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Aquaculture Data Intelligence

The Intelligence
for Aquaculture farms and suppliers.

Manolin reconstructs fish population histories across systems, sites, splits, merges, and transfers. Farms use that context to investigate fish health risk. Suppliers use it to evaluate product performance in commercial conditions.

01 Population-traced data 02 Aquaculture-specific models 03 Operational and field evidence
Data Systems Status // Excellent Signal monitor // live
Kvarøy
Hofseth
Veramaris
Cargill
The data problem

Fish records break before the analysis begins.

As fish populations move between sites and cages, receive different treatments, and experience changing conditions, the historical context behind performance becomes fragmented across disconnected systems and cage-based records. Without a coherent fish history, teams spend too much time reconstructing events and too little time evaluating what changed.

Manolin // data problem Trace integrity monitor
Source 01 Production systems
Source 02 Feeding systems
Source 03 Fish-health records
Source 04 Environmental data
Source 05 Lab + veterinary data
Source 06 Product + operational records
Fish history fragmented across records
For farms // operational investigation

Why did treatment performance diverge between two sites?

What changed this generation compared with the last?
Which conditions shaped the mortality event?
For suppliers // field evidence

Did the product drive the outcome, or were other variables involved?

Where does the signal remain consistent?
What should R&D investigate next?
Two applications // one intelligence foundation

Supporting global aquaculture teams everywhere.

Watershed and Harpoon use the same population-traced infrastructure. The difference is the outcome your team needs to produce.

Fish health Quality management Farm operations
Watershed // farm intelligence

Investigate fish-health risk without rebuilding the history from scratch.

Watershed preserves the biological context behind farm data. Teams can see where risk is changing, compare treatment and mortality outcomes on traceable populations, and pull the evidence behind reporting and audit questions faster.

01
Identify where fish-health risk is changing Review disease, lice, mortality, and welfare signals across sites without separating the alert from the population history.
02
Compare interventions against more coherent baselines Evaluate treatment and mortality outcomes across generations, transfers, splits, and merges with the prior context intact.
03
Prepare reporting and audit evidence from the same record Reduce the manual work required to reconstruct site, generation, and intervention histories for internal and regulatory review.
Explore Watershed
Manolin // Watershed Population intelligence interface
Site map // area intelligence live
Selected site Site Fjord-03 Area 4, NOR
Est. fish weight 1.6 kg
Diseases Tenacibaculum
Female parasites 2.5
Treatments Mechanical
Female parasite pressure +18%
Disease models // selected site 03 active
Site Fjord-03 Current disease-model outlook
Moritella viscosa Low risk
Tenacibaculum High
PD Low risk
Population record updated 06:30
Sites monitored 18 4 regions
Active generations 42 population traced
Trace continuity 97.4% high confidence
The shared intelligence layer

A coherent population record before any model runs.

Manolin’s differentiation starts underneath our software. The platform preserves the biological history behind the data, then applies aquaculture-specific analysis to questions that are otherwise difficult to answer reliably.

01 // Connect

Bring the systems together.

Integrate production, feeding, environmental, health, laboratory, and operational records without requiring a new hardware layer.

02 // Reconstruct

Preserve the fish history.

Link data to traceable populations rather than temporary cage locations as fish are split, merged, transferred, and moved.

03 // Contextualize

Compare the right baselines.

Evaluate performance with the conditions, interventions, and prior events that shaped the population outcome.

04 // Investigate

Move from signals to action.

Give farm and supplier teams a clearer path from a detected change to the next investigation, report, or decision.

By the numbers

The Network That Makes the Intelligence Possible.

Trusted by the world's leading aquaculture companies.

Generations analyzed
Fish traced
Data points modeled
Avg. model accuracy
Years of global data
Built around your existing systems

Connecting the data already running operations.

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 population context behind the analysis.

01

Production systems

Biomass, transfers, splits, merges, site movements, and harvest records.

02

Feeding systems

Feed delivery, appetite, composition, growth, and production performance.

03

Fish health records

Mortality, disease, lice, welfare observations, and intervention histories.

04

Environmental data

Temperature, oxygen, salinity, weather, and regional pressure context.

05

Laboratory and veterinary data

Samples, diagnoses, field notes, and the clinical context behind decisions.

06

Product and operational records

Treatments, vaccines, feed products, genetics, and site-level activity.

Discuss your data environment
Frequently asked questions

Understand what's behind the platform.

Manolin is not another generic AI tool. These are the most common questions teams usually ask when they first evaluate the platform.

Our technology
What is Manolin?

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.

What does population tracing mean in aquaculture?

Fish populations move through splits, merges, transfers, changing sites, and changing conditions. Population tracing preserves the record behind those movements so teams can compare outcomes against the right biological history rather than only the current cage location.

Does Manolin replace our existing farm systems?

No. Manolin is designed to work with the systems already running the operation. It connects production, feeding, health, environmental, laboratory, and operational records into a population-level traced intelligence layer.

What is the difference between Watershed and Harpoon?

Watershed is the farm-intelligence application. It supports fish-health risk investigation, intervention comparison, reporting, and audit readiness. Harpoon is the supplier-intelligence application. It connects commercial farm data to product usage so R&D and product teams can evaluate observed performance and prioritize the next study.

How does Manolin handle farm and supplier data confidentiality?

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.

How is Manolin different from dashboards, BI tools, or general AI assistants?

Dashboards and AI assistants can summarize the records they receive. Manolin adds the aquaculture-specific infrastructure required before that analysis begins: population tracing, data cohesion, domain context, and models built around the biological system.

Start with your application

Run your next analysis with Manolin's intelligence.

Explore how population-traced intelligence changes the way your team works with farm risk, reporting, and commercial product evidence.

For farms // Watershed

Investigate fish health risk with the fish history intact.

Connect site-level records, compare outcomes, and prepare a clearer evidence trail for the questions your team needs to answer.

Explore Watershed
For suppliers // Harpoon

Build more defensible product evidence from the field.

Evaluate observed performance across comparable populations and identify the next question your team should investigate.

Explore Harpoon