of water damage in large real-estate portfolios. Water damage is described as real estate’s biggest preventable loss—larger than fire and theft combined—with portfolios losing up to hundreds of millions of dollars annually. The core operational problem is reactive maintenance: leaks hidden behind drywall, concrete, or other inaccessible infrastructure are often discovered only after tenant complaints, visible damage, or abnormal water bills.
The killer use case is catching a concealed leak early enough to avoid a major remediation event. AquaShield says that a $100,000-plus remediation job can instead become a targeted repair costing less than $2,000, while helping owners protect entire portfolios for a fraction of the cost of one major claim.
Product / Service
AquaShield is a portfolio-oriented water-leak detection and prevention system combining non-invasive pipe sensors with machine-learning software. The sensors install directly onto existing pipes in minutes, without cutting pipes, retrofitting buildings, or creating downtime. The apparent delivery model is a demo-led deployment designed to scale across an owner’s buildings rather than a standalone consumer device.
The system learns each building’s normal flow patterns, flags anomalies in real time, and uses noisy water-consumption data to identify and localize a leak down to the relevant pipe segment. This gives property and facilities teams actionable prioritization: they can inspect the likely source before damage escalates, replacing broad reactive investigation with earlier, targeted intervention and portfolio-wide visibility.
Market
AquaShield competes in commercial real-estate water-leak detection and broader building water-intelligence software, at the intersection of physical infrastructure monitoring and time-series machine learning. Direct or adjacent competitors include Leak Defense, which offers commercial flow monitoring, dashboards, automatic shutoff, and point-leak detection; Sensor Industries, which targets multifamily, hospitality, senior living, and other commercial portfolios; and LAIIER, which provides commercial leak alerts and analytics. Phyn is a more home-oriented adjacent alternative, using pressure monitoring and automatic shutoff.
The company is early but has meaningful validation signals: Y Combinator lists it as an active Spring 2026 company, and AquaShield says it began with an MIT Facilities deployment and is working with one of the world’s largest residential portfolios. EPFL also describes a live MIT pilot and a German real-estate pilot. Public materials do not disclose revenue, pricing, or paying-customer metrics, so AquaShield is best characterized as an early commercial and pilot-stage company; its public evidence does not establish whether it is formally pre-revenue.
Founders & Leadership
Funding History
Y Combinator
Recent News
The YC Tier List profiled AquaShield as a startup protecting large real-estate portfolios against water damage, highlighting its AI/IoT approach to detecting leaks.
EPFL covered AquaShield's AI-based system for detecting and localizing leaks in building water networks. The article described a live MIT Facilities pilot, EPFL CEAT Lab support, an EPFL AI Launchpad grant, and a planned German real-estate pilot.
This company profile described AquaShield's non-invasive, AI-driven leak-detection and localization system, using clamp-on flow sensors, anomaly-detection models, cloud processing, and building-management-system API integration.
EPFL identified AquaShield as one of six projects selected for new Launchpad funding. The announcement described its real-time leak-detection system, non-invasive water-flow sensors, prior MIT collaboration, and forthcoming German pilot.
Active Roles
1Business Model
AquaShield appears to use a B2B, demo-led sales model, selling building- and portfolio-level water-monitoring deployments to commercial and residential real-estate operators. Public sources do not disclose exact pricing or whether fees are subscription-based, upfront, or a combination; the stated value proposition is protection at a fraction of the cost of a major water-damage claim.