SentianOrbit

SentianOrbit

💎 Idea

The oceans face critical threats from illegal fishing, unauthorized discharges, and "dark vessels" operating off the grid. Traditional satellite surveillance suffers from high latency, privacy concerns when transmitting sensitive data to centralized servers, and temporal gaps between satellite passes. 

SentianOrbit solves this by bringing Edge AI to maritime surveillance. Currently, we run our advanced anomaly and vessel tracking models directly in the user's web browser. This client-side inference guarantees maximum privacy (as data never leaves the analyst's machine) and minimal latency. To achieve persistent, real-time tracking of dark vessels and oil spills, we are developing a data wrapper that aggregates intelligence not just from Copernicus, but from commercial providers like ICEYE, Capella Space, and OpenCosmos. By fusing this data and cross-referencing SAR imagery with AIS (Automatic Identification System) signals, our models can instantly pinpoint vessels that have turned off their transponders to engage in illegal fishing or dumping, allowing authorities to hold them accountable.

Our Vision & Business Model

Today, we operate on B2G, B2B, and B2C SaaS models. But our future lies in space: we are working on deploying our AI models (via FPGA) directly onto satellites for in-orbit processing. Instead of sending heavy imagery to Earth, satellites will beam down only the exact coordinates of incidents, providing an incredibly fast and efficient response. In this future, data providers will run our AI on their hardware to sell intelligence-enriched imagery directly.

🛰️ EU space technologies

Our foundational intelligence relies on the Copernicus Data Space Ecosystem (CDSE) and the Sentinel constellation:

- Sentinel-1 (SAR): This is our primary engine. SAR radar penetrates clouds and darkness 24/7, making it impossible for polluters or illegal fishers to hide. The radar backscatter perfectly maps both vessel structures and the dampened waves characteristic of oil spills.

- Sentinel-2 (Optical): We utilize this for optical cross-validation when conditions permit, enriching our tactical intelligence.

Value Brought

The Sentinel constellation provides a robust, wide-area baseline. By leveraging this data inside our low-latency, privacy-first browser engine, we give users instantaneous intelligence without friction. Furthermore, by blending EU Space data with high-revisit commercial constellations, we close the temporal gaps, ensuring a continuous net over global waters. 

💧 EU Space for Water

SentianOrbit directly addresses two of the core challenges:

1. Tracking and preventing water pollution: By correlating AIS data with persistent SAR imagery from multiple providers, we can immediately spot oil slicks and trace them back to the exact "dark vessel" responsible. This intelligence enables fast legal action and real-time prevention of further illegal discharges.

2. Disaster risk monitoring: Whether it's a massive accidental spill or organized illegal fishing depleting ecosystems, time is the critical factor. Our current browser-side AI and our future in-orbit processing architecture both serve one goal: eliminating latency. By instantly delivering precise coordinates to ground teams, we reduce the time between disaster occurrence and mitigation response from hours to seconds.

🤼 Team

- Grigory Filimonov (CEO & CTO | AI Specialist): Technical engine of SentianOrbit. Expert in AI, CNN, Computer Vision, and FPGA deployment. Leads the development of our in-browser and future on-orbit AI inference pipelines.

- Ricardo Heredia (CFO, COO & Business Dev): Manages the operational and financial heart of SentianOrbit. Focused on structuring our B2G, B2B, and B2C channels, and forging strategic partnerships with satellite providers.

- Queralt Pradas (CCO, CMO & Impact Analysis): Leads our communication and impact strategy. Bridges the gap between complex satellite data and global sustainability, analyzing how our platform benefits marine ecosystems and coastal communities.