Build one connected data foundation.
Bring production, health, environmental, treatment, product, and operational data together across the systems you already use.
Our intelligence software helps teams understand how biology, farming practices, and products interact. Explain outcomes, anticipate what's next, and improve with every production cycle.
The network represents the evolving, interconnected data around fish production. Hover or focus nodes for variable context.
Our software powers real-time, AI-driven intelligence across aquaculture, bringing clarity to complex biological and operational data, from farm performance to product intelligence.
The Intelligence data Layer
Bring production, health, environmental, treatment, product, and operational data together across the systems you already use.
Use connected production histories and context to model biological risk, expected performance, and other production outcomes.
Use dashboards, reports, comparisons, and deeper analysis to understand performance, investigate outcomes, and support research and decisions.
One Intelligence System // Two Applications
Platform tools to predict risks, model performance, investigate fish health, and guide decisions from egg to harvest.
↗FARM / PRODUCTIONResearch and analysis reporting to understand product performance in real commercial conditions.
↗SUPPLIER / PRODUCTSHealth Overview · Week 44, 2026
Track your ongoing lice situation
Mortality experienced during the active generations
| Mortality Reason | Percentage | Count |
|---|---|---|
| Undetermined cause | 31.4% | 78,500 |
| Gill-related conditions | 19.6% | 49,100 |
| Handling and transfer | 12.2% | 30,500 |
| Environmental conditions | 10.4% | 26,100 |
| Bacterial infection | 7.6% | 19,000 |
| Physical injury | 5.8% | 14,500 |
| Other recorded cause | 5.2% | 13,000 |
| Parasitic conditions | 3.8% | 9,500 |
| Predation / escape loss | 2.1% | 5,200 |
| Unclassified | 1.9% | 4,800 |
Distribution by fish weight
Specific feed rates for active generations
| Population ID | Geo cluster | Product | Mortality | Feed FCR | SGR |
|---|---|---|---|---|---|
| POP–7F21A | WEST NORWAY | FORMULATION A | 3.8% | 1.11 | 0.98 |
| POP–84C9D | SOUTH ATL. | FORMULATION A | 5.1% | 1.14 | 1.02 |
| POP–31E7B | NORTH ATL. | FORMULATION B | 6.0% | 1.18 | 0.94 |
| POP–5A92C | WEST NORWAY | FORMULATION A | 4.3% | 1.13 | 1.00 |
| POP–62B4E | SOUTH ATL. | FORMULATION C | 7.2% | 1.21 | 0.91 |
Exposure-stratified field research · Production outcomes
Interpret observed differences after accounting for production context.




Aquaculture data lives across production, feeding, fish health, environmental, laboratory, treatment, and operational systems. Each captures a different part of what is happening.
Manolin brings those sources into the data network—standardizing, normalizing, and cleaning records while preserving the aquaculture-specific context needed to make them usable together.
That connected foundation powers the models and analysis behind Watershed and Harpoon—and makes structured aquaculture data available through the API for teams building their own analytics and intelligence.

Models and analysis for farm operations, biological performance, and population-level investigation.

Structured field evidence for understanding where products perform and what influenced the outcome.

Structured aquaculture data with preserved context for custom analytics, applications, and intelligence.
Trusted by the world's leading aquaculture companies.
Manolin does not require a new hardware layer or a replacement for the systems your teams already use. It connects the records between them and reconstructs the data context behind the analysis.
Biomass, transfers, splits, merges, site movements, and harvest records.
Feed delivery, appetite, composition, growth, and production performance.
Mortality, disease, lice, welfare observations, and intervention histories.
Temperature, oxygen, salinity, weather, and regional pressure context.
Samples, diagnoses, field notes, and the clinical context behind decisions.
Treatments, vaccines, feed products, genetics, and site-level activity.
These are the most common questions teams usually ask when they first evaluate the platform.
Our technology →Manolin is the platform for aquaculture data intelligence. It connects fragmented farm data, reconstructs the history behind each fish population, and gives teams a more coherent foundation for investigation, reporting, and product-performance analysis.
Manolin starts by analyzing the systems and data your team already uses. We then connect and structure the relevant sources into a shared data foundation that can expand over time—without requiring you to replace your existing data environment.
No. Manolin works with the systems already running your operation. It connects production, feeding, health, environmental, laboratory, and operational records into an accurately traced data layer that powers Manolin’s modeling, reporting, analysis, and API.
Watershed is Manolin’s farm-intelligence application. It supports fish-health monitoring, product and treatment performance evaluation, risk and production modeling, and internal reporting and analysis.
Harpoon is Manolin’s product-intelligence application for aquaculture suppliers. It helps teams evaluate product performance across commercial farming conditions, conduct observational research, build evidence, improve product guidance, and support R&D, product, and commercial decisions.
Manolin structures analysis around data anonymization, controlled access, clear permissions, and the appropriate level of aggregation for the use case. Supplier analysis is designed to support evidence generation without exposing farm-level information outside the agreed scope.
Yes. Manolin can complement existing data investments rather than requiring teams to rebuild their infrastructure around a new system. The right setup depends on the data environment, use case, and how your team wants to access or use the resulting intelligence.
Explore how our intelligence software changes the way your team works with farm risk, reporting, and commercial product evidence.
Connect fish records, compare outcomes, and prepare a clearer evidence trail for the questions your team needs to answer.
Explore Watershed →Evaluate observed performance across comparable farm sites and identify the next question your team should investigate.
Explore Harpoon →