Formerly
Now
Raven
GeoSpy →Raven
GeoSpy was created by Graylark Technologies to determine where an image was captured using visual information alone. In April 2026, GeoSpy became Raven, Graylark’s frontline visual intelligence platform for law enforcement and government.
Same Graylark team. Same mission. Broader capabilities.
Formerly GeoSpy/Image → Region → Street
§Official notice
GeoSpy was created and operated by Graylark Technologies. GeoSpy.ai and Graylark.com are the official domains associated with GeoSpy and Raven. Third-party websites and applications using the GeoSpy name are not operated by or affiliated with Graylark.
Created by Graylark Technologies
GeoSpy and Raven are developed by the same Graylark team.
Official domains
GeoSpy.ai and Graylark.com. GeoSpy.ai now directs to this page.
Renamed in April 2026
GeoSpy became Raven as the platform expanded beyond regional image geolocation.
A new name / April 2026
Formerly
Now
Raven
§01Why the name changed
GeoSpy began with a focused mission: determine where an image was captured when metadata, landmarks, and other obvious clues were missing. As the platform expanded into street-level targeting, vehicle identification, image verification, and investigative workflows, the GeoSpy name no longer represented the full system.
Raven reflects what the product has become: a visual intelligence platform that helps investigators turn low-context imagery into ranked leads for human review.
For an introduction to GeoSpy and AI image geolocation, read GeoSpy 101: AI Image Geolocation, Explained. For the founder account of how GeoSpy started and why it became Raven, read Why We Built GeoSpy and Why It Became Raven. To see the platform as it stands today, explore Raven.
§02GeoSpy and Raven
Raven is built by the same Graylark team and visual-geolocation foundation. Everything GeoSpy was known for is still here, and Raven adds the layers investigators asked for next.
GeoSpy Formerly
Where the platform started.
Raven Now
Where the platform is today.
§03Raven today
The same frame can be run through each capability. Every one of them works from the visual content of the image, with no metadata required, and returns ranked candidates for human review rather than a single verdict.
01Find Region
Returns ranked regional candidates for where a photograph or video frame was likely captured. No GPS or EXIF metadata is required.
One frame → ranked regions
02Find Street
Narrows a selected search area to ranked street-level, property-level, or meter-level candidate locations for investigator review.
Region → precise candidates
03Identify Car
Returns ranked make, model, generation, and year candidates from partial, interior, obstructed, or exterior views of a vehicle.
Partial views accepted
04Verify ImageBeta
Assesses imagery for signs of AI generation, face swaps, and other manipulation, and returns those findings for further review.
Authenticity analysis
Each capability has its own breakdown on the Raven capabilities overview.
§04GeoSpy questions
GeoSpy was created and operated by Graylark Technologies. GeoSpy.ai now directs users to Graylark.com/geospy, the official page explaining GeoSpy’s evolution into Raven.
Yes. GeoSpy became Raven in April 2026 as the platform expanded beyond regional image geolocation into broader visual intelligence and investigative capabilities.
GeoSpy was created by Graylark Technologies. Raven is developed by the same Graylark team.
The visual-geolocation capabilities associated with GeoSpy continue inside Raven. Raven is available to qualified law-enforcement, government, public-safety, intelligence, and enterprise organizations.
Yes. Image geolocation remains a core Raven capability, alongside street targeting, vehicle identification, image verification, and case-oriented workflows.
Existing users can access their workspace through the Raven sign-in page.
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.