We just raised $100M here's what we're building
Hey everyone! TwelveLabs just closed a $100M Series B and wanted to share what we're working on for anyone who hasn't come across us before.
We're a video AI company. The core problem we're solving: video is the richest record of reality we have, but machines still can't really understand it. Most systems just convert footage to text and call it a day. We think that's leaving a lot on the table.
Our platform has two main models:
honestly the search is way sharper than i expected, like i threw in a random cooking video and it pulled out the exact moment they mentioned "fold in the eggs" without any tagging. pretty cool to actually see video understanding feel useful
A live collaboration mode where teams can annotate and tag specific video segments together in real time would be huge. Right now analysis feels like a solo task, but most of our video review happens in group settings where marketers, editors, and strategists need to align on what they see.
honestly the search looks solid, but it would be super helpful if you could save and share specific video clips or search results with timestamps baked in. basically a way to send someone straight to the exact moment in the video rather than just linking the whole thing and saying "go to 4:32". that would make it way more useful for team collaboration
The way the search results show exact timestamps with preview thumbnails makes me feel like I'm scanning a real video library, not just a text index. That attention to temporal precision shows serious craft.
Searched a bunch of old vacation clips by typing "sunset over water" and it actually pulled the right moments, which kind of startled me. The natural language search feels way more useful than tagging everything manually.
finally a video ai that actually finds the moment i describe instead of just dumping timestamps. tried it on some old footage and the semantic search picked out exactly the scene i was thinking of.
A browser extension that lets you right-click any video and instantly get a chapter breakdown or summary using your Pegasus model would be huge, especially for longer YouTube content or lectures where I don't always want to scrub manually.