Shofo Launches: Common Crawl for Videos
"Millions of hours of video data. Cleaned, segmented, and semantically searchable for AI labs."
TL;DR: Shofo builds complete pipelines that collect, segment, sanitize, and label videos from across social media to curate custom datasets for AI labs.
Founded by Bryan Hong, Andre Braga, Braiden Dishman & Alexzendor Misra
The 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.

❌ The Problem
AI labs need massive video datasets, but high-quality, segmented video data is hard to access.
✅ The Solution
The team started by building the largest index of short-form videos. Then they run an end-to-end pipeline that sanitizes and applies object and activity detection, reasoning, and segmentation to produce custom training datasets for AI labs.
For example, if a lab needs 50k cooking videos featuring hand-object interactions, they query their index, run the results through their labeling pipeline, and deliver a clean, annotated dataset.
Learn More
🌐 Visit www.shofo.ai to learn more.
👉 If you or anyone you know is working with computer vision, the team would love to chat. Reach out to the founders here or fill out this form here.
👣 Follow Shofo on LinkedIn & X.
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