Funding
Funding not disclosed
Founders
Product
Problem
Effective monitoring of marine protected areas and the collection of comprehensive oceanographic data are hindered by the limitations of traditional survey methods. This gap impedes the implementation of data-driven sustainable fishing practices and robust marine conservation strategies.
Solution
Blume deploys an integrated system of autonomous marine robotics and advanced AI to address these challenges. Our platform utilizes underwater robots and autonomous sailing vessels equipped with sophisticated sensors to gather diverse oceanographic data, including physicochemical parameters like pH, temperature, and salinity. This data is processed by proprietary AI models to analyze biological and environmental information, enabling predictive analytics for marine biomass. The insights derived support the development and enforcement of sustainable fishing regulations and enhance the effectiveness of marine conservation initiatives across Latin America.
Target Audience
Our primary customers are governmental environmental agencies, marine research institutions, and fisheries management organizations operating in Latin America that require advanced data collection and analytical tools for conservation and resource management.
Features
- Autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs) for comprehensive marine data acquisition.
- Integrated sensor suite for real-time collection of physicochemical data (pH, temperature, salinity).
- Advanced AI-powered analytics for processing large-scale oceanographic datasets.
- Predictive modeling capabilities to forecast marine biomass location, size, and quantity.
- Deployment of cameras and sonar on robotic platforms for enhanced environmental and biological monitoring.
- Focus on supporting sustainable fishing practices through actionable data insights.
- Application of AI for marine conservation strategy development and enforcement.