Duxpace offers a near‑real‑time platform that processes Sentinel satellite imagery with AI to give Norwegian salmon farms early warnings of harmful algal blooms. By detecting blooms before they impact stock, the service helps aquaculture operators protect yields and reduce environmental risk.
Funding
Funding not disclosed
Founders
Product
Problem
Algal blooms can rapidly develop in Norwegian coastal waters, causing significant mortality and financial loss for salmon farms. Early detection is difficult because traditional monitoring relies on on‑site sampling and manual observation, which may miss fast‑moving events.
Solution
Duxpace provides a near‑real‑time monitoring platform that ingests Sentinel satellite imagery and applies AI algorithms to identify harmful algal blooms over aquaculture sites. The system continuously processes new satellite passes, generating alerts that are delivered directly into farm management workflows. By leveraging space‑borne data, the platform offers broad spatial coverage without the need for additional field equipment. Early warnings enable operators to implement mitigation measures—such as adjusting feed regimes or deploying treatment options—before blooms impact stock. The service is currently integrated with partners like EquaFish AS, allowing seamless incorporation of alerts into existing operational dashboards.
Target Audience
Primary customers are salmon farm operators and aquaculture management teams in Norway who need timely environmental intelligence to protect production yields.
Features
- Automated ingestion of Sentinel‑2 multispectral imagery with a processing latency of minutes after acquisition
- Deep‑learning models trained to detect and classify bloom signatures specific to Norwegian fjord conditions
- Geofencing of individual farm sites to generate location‑specific alerts and risk scores
- API and webhook delivery mechanisms for real‑time integration with farm management software
- Historical bloom mapping and trend analytics to support long‑term environmental risk assessment