XpertSea
An AI data platform for shrimp and fish farming, from nursery counting to market trading
XpertSea started from a very unassuming pain point: how do you count shrimp larvae? Counting one by one manually is both slow and error-prone. It made image-based counting and measurement tools and later extended them into a full data-analysis and cloud platform for shrimp and fish farming.
Features and application scenarios
The core capability is using image analysis to replace manual sampling: counting larvae, measuring individual size and uniformity, turning each pond's growth curve into comparable data. This data then grows into a cloud analytics platform, letting farmers judge feeding, water changes, and harvest timing, and giving buyers a common language for quality. XpertSea is listed as one of the flagship companies in precision aquaculture, with main markets in shrimp-producing regions of Latin America and Asia.
Suited to shrimp and fish farms, nurseries, and the buying and processing side. Taiwan's whitleg-shrimp farming isn't large in scale but is technology-intensive, and nurseries actually have quite a few disputes over "is the larvae count accurate" — the first value of this kind of image-counting tool is often not efficiency but turning buyer-seller disputes into a number both sides agree on. Honestly, this can change the industry's trust structure more than raising a few more shrimp.
Main features
- Image-based automatic counting of shrimp/fish larvae
- Individual size and uniformity measurement
- Growth-curve tracking and comparison for each pond
- Cloud data analysis and harvest-timing judgment
- Quality data shared between the farming and buying sides
Common uses
- Quantity and spec confirmation in shrimp/fish-larvae trading
- Tracking pond growth performance
- Feeding and harvest decisions
- Buyers' quality acceptance
Key Features
- Image-based automatic counting of shrimp/fish larvae
- Individual size and uniformity measurement
- Growth-curve tracking and comparison for each pond
- Cloud data analysis and harvest-timing judgment
- Quality data shared between the farming and buying sides
Pros
- Turns nursery counting from manual sampling into an auditable number
- Has real-world deployment experience in major shrimp-producing regions
- Data can serve both the production and trading sides
Cons
- No clear local agent in Taiwan; adoption and after-sales must be handled cross-border
- Insufficient public pricing info; a quote must be requested
- Value highly depends on your original record quality; farms that never kept records see limited improvement
Use Cases
- Quantity and spec confirmation in shrimp/fish-larvae trading
- Tracking pond growth performance
- Feeding and harvest decisions
- Buyers' quality acceptance
Editor's Note
Taking something as unglamorous-sounding as 'counting shrimp larvae' all the way to the cloud — I think this is what industry AI should look like.
FAQ
Does it only do shrimp?
XpertSea started with shrimp, but the platform also covers data analysis for fish farming. Model maturity differs by species, so when evaluating, confirm real test data for the species you'll raise — don't treat a shrimp report card as a fish guarantee.
Is it worth it for a small fish pond?
The benefit of this kind of tool is highly correlated with scale. A single small pond saves little; a more reasonable way to evaluate is to look at how much you lose per year from larvae-count discrepancies and uneven specs, then work backward.