Ondara AI
About
Instant water testing for shrimp farms that prevents diseases and increases yields.
Industry
AgTech, Deeptech, AquaTech
Location
Massachusetts, United States
Startup Status:
Active
Investment Track:
Common Track
Date Invested
February 2025
-
Challenge
- The $70B shrimp farming industry loses 40% of yield to preventable diseases due to delays in water sample testing.
-
Solution
- Ondara AI provides instant, cost-effective water testing, helping shrimp farmers double production and boost farm health.
Product
We approach the problem by building a physical device able to detect pathogens in the water. We first use a pump that flows water into a microfluidic chip, where pictures will be taken by a microscopic camera of the water samples.
The pictures will then be fed to computer vision models, which output particle analysis regarding algae and bacteria. The whole automated process takes the span of minutes and will give farmers the information they need to protect their farms.
Team
Beckett Devoe: MIT AI Engineer. 7 years experience in aquaculture. Experience building remote water sensing. Built MIT sponsored CV products.
Allen Chen: MIT Mechanical Engineer. Implemented Apriltag recognition system for an AUV. Designed and implemented gradient descent for optimizing nanantenna parameters in MIT RLE.
Jackson Holland: Former ML consultant and aquaculture student researcher at MIT Sea Grant. Experience building ML models for Cadex Solutions, applying CV at MIT Sea Grant, and researching diffusion for safe offline reinforcement learning at MIT LIDS.
Details:
- Industry: AgTech, Deeptech, AquaTech
- Location: Massachusetts, United States
- Startup Status: Active
- Investment Track: Common Track
- Date Invested: February 2025