Slidely AI (backed by YC)
GeoInfer is an AI-powered image geolocation platform that determines the location of a photograph from its pixels alone, without relying on EXIF metadata, GPS coordinates, or any embedded location data. The system uses computer vision models to analyze visual features such as landscape, architecture, vegetation, signage, and road markings, and returns location predictions across global coverage in under a second. It is designed for scenarios where metadata is stripped, spoofed, or unavailable, and works in remote and GPS-denied environments.
- Category
- Code
- Pricing
- Freemium
Problem solved
GeoInfer solves the problem of determining where a photo was taken when GPS coordinates and EXIF metadata are missing, stripped, or untrustworthy. It enables visual-only geolocation for forensic analysis, OSINT investigations, fraud detection, and content verification, delivering sub-second predictions with global coverage.
Use cases
- OSINT image verification
- Law enforcement forensic geolocation
- Insurance claim fraud detection
- Investigative journalism source verification
- Government intelligence and border security
- Enterprise API integration for compliance workflows
- Research and NGO location analysis
Audience
- Enterprise
- Developers
- Researchers
- Business Users
- Data Scientists
Pros
- No EXIF or metadata required
- Sub-second inference
- Global coverage including remote areas
- Zero-retention and data sovereignty features
- Batch and API access for integration
Cons
- Global model accuracy at meter level is limited
- Meter-level precision only available through vetted enterprise Pro
- Pro tier is gated for law enforcement, government, and enterprise
- No self-serve on-premise deployment for individual users
- Exact street-level geolocation may not always be achieved
Official website: https://geoinfer.com/en
Canonical LambdaBase page: https://www.lambdabase.com/tools/slidelyaibackedbyyc