Nearly a decade in the making, our proprietary advances in computer vision and geographic modeling turn raw pixels into a powerful solution for location verification.
We've developed novel embedding spaces, spatial clustering algorithms, and reasoning engines to ensure our technology overcomes historical limitations of the geolocation category. Oceanir matches the promise of AI performance with rigorous accountability.
Built to see carefully.
Read our manifesto to see how we define depth-3 geolocation: rigorous, auditable, and accountable.

Oceanir reads visible scene details, identifies signals, and returns evidence-backed location checks — no metadata required. The Orca model decomposes the frame into vegetation, architecture, road surface, sky gradient, and signage, then ranks defensible location candidates from those signals.
Three depth levels scale the analysis. D1 reads the environment — road markings, signage, building styles — to return a region. D2 adds extended visual references and a second-pass cross-check for local precision. D3 runs full visual matching with keypoint verification for property-level workflows where that precision is requested. Every depth produces ranked candidates with confidence scores, not a single black-box pin.
What would take hours of manual review returns as structured evidence in seconds. Fragments in. Evidence out.
Embedding Spaces · Spatial Clustering
Oceanir는 장소, 부동산, 차량, 위치 주장과 관련된 시각 증거를 검증합니다. 사람 검색, 신원 대조, 개인 추적을 위한 제품이 아닙니다.