Helping engineers and operators work more efficiently through automation and data-driven insights.
• Training AI models on archived datasets from multiple facilities.
• Building digital twins of our facilities.
• Connecting live operational data to digital twins.
• Linking AI models to digital twins to predict how key parameters develop.
• Developing dashboards with live KPIs and AI-derived reference values.

Better feeding, growth and fish welfare. Supporting more accurate feeding and better insight into fish behaviour.
• Computer vision and machine learning estimate biomass, growth and feeding behaviour.
• Abnormal behaviour that can point to disease or stress is flagged automatically.
• Integrated with the Njord feeding control.

Fewer losses and healthier fish. Using data to identify patterns that may indicate emerging health challenges.
An AI model looks for patterns across water quality, behaviour and historical data.
Biosensors and image analysis pick up early signs of disease.
Fish biology findings from Njord are combined with historical water quality data to support earlier follow up.

Live alerts that keep small events from turning into large ones. Providing earlier visibility into mortality events and potential root causes.
Cameras detect dead fish in the mortality box and alert on unusual numbers.
Mortality data is combined with water quality and welfare data.
The combined data is used to look for root causes.

Documenting and improving environmental performance. Supporting more efficient use of resources and environmental documentation.
Remote sensors and AI monitor environmental impact around the facility.
An AI module supports better use of water, energy and sludge treatment.
The documentation feeds directly into ESG reporting and certifications.

A connected digital value chain. Connecting systems and operational data to provide a complete digital overview.
AI analytics connected to existing PLM and ERP systems.
AI looks at deviations between planned and actual operations.
Digital twins cover the full facility, including electrical and automation systems.

Adapting to different species, climates and regulations. Building digital solutions that can adapt to different species and production environments.
Modular AI solutions that can be trained on local conditions.
We work with regional partners to train models on local data.
Robust, standardised models with room for local variation.