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:
We're launching the general availability of Jockey today, and it's shaped by what we learned during the research preview. We heard three things loud and clear:
People needed the connectors to work better. The strongest reactions came through Claude and ChatGPT. So we prioritized ChatGPT support for GA and made the MCP experience seamless. If you want to query your library, your chat interface should be the last friction point, not the first.
Builders needed output they could control. Developers told us a black-box "final edit" wasn't what they wanted. They needed structured clips, JSON, artifacts they could manipulate. So we built durable artifacts that can be saved, shared, revoked, or deleted and ensured the API gives you timestamped, actionable output you own, not a render you're stuck with.
Users wanted deep social intelligence, not just basic video search. Creators and marketers kept asking us: "Why is this video trending? What specific hooks are holding attention? What common patterns make these reels go viral?" We listened, and built social intelligence features that analyze video hooks, breakdown visual and audio pacing, and explain what actually works across trending content. We also added social ingestion of URL links from YouTube, TikTok, and Instagram Reels, so users can analyze what's working in the wild and search performance alongside content without having to upload videos. It's a whole new way to deconstruct viral video performance.
Library-level understanding is the point. You point Jockey at thousands of videos and images, and it reasons across all of them, not just one. That's why we built it this way, and why every model upgrade makes it better without you lifting a finger.
If you're building a video app, organizing footage, or trying to find something in thousands of hours of content, Jockey is for you. Try Jockey and let us know you feedback and we will fix it!
S/O for this new launch! keep up the great work, and keep launching
This new launch by @TwelveLabs connects the dots.
Marengo (3.0) launched 10 months ago, ranked among the Top Products of the Day. Pegasus launched 6 months ago (1.5) and 1 week ago (1.6), and again, both ranked among the Top Products of the Day.
S/O to ?makers for their consistency. It pays off. Keep launching.
thanks for the continuous support!
Congrats on the launch! I've always wanted videos to be searchable! Although currently my footage as scattered all over the place. Time to get organized.
@heyitsirenechan time to get organized, exactly! try for free here: playground.twelvelabs.io/get-started
Congrats on the launch! Being able to find specific people and moments across thousands of hours of footage and turn them into shareable clips sounds really useful.
thanks for the support! try it for yourself on the playground at twelvelabs.io
What is the workflow of a standard Claude or ChatGPT, and how big a library does it take before searches become slow?
Additionally, Congratulations @jaelee_ , @aiden_lee7 and team Jockey by TwelveLabs 🚀✌️
@tessak22 thanks for your continuous support, Tessa! you're the best