Built to keep fish alive.

We started as aquarium hobbyists who got tired of watching fish die from preventable causes. So we built the tool we wished we had.

From a problem we lived every day

AquaShelter started as an iOS app for aquarium hobbyists. We built tools for tracking tank parameters, scheduling maintenance, and identifying fish. It was useful — but we kept seeing the same problem everywhere.

Fish were dying. Not from complicated diseases. From wrong diagnosis, or from treatments that harmed the rest of the tank. Copper wiping out shrimp. Antibiotics crashing biofilters. A person who spent $400 building a tank, losing everything because they guessed wrong.

We knew there was a medical solution. UF IFAS Extension and Merck Veterinary Manual contain everything needed to diagnose and treat aquatic disease correctly. The problem was access — and the ability to apply that knowledge to a specific tank context.

So we built a medical RAG engine, integrated Google Gemini for context understanding, added a treatment safety layer that automatically blocks dangerous treatments based on tank inhabitants, and pointed the whole system at aquarium shop owners — the people who can actually help their customers when something goes wrong.

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Our Mission

Make expert-level aquatic health guidance accessible to every fish owner on earth — through the aquarium shops that already serve them.

2,362+
Species covered
19
DB tables
100%
Safety-first
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Competing in XPRIZE
Build with Gemini 2026

AquaShelter is one of the teams competing in the Build with Gemini XPRIZE 2026 — a $2M global competition to build real AI businesses in 90 days, powered by Google Gemini.

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The Competition

XPRIZE challenges teams worldwide to use Google Gemini to build businesses that solve real-world problems. AquaShelter addresses global aquaculture and hobbyist fishkeeping — a $5B+ industry where disease is the #1 cause of loss.

Built by
Abload Ltd
Egypt / United Kingdom

What's under the hood

Production-grade infrastructure, not a demo.

Google Gemini 2.5 Flash
Natural language understanding, symptom extraction, medical review
Vertex AI (Google Cloud)
Production API with structured output & thinking mode
Medical RAG Engine
Rule-based differential diagnosis with confidence scoring
MySQL Production Database
19 tables, full audit trail, separate shop and customer isolation
2,362+ Species Database
Fish, corals, invertebrates, plants with bioload & sensitivity data
UF IFAS + Merck Veterinary
Medical source data: disease protocols, treatment regimens, safety flags

See the AI in action

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