The physical world,
searchable.
Graylark is an applied AI research lab building frontline intelligence systems for a safer world. Raven, our first system, locates scenes, identifies vehicles and assesses visual authenticity—without metadata.
The evidence is already there.
In images. In video. In fragments and patterns most systems overlook. Graylark researches how machines can interpret, contextualize and resolve those signals—precisely and in time.
The challenge is not access to signal. It is making sense of it before the moment is lost.
Research, deployed.
Raven is Graylark’s first frontline intelligence system: a visual investigation workspace that turns low-context imagery into ranked leads for human review.
From one frame to officers on scene in eight minutes.
A threatening livestream went live. Raven identified the location from a single frame in seconds. Eight minutes after upload, officers were on scene and the individual was under arrest.
Based on a real case · Dramatized recreation. Interface and results shown are representative.
- Input
- A single livestream frame
- Raven
- Location identified in seconds
- Outcome
- Officers on scene in eight minutes
How we think about imagery, evidence and verification.
GeoSpy started as a two-week experiment in a one-bedroom Boston apartment. The investigators who found it showed us what it needed to become.
Read the story →What image geolocation is, how it differs from GPS and reverse image search, where it breaks down, and how investigators turn a low-context image into a verified location.
News · Funding Graylark Raises $10.7 Million to Build RavenThe seed round was led by General Catalyst, with backing from AI Grant and participation from Alexandr Wang, Recorded Future, and other investors and operators.
Put visual intelligence to work.
See how Raven turns low-context imagery into ranked leads your team can verify.