Metadata-Independent Geolocation
Works when Instagram, X, or messaging apps have stripped EXIF data. Pure visual analysis means no GPS coordinates required—just the image itself.
Locate where any photo was taken — no metadata required
GeoInfer analyzes visual cues—landmarks, textures, architecture—to geolocate images without EXIF. Built for investigators, researchers, security teams.
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Experience our AI geolocation technology with sample images from around the world
Precision Tiers
Transparent accuracy levels designed for professional investigative requirements
Public Beta
Global Model
Optimized for regional and city-level identification with 1km–100km accuracy. Ideal for initial geographic assessment and global coverage requirements.
1km – 100km accuracy
- Global coverage
- Fast processing
- No account required
Enterprise
Custom Regional Models
We develop high-precision models for specific geographic areas of interest. Contact our team to discuss meter-level precision requirements for your specific jurisdiction or region.
Meter-level precision
- Custom training
- Dedicated support
- SLA guarantees
Try the Platform
Our production-ready platform is now live. Experience advanced geospatial intelligence through AI-powered image analysis directly in your browser.
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Platform Capabilities
Investigative-grade geolocation that works when metadata is stripped, spoofed, or absent
Trained for Environmental Forensics
Our models identify architectural styles, regional flora, terrain textures, and infrastructure patterns. The AI reads what the camera actually captured—not what metadata claims.
Cross-Continental Intelligence
Effective in denied and remote environments where Street View doesn't exist. From urban centers to undocumented rural areas, coverage extends beyond conventional mapping services.
Investigative Data Sovereignty
Your evidence never trains our public models. Images processed in isolated environments with zero-retention policies available for institutional clients. Full audit trails for chain-of-custody requirements.
High-Throughput Batch Analysis
Process thousands of images in a single workflow. Built for tax agencies, insurance fraud units, and investigative teams handling large evidence sets—not just one photo at a time.
Quantifiable Probability & Error Margins
Every prediction includes an accuracy radius (e.g., 90% confidence within 15km). Court-ready metrics that withstand cross-examination and audit scrutiny.
Built for Professionals
GeoInfer analyzes visual cues—landmarks, textures, architecture—to geolocate images without EXIF. Built for professionals.
Intelligence Analysis
Verify locations in open-source intelligence gathering and threat assessment.
Digital Forensics
Authenticate and geolocate evidence in legal and investigative contexts.
Security Research
Analyze and verify visual content for security and compliance purposes.
Professional geospatial intelligence analysis
Frequently Asked Questions
Common questions about our AI geolocation platform and professional applications
GeoInfer is a professional AI-powered geolocation platform that analyzes photographs to determine where they were taken. Our visual-only inference technology examines visual elements like architecture, terrain, vegetation, and environmental markers to identify geographic locations—without requiring GPS metadata or EXIF data.
Our Global Model (Public Beta) achieves 1km–100km accuracy depending on location characteristics, optimized for regional and city-level identification. We also offer higher precision models for organizations requiring greater accuracy—custom regional models can achieve meter-level precision for specific geographic areas. Contact our team to discuss precision requirements for your jurisdiction.
Yes. GeoInfer is metadata-agnostic, using visual-only inference to determine locations. This makes it effective for investigating images from social media, messaging apps, or any source where GPS data may be stripped, spoofed, or never present. The system analyzes visual content exclusively.
Our platform serves law enforcement agencies, insurance fraud investigators, tax and revenue departments, private investigators, and government agencies. Common applications include digital forensics, claims validation, asset verification, evidence authentication, and investigative journalism.
We are currently on our SOC 2 certification path. For organizations with strict data sovereignty requirements, we offer on-premise deployment options and air-gapped black box solutions—ensuring your data never leaves your systems. For institutional and government users, we do not train on uploaded images. Custom data handling agreements are available for organizations with specific compliance requirements.
GeoInfer provides global coverage with training data from every continent. Accuracy varies by region based on reference imagery density, with urban areas and distinctive locations typically yielding higher precision. For specific jurisdictional requirements, our custom regional models can be trained to optimize performance in your area of interest.
The Global Model is available in public beta for evaluation. For enterprise deployments, custom regional models, API access, or institutional licensing, submit an inquiry through our contact form. We prioritize applications from law enforcement, government agencies, and licensed investigators.
The platform accepts standard image formats including JPEG, PNG, WebP, and HEIC, with a maximum file size of 5MB per image. Higher resolution photos with clear environmental features typically produce more accurate results. For larger files, batch processing, or custom format requirements, contact us—custom solutions are available upon request.
Contact Sales
Discuss your geolocation intelligence requirements with our team. We'll help you find the right solution for your organization.
Phone
+34 684 77 65 99Stay Updated
Keep posted on new capabilities and platform developments.
About us
We're building the future of AI-powered geolocation technology, developing advanced solutions for professionals, investigators, and security teams worldwide.