Raven /Visual intelligence

Turn pixels into leads.

Every Raven search starts the same way: one image or video frame, and a mode that decides how to read it. Where it was taken, what is in it, whether it can be trusted. No metadata required.

Book a demo → Explore the modes

Inside the Raven app

Explore Raven

Five modes. One source image.

Three modes narrow a location, each one picking up where the last left off. Two more read the same frame for what else it can tell you. Choose a mode to see what it takes in and what it hands back.

Select a capability

LocateProgressive

Region, then street, then property. Each step starts from the last one's answer.

Find Region Approximate geolocation, worldwide. Find StreetHighest accuracy Street-level precision in a region. Find PropertyBeta A specific property, inside or out.

AnalyzeSame frame

Run on the same source image, before or after a location search.

Identify Car Make, model, generation, and year. Verify ImageBeta Is the frame real, or generated?

Raven Find Region result: a map of central Texas with five ranked candidates and Austin scored at 90 percent similarity — Result. Austin, Texas at 90% similarity, inside a 15-mile radius — four of five candidates in the same region.

Find RegionWorldwide

Turn a frame with no landmarks and no metadata into a short list of places worth checking.

Input

A single image

Output

Ranked location candidates

Coverage

Worldwide

Explore Find Region

Raven Find Street result: a Las Vegas street map with ten ranked candidates and the top match confirmed at 8982 Lillyhammer Court — Result. Ten ranked addresses inside Las Vegas — top match 8982 Lillyhammer Court, confirmed by the operator.

Find StreetSuperbolt

Once the region is known, narrow it to meter-level candidates and confirm the one that matches.

Input

An image and a region

Output

10 ranked addresses

Coverage

Targeted regions

Explore Find Street

Find Property result in San Francisco: a confirmed candidate pinned on the map beside twenty ranked addresses with similarity scores and property images — Result. An interior frame matched to 1952 Quesada Ave — twenty ranked candidates, each with the property photographs behind it.

Find PropertyProperty Matching

Match an interior or exterior photograph against property imagery in a supported city to name an address.

Input

An interior or exterior image, and a city

Output

Ranked candidate addresses

Coverage

City by city

Explore Find Property

Raven Identify Car workspace: a blurred reference vehicle beside ten ranked candidates, top match Chevrolet Silverado 1500 — Result. Ten ranked candidates from a partial frame — top match Chevrolet Silverado 1500, 2022, at 80% similarity.

Identify CarCarID

Name the vehicle in the frame from partial, obstructed, interior, or exterior views.

Input

A single image

Output

10 ranked vehicle candidates

Status

Available now

Explore Identify Car

A press-style photograph of a person in tactical gear on a street, flagged by Raven as likely AI-generated — Analyzed frame. Flagged likely AI-generated — closest generator at 92%, face-swap signal 2%.

Verify ImageDeepfake

Check whether a frame was generated or manipulated before an investigation acts on it.

Input

A single image

Output

A verdict and its breakdown

Status

Beta preview

Explore Verify Image

A safer world has no blind spots.

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

Book a demo → Talk to sales