Raven
The visual geolocation technology originally introduced as GeoSpy has evolved into Raven, Graylark's frontline visual intelligence platform for law enforcement and government.
Same team. Broader capabilities. Built for operational use.
Raven
GeoSpy began with a focused mission: determine where an image was captured using visual information alone. As the technology and its operational applications expanded, the GeoSpy name no longer represented the full platform.
Raven reflects what the product has become: a unified visual intelligence system that turns low-context imagery into actionable investigative leads.
For the founder account of how GeoSpy started and why it became Raven, read Why We Built GeoSpy and Why It Became Raven. Graylark has also raised a $10.7 million seed round to build Raven.
Every capability GeoSpy was known for is still here. Raven adds the layers investigators asked for next.
Where the platform started.
Where the platform is today.
The same frame can be run through each capability. Every one of them reads the pixels only, and every one of them returns ranked candidates rather than a single verdict.
Raven reads terrain, architecture, vegetation, road design, and other visual signals to rank likely geographic regions, even when landmarks and metadata are missing.
Raven narrows broad search areas into ranked street-level or precise candidate locations using the visual evidence contained in the image.
From partial, obstructed, interior, or exterior views, Raven returns ranked vehicle candidates based on visual similarity.
Raven assesses imagery for signs of synthetic generation, deepfakes, face swaps, and other forms of manipulation.
Each capability has its own breakdown on the Raven capabilities overview.
Raven is developed by the same team at Graylark that created GeoSpy. The mission remains the same: help investigators extract useful intelligence from imagery when metadata, landmarks, and other obvious clues are missing.
The people who built GeoSpy build Raven.
The geolocation model GeoSpy introduced still sits at the core.
Street targeting, vehicle identification, and image verification on top.
Questions about how Raven works, how its results should be read, or how to evaluate it? See the full Raven FAQ.
Explore Raven's expanded visual intelligence capabilities or request a demonstration for your organization.