Sensemakers provides autonomous surface vessels and an AI-powered data platform for continuous, year-round monitoring of marine environments. The SenseBoat USV collects geolocated water quality and biodiversity data, which is processed by machine learning models and delivered through cloud dashboards for real-time insights. The system supports applications from beach water quality monitoring to offshore infrastructure surveys.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional environmental monitoring of marine areas relies on manual sampling, laboratory analysis, and reporting processes that can take weeks, months, or even years before results become available and actionable. This fragmented, retrospective approach makes it difficult to detect pollution sources, track biodiversity changes, or measure the effects of regenerative interventions in a timely manner.
Solution
Sensemakers provides autonomous research vessels and an AI-powered sensor data platform that delivers subsea intelligence at scale. The SenseBoat is a compact autonomous surface vessel (USV) equipped with advanced sensors, onboard imaging systems, and AI-assisted navigation to collect high-quality geolocated data from predefined survey locations over extended periods. Automatic docking and charging stations enable year-round operation with minimal human intervention. All data is processed through the SenseVision data platform, which uses machine learning and AI models to turn raw USV data into advanced insights, reportable metrics, alerts, and visualizations. Users access live environmental data, trends, and performance indicators through web-based dashboards available 24/7 from anywhere.
Target Audience
Primary customers include environmental researchers, authorities, and blue industries such as offshore wind farm operators, aquaculture companies, and coastal municipalities needing continuous water quality and marine biodiversity monitoring.
Features
- Compact 2.3-meter autonomous surface vessel with 10 kg payload capacity, electric propulsion, and 100 km endurance
- AI-assisted navigation enabling unmanned operation without a live operator, 365 days a year
- Automatic docking and charging stations for continuous, year-round monitoring with minimal human intervention
- Modular sensor payload platform supporting multiple configurations for water quality, biodiversity, and underwater infrastructure monitoring
- SenseVision data platform applying machine learning and computer vision pipelines to convert raw sensor data into reportable metrics and insights
- Cloud-based dashboards providing real-time access to environmental data, trends, alerts, and visualizations
- Precision-monitoring capabilities for streams, sewage pipes, pollution source tracking, offshore wind farms, and aquaculture installations