WildSight delivers accurate biodiversity datasets from your trail camera footage—no infrastructure, no hassle.
We’re solving the bottleneck between raw data collection and actionable biodiversity insight—using AI to make conservation faster, cheaper, and more scalable.
What do we do ?
We use AI to automatically analyze trail camera footage—detecting species, counting individuals, estimating size, and extracting key data points like timestamps and (when available) GPS. The result? Structured, ready-to-use biodiversity datasets delivered in formats like CSV, JSON, or through our API.Send us your raw trail camera footage — we’ll handle the rest.-You get species identification, individual counts, and size estimates, all automatically extracted.-Each detection is time-stamped, geotagged (when available), and structured for analysis.-Your results arrive as clean, searchable datasets — in CSV, JSON, or through our API — ready to use.-No need to change your gear. WildSight works with your existing trail cameras, out of the box.
WildSight turns raw trail camera footage into rich, structured biodiversity datasets — automatically, accurately, and with zero infrastructure required on your end.
Send us your raw trail camera footage — we’ll handle the rest.-You get species identification, individual counts, and size estimates, all automatically extracted.-Each detection is time-stamped, geotagged (when available), and structured for analysis.-Your results arrive as clean, searchable datasets — in CSV, JSON, or through our API — ready to use.-No need to change your gear. WildSight works with your existing trail cameras, out of the box.
The more you capture, the sharper it gets.
Our system integrates species detection, individual counts, and size estimation in a seamless, low-latency architecture that can run in the cloud or offline.
Through collaboration with biologists, research institutions, and conservation teams, we continually refine and expand our models.
This expert-curated training data forms the foundation of our models. Each image is reviewed and labeled by specialists who understand species traits, behaviors, and regional variation. These annotations are then formatted into a structured dataset that our models use to learn how to detect wildlife, count individuals, estimate sizes, and differentiate species—even in difficult lighting, weather, or motion conditions.This human-in-the-loop approach ensures that our AI isn’t just fast—it’s grounded in ecological expertise, and capable of delivering accurate, trustworthy results in real-world conditions.
WildSight is designed to meet the real-world needs of conservationists, researchers, and wildlife managers.
Here’s how it could transform the way trail camera data is used:
Uncover hidden patterns in wildlife behavior by transforming unstructured footage into time-stamped, location-aware datasets that reveal movement, interactions, and seasonal trends.
Track biodiversity shifts over time using consistent, structured outputs that make it possible to monitor species declines, migrations, or climate-related changes at scale.
Empower conservation teams with better data by replacing manual photo reviews with real-time, species-level insights—freeing up resources for action on the ground.
WildSight offers more than automation—it’s a tool for accelerating ecological discovery.Our mission is to empower science with clean, consistent, and collaborative data—so researchers can spend less time sorting, and more time discovering.
Whether you’re exploring a project or just curious, send us a message.