Who we work with 

On farms and hatcheries, Seaweave helps monitor behaviour, health, biomass and water conditions for species such as finfish, mussels, oysters and seaweed, across both in‑water and land‑based systems. Our platforms support coastal mussel and oyster farms, finfish cages and pond systems, and emerging seaweed operations, giving each sector tools that reflect its specific infrastructure, growing practices and risks. Underwater cameras, water quality rafts and smart buoys create a live view of stock and sites, so managers can see what is happening beneath the surface without constant site visits or diver call‑outs.

By combining imaging with AI, farms can track indicators such as stock density, feeding behaviour, net and structure biofouling, gear integrity and changes in water visibility or waste, alongside early signs of stress in near real time. The same approach can be applied in raceways, nursery tanks and grading areas using morphology tools, so hatchery and land‑based teams can measure size, shape and condition as animals move through the system, not just in the lab. This supports more confident decisions about stocking, grading, feeding, harvest timing and site rotation, while building a digital twin of each farm that captures how conditions and performance change over time.

In wild capture fisheries and other marine operations, Seaweave focuses on making what happens on deck and in plants visible and measurable, not just recorded as numbers in a logbook. Our camera and AI platforms are used for tasks such as species identification, sizing, counting and sex determination, so every haul or batch can be characterised in more detail without slowing crews or lines.

On vessels, smart cameras can watch key points like hoppers, brailers and discharge points, turning footage into structured data on what is being handled, when and how, while GPS tracking and RFID link those events to specific trips, locations and assets. In factories and grading rooms, cameras positioned over conveyors and tables measure size, shape and surface features for finfish, shellfish and crustaceans in real time, supporting grading, yield management and quality checks at full line speed.

The same vision and AI capabilities can be tuned to specialised needs such as marine mammal and wildlife detection around operations. This provides richer operational and biological data to support management decisions, research collaborations and assurance programmes.

In processing plants, grading rooms and other land‑based facilities, Seaweave brings morphology and machine vision tools out of the lab and into operational environments. Cameras positioned over tanks, graders or key conveyors become measurement devices that can assess size, shape and surface condition at commercial line speeds.

​By generating morphometric data and simple quality indicators in real time, plants can see every unit, not just a sample, tighten grading bands and giveaway, and link product characteristics back to farms, vessels and cohorts. Because these systems are designed for operational testing rather than controlled lab setups, they fit into existing workflows with minimal disruption.

Seaweave works alongside marine scientists, research institutes, iwi and conservation partners to turn demanding field conditions into rich, analysable datasets, rather than occasional snapshots. Our cameras, sensors and tracking systems are engineered for farms, vessels and open‑water sites, so research teams can collect continuous, operational‑scale data without needing to be on the water every day.

By combining rugged imaging platforms with advanced morphometrics and behaviour analytics from the Bioeconomy Science Institute, we help translate images of fish, shellfish and seaweed into precise size, shape and condition measurements at scale. These tools are designed for real farm tanks, cages and grading lines, not just controlled lab environments, enabling operational testing that reflects how animals and systems actually perform in practice.

​Beyond stock measurement, the same platforms can support marine mammal and wildlife detection, biofouling assessment on nets and structures, water quality and visibility indicators, and fine‑scale tracking of particles, waste and plankton in the water column. All of these streams feed into FLOW, where researchers can review events, run analyses and build digital twins of sites, fleets or value chains, creating a shared evidence base that supports science, policy and industry decision‑making.

Across all of these environments, the same imaging and AI capabilities can be tuned to specific challenges such as marine mammal detection, net and structure biofouling, gear integrity, invasive species and changes in water visibility or waste. Because cameras, sensors, RFID and tracking all feed into FLOW, operators can build a single digital twin of their operation that spans pens, vessels and factory lines, giving teams one view of what is happening, what has happened and where to act first.