Aqua Alarm offers an AI-powered platform for water utilities to monitor microbial water quality in real-time. Its integrated sensors and analytics engine provide actionable insights and early warnings, enabling proactive risk management and improved operational resilience.
Funding
$138K 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.
Founders
Product
Problem
Water utilities face challenges with aging infrastructure, fragmented data, and reactive monitoring methods that hinder the ability to ensure safe and cost-effective water supply. Stricter compliance standards and amplified risks from climate change necessitate smarter, data-driven solutions for real-time monitoring and operational resilience.
Solution
Aqua Alarm provides an AI-powered water quality management platform that integrates proprietary hardware sensors with an analytics engine to deliver real-time microbial readings and actionable insights. This solution consolidates siloed operational data with sensor readings, enabling utilities to understand the root causes of issues and predict potential risks. The platform's machine learning models provide early-warning systems and event management tools, allowing for proactive responses to potential problems and improved understanding of contamination propagation. By offering a no-CapEx model, Aqua Alarm simplifies implementation and reduces financial risk for utilities seeking to optimize operations and enhance water safety.
Target Audience
The primary customers are water utilities and facility managers operating drinking and grey water systems that require enhanced real-time monitoring, compliance assurance, and operational optimization.
Features
- Reagent-free, low-cost microbial sensors capable of two readings per second, deployed within water infrastructure.
- Data transmission via 5G to a cloud-based analytics platform for real-time and historical monitoring.
- Autosampler units that capture samples during detected anomalies for subsequent laboratory analysis.
- AI-driven analytics engine that processes real-time sensor data alongside operational and contextual information.
- Machine learning models designed for pattern detection, risk prediction, and early-warning system generation.
- Web-based dashboard providing users with access to water quality trends, insights, and recommendations.
- End-to-end encryption (TLS 1.2), secure AWS hosting, and strict access controls for data protection.
- Subscription-based pricing model with success fees tied to customer value creation, savings, and fine reductions.
- No CapEx hardware deployment model, integrating hardware, maintenance, and support into the subscription fee.