[ Section 00 - Introduction ]
Location intelligence should feel like asking a question - not solving a puzzle. We built Oceanir to transform how the world interacts with visual location data.
[ Section 01 - The Core Problem ]
CONTEXT DEFICIT
Every image tells a story. But the most important question - where was this taken? - often goes unanswered. The traditional approach involves hours of manual searching, cross-referencing landmarks against satellite imagery, and hoping for a match that might never come. Even when you find something, there is no confidence score. No verification. Just intuition.
"What if you could just upload an image and get an answer? That is the simple, powerful promise of Oceanir."
[ Section 02 - The Solution ]
VISUAL REASONING
Oceanir uses our Orca model - a city-scale geolocation AI trained to understand urban environments at a granular level. It doesn't just match pixels. It reads the visual language of a place: architectural styles, street furniture, signage patterns, vegetation, even the quality of light.
[ Section 03 - System Capabilities ]
OPERATIONAL PARAMETERS
Ingestion
Rapid processing of high-resolution imagery from any source, including social media, archives, and field reports.
Analysis
Orca processes architectural patterns, signage, and environmental cues to determine probable geolocations.
Confidence
Every prediction includes a verifiable confidence score, allowing operators to assess reliability instantly.
Privacy
Built with privacy-first principles. Data is encrypted, processed securely, and deleted after use.
[ Section 04 - Who We Serve ]
TARGET OPERATORS
Oceanir is built for professionals who work with visual data and need answers fast. Investigators verifying locations. Journalists authenticating user-submitted content. Researchers analyzing visual data at scale.
We believe this technology shouldn't be locked away. It should be accessible, transparent, and powerful.
System Live
Experience the Platform
See how Oceanir transforms visual data into actionable location intelligence.
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