For cases where being
wrong is expensive.

From fraud and impersonation to misinformation and false insurance claims, teams are forced to make decisions using images with missing or misleading metadata. Oceanir helps teams assess how confident they should be—and why.
Trained on millions of street-level images per region. Returns ranked hypotheses with visual evidence—not single guesses.




Instead of a single answer, Oceanir returns confidence-scored candidate locations with supporting visual evidence that analysts can review.
Try it yourselfEvery verification includes uncertainty bounds, failure mode reporting, and exportable evidence trails—so teams can defend conclusions.
Try it yourself

Instead of single answers, we provide confidence-scored hypotheses, supporting visual evidence, and failure-mode reporting—so teams can defend conclusions.
Request a PilotRanked candidate regions. Matched visual signals analysts can review. Explicit uncertainty scoring. Audit-ready timestamps and metadata. API-first integration.
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API documentation,
integration guides,
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