SeaCras delivers environmental and coastal surveillance solutions using high-resolution satellite imagery and AI algorithms. The company provides continuous, global data delivery to evaluate key marine metrics for sustainable blue economy operations. Their offerings include integrated monitoring, pollution detection, and ESG reporting tools for maritime and coastal management.
Funding
Funding not disclosed
Founders
Product
Problem
Monitoring water quality and detecting pollution in marine environments traditionally involves costly hardware installations, on-site operators, and infrequent data collection, leading to delayed responses to environmental hazards. Existing methods often lack the scale and real-time capabilities needed for comprehensive surveillance of territorial waters and remote marine areas.
Solution
SeaCras offers a suite of coastal intelligence solutions that leverage high-resolution satellite imagery and AI algorithms to provide continuous, large-scale marine environmental monitoring. Their platform detects and identifies various pollution sources, including both static and dynamic discharges, differentiating between natural and human-made origins. SeaCras delivers timely alerts and trajectory predictions for pollutants like oil spills and sewage, enabling rapid response and mitigation. The system integrates data from multiple sources, including in-situ sensors and remote sensing devices, to create a digital twin of water bodies, offering comprehensive insights into physical and biochemical parameters. SeaCras's solutions support ESG reporting, maritime spatial planning, and sustainable business practices by providing actionable intelligence for marine environment management and climate resilience.
Target Audience
SeaCras targets maritime transport companies, coastal tourism operators, coastal urban developers, offshore energy companies, environmental monitoring agencies, and scientific/institutional users requiring comprehensive marine data and analysis.
Features
- Sub-daily monitoring of coastal areas using high-resolution satellite imagery.
- AI-powered detection and identification of pollution sources, including oil spills, blackwater discharges, and sewage.
- Trajectory prediction for dynamic pollution events, enabling timely intervention.
- Integration of in-situ sensor data with satellite imagery for a comprehensive view of water quality.
- Digital twin technology for simulating and forecasting marine environmental conditions.
- ESG reporting tools for tracking and demonstrating sustainable practices.
- API for integration with existing databases and systems.
- Customizable alerts and notifications for pollution events and environmental changes.