Shofo is building the largest index of videos.
AI labs require massive, high-quality video data to train multimodal models, but clean, custom video datasets cost millions and take months to collect.
We're building the world's largest library of videos by combining public videos collected from the open web and private videos aggregated from thousands of different sources. Both feed into a single, continuously updating index of billions of videos that we clean, search, and label to build custom datasets for AI teams.
For example, if a lab needs 100K hours of cooking videos featuring hand-object interactions with no scene changes, we query our index, extract the matching subset, and deliver a clean, structured dataset in days.
If you or anyone you know is working with computer vision, we'd love to chat. Reach out at founders@shofo.ai or fill out this form here.
Our team met while building a previous startup called Correkt. Correkt was an AI search engine focused on multimodal content and reached over 40k users before pivoting to become Shofo.
From left to right: Braiden (COO), Alex (CTO), Bryan (CEO), and Andre (Head of AI)
Website: https://www.shofo.ai
Hugging Face: https://huggingface.co/Shofo
Linkedin: https://www.linkedin.com/company/shofoai