Cosma provides large‑scale seabed observation by deploying swarms of lightweight autonomous underwater drones that capture optical and acoustic data up to 200 m depth. The raw data is processed in the Cosma AI cloud platform, where AI‑driven reconstruction creates detailed, actionable maps for biodiversity monitoring, security, and scientific research, offered as an affordable, open‑data survey service.
Funding
$2.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OWFounders
Product
Problem
Comprehensive seabed mapping is hindered by expensive, bulky survey equipment and limited access to high‑resolution optical and acoustic data, especially at depths beyond a few meters. This restricts biodiversity monitoring, environmental impact assessments, and subsea security planning.
Solution
Cosma deploys swarms of lightweight autonomous underwater drones that operate a few meters above the ocean floor to capture optical and acoustic imagery down to 200 m depth. The collected raw data is uploaded to an AI‑driven cloud platform where large‑scale underwater computer‑vision algorithms reconstruct centimeter‑accurate, photogrammetric seabed models and generate interpretive layers such as biodiversity annotations and obstacle detection. The resulting “living maps” are delivered in standard GIS formats and through an interactive web portal, enabling continuous monitoring and rapid decision‑making for scientific, regulatory, and security applications.
Target Audience
Primary customers include marine research institutions, environmental regulators, and subsea security or infrastructure firms that require high‑resolution, up‑to‑date seabed intelligence for biodiversity monitoring, impact assessments, and obstacle detection.
Features
- Swarm of the world’s lightest autonomous underwater drones for rapid, scalable surveys from near‑shore hectares to multi‑kilometer offshore areas
- Dual‑sensor payload capturing high‑definition optical images and high‑frequency acoustic data at depths up to 200 m
- AI‑powered photogrammetric reconstruction producing a Digital Twin of the seabed with centimetric positioning
- Automated bio‑annotation and obstacle‑identification tools accessible via a collaborative interpretation platform
- Export of results in common GIS formats (PDF, SHP) and integration with existing environmental impact assessment workflows
- Cloud‑based processing pipeline that scales to large datasets and updates maps continuously as new data are acquired