This started with a simple problem. People had photos and videos, but no reliable way to tell where they were taken without doing hours of manual work.
The core problem
In real investigations, where was this taken? is usually the first question and the slowest one to answer. Teams still compare skylines, road markings, and map tiles by hand. Sometimes it works. Sometimes it burns hours and goes nowhere.
"Upload one image. Get a ranked location answer you can review, not just guess at."
Visual reasoning
Oceanir runs on Orca, our city-scale geo-estimation model. It looks at scene clues like architecture, road furniture, signage, vegetation, and lighting, then returns ranked location candidates with confidence.
System capabilities
Who we serve
We built this for journalists, claims teams, legal reviewers, and analysts who need location answers fast and still need to defend the result.
The goal is simple: shorter workflows, clearer evidence, and fewer dead ends.
Try it on a real image
Run one photo through the platform and review the ranked candidates and confidence output.
Launch Grid
