Autonomous research vessels & AI-powered sensor data providing subsea intelligence at scale
Ocean monitoring. Reimagined.
Unlocking a new era of ocean understanding through underwater sensing and computer vision
The SenseVision data platform uses machine learning and AI-models to turn raw USV data into advanced insights and reportable metrics
Mission:
Environmental research
By combining proprietary autonomous technology with advanced computer vision pipelines, we enable research projects that require continuous, year-round monitoring of water quality and marine biodiversity at sea. Trace possible pollutants and measure the effects of remedies and regenerative practices to reestablish clean and living marine ecosystems and habitats.
Regenerating a healthy ocean environment through innovative sensor-data collection and machine learning
SenseBoat generates the continuous environmental intelligence needed to understand, protect, and restore marine ecosystems. By transforming fragmented observations into real-time, long-term monitoring of large ocean areas, the platform reveals environmental changes as they happen. This enables targeted regenerative interventions whose outcomes can be measured, improved, and scaled through data-driven decision making.
Mission:
Recreative waters
Monitoring of water quality at beaches, ocean swimming zones and other recreative water areas. Trace pollutants and bacteria across large areas and find sources of the problems. The slow travel speed and friendly design enables close contact to people, kayaks and smaller sailing vessels.
Deploying a new generation of sensors, AI, and automated environmental intelligence
Traditional environmental monitoring often relies on manual sampling, laboratory analysis, and reporting processes that can take weeks, months, or even years before results become available and actionable. Sensemakers is helping transform this process through the deployment of advanced sensors, autonomous data collection systems, and AI-powered analytics.
By combining real-time sensor measurements with automated data processing and machine learning, environmental conditions can be assessed instantly rather than retrospectively. The platform continuously generates key metrics, alerts, visualisations, and reports, enabling faster and better-informed decision making for authorities, researchers, businesses, and local stakeholders.
Through web-based dashboards, users gain 24/7 access to live environmental data, trends, and performance indicators from anywhere.
