Across hatcheries and farms, post-larvae counting and shrimp sizing are still done by hand: slow, inconsistent, and dependent on whoever's holding the tray. There's no standardized, field-ready way to capture accurate data without lab equipment, leaving stocking and harvesting decisions built on estimates instead of real numbers.
Rooly partnered with farms and hatcheries as product and engineering lead to define the product strategy, then design and build the AI-powered app end to end
- Discover: Learned how operators and farm managers actually work the floor: tray setups, field constraints, daily pressure points.
- Understand: Translated those realities into a clear product spec, from capture requirements to processing logic.
- CoBuild: Designed and built the app and the computer vision models powering PL counting and shrimp sizing, together with the team.
- Scale: Structured the product for what's next: Deeper accuracy and other AI capabilities
Built for two frontline roles: the hatchery operator, who counts post-larvae batches and reports production metrics, and the farm manager, who tracks shrimp growth to make stocking and harvesting calls. Both needed fast, consistent, trustworthy data, not another manual task.
AquaVision turns a phone into an AI analysis tool. Capture a short video for automated PL counting, or a single photo for shrimp sizing, the model returns counts in real time, with annotated results and full analysis history. No specialized hardware required.
A manual, error-prone process becomes a standardized one: shrimp sizing in under a minute, PL counting in under three. Consistent, repeatable data across operators, ponds, and seasons Numbers teams can finally build decisions on.
06/
Building something that needs to work in the real world?
Let's talk about your productBack to services
Co-Creation · Mobile · AI
Designing the AI Aquaculture mobile app.
A dedicated iOS and Android application bringing AI-powered aquaculture analysis to farmers and hatchery operators working on the ground.
Across hatcheries and farms, post-larvae counting and shrimp sizing are still done by hand: slow, inconsistent, and dependent on whoever's holding the tray. There's no standardized, field-ready way to capture accurate data without lab equipment, leaving stocking and harvesting decisions built on estimates instead of real numbers.
Rooly partnered with farms and hatcheries as product and engineering lead to define the product strategy, then design and build the AI-powered app end to end
- Discover: Learned how operators and farm managers actually work the floor: tray setups, field constraints, daily pressure points.
- Understand: Translated those realities into a clear product spec, from capture requirements to processing logic.
- CoBuild: Designed and built the app and the computer vision models powering PL counting and shrimp sizing, together with the team.
- Scale: Structured the product for what's next: Deeper accuracy and other AI capabilities
Built for two frontline roles: the hatchery operator, who counts post-larvae batches and reports production metrics, and the farm manager, who tracks shrimp growth to make stocking and harvesting calls. Both needed fast, consistent, trustworthy data, not another manual task.
AquaVision turns a phone into an AI analysis tool. Capture a short video for automated PL counting, or a single photo for shrimp sizing, the model returns counts in real time, with annotated results and full analysis history. No specialized hardware required.
A manual, error-prone process becomes a standardized one: shrimp sizing in under a minute, PL counting in under three. Consistent, repeatable data across operators, ponds, and seasons Numbers teams can finally build decisions on.
06/
Building something that needs to work in the real world?
Let's talk about your productCrafted with care by Rooly.
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