Research, field notes, and visual intelligence.
How Graylark builds, evaluates, and deploys visual intelligence for consequential investigative work.
Why We Built GeoSpy and Why It Became Raven
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.
OSINT Tools for Law Enforcement: Why Live Intelligence Matters
A phone number or email address can open a new direction in an investigation. Raven connects live account discovery, public activity, and AI image geolocation in one workflow.
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Image Geolocation for Law Enforcement: From a Photo to an Investigative Lead
A useful image. No known location. How Raven turns the photograph into a lead an investigator can verify, keep, and work.
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Geolocating a Suspected Stolen Car From a Single Social Media Post
One public listing, one low-context photo, no metadata. How Raven takes an investigator from a suspicious vehicle post to a street-level hypothesis, a visual match, an organized case, and nearby camera leads.
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A Research Lab in Service of Its Customers
Graylark combines the rigor of defense research, the speed of Silicon Valley prototyping, and product design that makes advanced AI usable in the field.
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What Is Image Geolocation? How Investigators Locate Photos Without Metadata
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.
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Graylark Raises $10.7 Million to Build Raven
The seed round was led by General Catalyst, with backing from AI Grant and participation from Alexandr Wang, Recorded Future, and other investors and operators.
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GeoSpy 101: AI Image Geolocation, Explained
What GeoSpy is, how visual geolocation works, and how it evolved into Raven by Graylark.
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Raven is available to verified agencies and investigative teams.
