The Challenge
Conservation teams are drowning in data, not short of it:
Manual overload
Weeks of post-survey image review for every single mission.
No context
Raw counts don't explain why species move; climate and habitat stress go untracked.
Resource walls
Staff shortages limit how often surveys happen, shrinking coverage and growing blind spots.
See It In Action
The Solution
BioTrack AI connects every component of ecological data — aerial surveys, camera traps, Copernicus Earth Observation data, weather correlation and predictive analytics — into one platform covering the entire wildlife-monitoring lifecycle:
From raw imagery to ecological intelligence
Species detection
Automated counts and density heatmaps across survey areas.
Weather correlation
Real-time correlation between animal activity and temperature, wind and rainfall.
AI insights
Automated findings such as negative-correlation detection and activity-window identification.
Why Space Matters
Aerial detection without Earth Observation context is just dots on a map. Copernicus and Galileo turn those dots into ecological intelligence:
Earth Observation (Copernicus)
Sentinel-2 NDVI reveals vegetation stress; land-cover change exposes habitat degradation; deforestation is tracked near real-time.
GNSS / Galileo
Sub-meter geotagging enables exact spatial mapping, repeatable transects and long-term trend analysis.
Where We Are Now
Feasibility study in progress; PoC replay pilots are next.
Requirement baselines established
Formal user requirements defined with Letter-of-Intent (LOI) partners.
Aerial datasets prepared
RGB and thermal imagery annotated for baseline AI models.
Cloud infrastructure live
OVHcloud pipelines supporting AI training and Copernicus API ingestion.
Multi-species detectors in training
Weather-data overlays being integrated ahead of PoC replay pilots.