AquaLens
Case Study

AquaLens

AquaLens is a web-based AI platform that transforms official US government water quality data into clear, location-specific insights. Users can check drinking water safety by ZIP code, city, county, or GPS location, supported by AI-generated explanations, visual analytics, and EPA-aligned risk summaries.

700+
Drinking-water contaminants
100
High-impact contaminants identified
10+
Official Datasets

The Challenge

US water quality data is fragmented, highly technical, and difficult for consumers to interpret. With over 700 potential contaminants and emerging risks such as PFAS, users lack actionable, localized insights to make informed decisions.

Our Approach

The platform aggregates data from multiple official US government sources, prioritizes the most impactful contaminants based on EPA limits, and applies AI models to generate plain-language summaries, risk assessments, and recommendations. The solution is delivered through a scalable, map-driven web interface with automated report delivery.

The Results

700+ potential drinking-water contaminants identified from official US government sources 100 high-impact contaminants prioritized with EPA maximum safety limits 10+ official datasets aggregated into a unified platform 5 years of historical data (2020–2025) analyzed for trends and relevance Nationwide coverage across ZIP code, city, county, state, and GPS-based locations

Technology Stack

Microsoft AzureAzure OpenAIPostgreSQLGitHubMapboxReact

Interested in a similar solution?

Start a Conversation