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Upload a photo.
We tell you where it was taken.

Oceanir Platform

The Product

Geo-estimation and scene modeling for teams that need answers quickly.

Upload an image and Oceanir estimates where it was taken. No GPS and no metadata required. You get ranked options, confidence context, and visual proof in seconds.

[Explore workflow]

Phase 1

01:   The Numbers
Upload an image and Oceanir estimates where it was taken. No GPS and no metadata required. You get ranked options, confidence context, and visual proof in seconds.
Street-LevelGeo-Estimation Precision
<10sInference Time
$1-$4Stingray Cost
01:Analysis
02:Workflow
03:Evidence

Phase 2

02:   How It Works
01Upload a single image for location estimation.
02Review ranked candidates, confidence, and visual cues.
03Optionally upload multiple images for Stingray scene modeling.
04Export findings into investigative or enterprise workflows.
Try It Now

Phase 3

03:   Use Cases
Geo-Estimation
AI trained on millions of street-level images matches buildings, signs, roads, and context against learned geography.
Stingray Scene Modeling
Gaussian Splatting stitches multi-image sets into a photorealistic 3D scene you can explore from any angle.
Evidence Verification
Support analyst decisions with confidence-ranked options instead of single-answer black-box output.
Operational Decision Support
Use visual intelligence for conflict mapping, incident triage, fraud prevention, and investigative workflows.
JournalistsLaw enforcementSecurity analystsInsurance and fraud teams

Evaluate Oceanir on your workflow

Book a walkthrough for geo-estimation, Stingray, and enterprise integration options.

Start a project
Value Upfront
Results Follow

Why Oceanir

Search engines find known copies. Oceanir estimates where a new image was captured.

FAQ

All Solutions

Oceanir geolocates images from visual information alone and returns ranked location candidates with confidence and evidence.

The model is trained on large-scale street imagery and reasons over visual structures such as roads, architecture, and signage.

Miami, San Francisco, and Lisbon are currently live. A new global model is in rollout.

Oceanir verifies location context, not identity. No facial recognition and no long-term storage by default.

Market

  • Primary users include journalists, law enforcement, security analysts, and defense/government teams.
  • Adjacent users include platform integrity teams and missing-person investigators.
  • The workflow competes most directly with manual geo-estimation that can take hours per image.

Traction

  • Around 4,000 monthly active users with zero paid marketing.
  • Paid pilots and organic inbound demand are already in motion.
  • Product is live at oceanir.ai and iterating rapidly.

Build + Economics

  • Geo-Estimation cost profile is approximately $0.43 per analysis.
  • Stingray scene modeling runs at higher compute, typically $1-$4 per scene.
  • Pricing separates Stingray from baseline geo-estimation to protect margins.

Questions For Investor Calls

  • How does the program work day-to-day and what is the real time commitment?
  • What is the investment structure: instrument, valuation process, and ownership impact?
  • Are there restrictions on raising independent capital in parallel?
  • Which introductions can be made across journalism, law enforcement, and defense buyers?
  • Are there IP assignment, exclusivity, or non-compete clauses?
Oceanir

Have a pilot or live case in mind?

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  • Retail & Grocery
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Media & Legal

  • Journalism
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  • All solutions

By Use Case

  • 01
    Crime Scene AnalysisGeo + Property workflow
  • 02
    Vehicle RecoveryStingray + Geo workflow
  • 03
    Claim VerificationGeo + Property workflow
  • 04
    Missing PersonsGeo-estimation workflow
  • 05
    Organized Retail CrimeStingray + Geo workflow
  • 06
    Media AuthenticationGeo-estimation workflow

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