The problem
Your image archives keep growing — but findability doesn’t.
- Missing descriptions
- Inconsistent metadata
- Time-consuming manual tagging
The result:
A large portion of your images remains unused.
The solution
AI-powered image search using multimodal LLMs and vector search
Instead of tagging images, simply describe what you’re looking for.
Our technology understands the actual content of images — independent of captions or metadata.
How it works
- Your image archive is automatically indexed
- Users enter a natural language description
- AI retrieves relevant images in seconds
Real-world examples
- “a diver in a coral reef”
- “a pair of elephants in a zoo”
- “a person reading a newspaper in a café”
- “a couple in a sunny café”
- “BMW presentation”
👉 Accurate results — even without metadata
Your benefits
✔️ No manual tagging required
✔️ Works with existing archives
✔️ Highly accurate content-based search
✔️ Results in seconds
Who it’s for
- Publishers
- Image archives
- Media companies
- Content teams with large image libraries
Experience it yourself
Book a short demo (10–30 minutes) and test the search with your own queries, and even upload your own images.
👉 Schedule a demo (pick yourself a date in the calendar)