Frontline Visual Intelligence / Raven · RV-001 / 2026.04

From pixels to intelligence.

Raven is Graylark’s frontline visual intelligence platform. It reads pixels, identifies signals, and returns actionable leads in seconds, with no metadata required.

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Raven

Raven Street Targeting narrowing a low-context image to ranked street-level matches

No metadata required. A single image is enough.

Image → Location → Case

Start with an image.
Find where it was taken.

Raven turns visual evidence into ranked geographic leads, then gives investigators the tools to review and develop them.

The starting point: a public Facebook listing post showing a blue sedan parked on a residential street.
  1. 01Source

    Start with an image.

    No coordinates or metadata required.

  2. 02Location

    Narrow the search.

    Ranked geographic candidates appear in seconds.

  3. 03Street

    Verify the location.

    Compare street-level candidates against reference imagery.

  4. 04Case

    One finding among many.

    Imagery, AI results, pins, and notes land on one operational map.

The source: a public listing post showing a blue sedan parked on a residential street. No coordinates, no metadata.
01

What the investigator has. A single listing photograph — the starting point of the whole workflow.

Raven Find Region results: Glendale, Arizona at 72 percent similarity with a ranked list of region candidates and a Refine in Phoenix action.
02

The image becomes geography. Ranked region candidates appear on the map; the source stays pinned beside them.

Side-by-side review: the blue sedan source photo next to street-level imagery of 4226 North 87th Lane, Phoenix — the same house and driveway in both.
03

Why this location is plausible. Each candidate is compared against street-level imagery before anything is filed.

A Raven case workspace: geolocation results, vehicle intelligence, and investigator pins together on one operational map, with sources beside it.
04

One investigation. The reviewed lead joins the case, mapped alongside every other source.

Vehicle intelligence

What car is that?

Make, model, and year — from a cabin snapshot or a blurry security frame.

Explore Vehicle Intelligence →

  1. 01Interior

    Inside counts too.

    A cabin photo most analysts would skip returns the exact make, model, and year.

  2. 02Exterior

    Blurry is enough.

    A security-camera frame — motion blur, low resolution, no plate — still resolves.

Identify Car on an interior view: a casual driver's-seat photograph matched to a McLaren Artura 2025 interior at 90 percent similarity, with ranked candidates.
VI

McLaren Artura, 2025 · 90%. Social photo in, exact cabin out.

Identify Car on a blurry security-camera frame: a low-resolution red SUV matched to a Chrysler Pacifica 2004 at 90 percent similarity, with ranked candidates.
VI

Chrysler Pacifica, 2004 · 90%. Security footage in, ranked candidates out.

Image verification

Can you trust the image?

Surface signals that help investigators assess whether imagery may be manipulated or AI-generated.

The assessment sits beside the photograph: generation likelihood, face-manipulation signals, and per-tool confidence.

Explore Image Verification →

Verify Image analysis: the uploaded photograph beside Raven's assessment — likely AI-generated verdict, face-manipulation signal, and per-generator confidence scores.
VF

Signals, not a verdict. Generation likelihood, face-swap score, and per-tool confidence — one input among several.

Identifier → Public intelligence

Start with an identifier.

Start with an email address or phone number and review associated public account information across supported online services.

Live Intelligence checks the identifier when the search is submitted and returns what is publicly there — accounts, reviews, images, places — pinned to the map. A photograph found on an account can run straight through Find Region and Find Street.

Explore Live Intelligence →

Public account information only — no private access, no messages, no device tracking. Checks run when the search is submitted; every result carries its source and date.

Live Intelligence result: reviewed places for an email address pinned on a map, with public images and sources alongside.
LI

From an identifier to a map. Public accounts, images, and places behind one email address — the on-ramp to geolocation.

Trust & access

Built for verified teams.

Not used for training.

Customer imagery submitted to Raven is not used to train Raven’s models.

Access for verified teams.

Raven is available to verified agencies and investigative teams. Graylark reviews the use case, intended users, deployment requirements, and procurement path.

Documentation on request.

Security, privacy, and procurement documentation can be requested directly from Graylark during an evaluation. See Security & procurement and the Raven FAQ.

Bring us an image.
See what Raven can find.

Raven is available to verified agencies and investigative teams. Book a demo to see it run on your own imagery.

Evaluating Raven for your agency? Read the Raven FAQ for answers on capabilities, accuracy, privacy, and procurement.