# Twelve Labs Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/twelve-labs
> Markdown URL: https://aitinkerers.org/technologies/twelve-labs.md
> Technology record last updated: 2026-03-11T13:03:31Z
> Generated: 2026-09-23T05:36:48Z

Multimodal AI platform providing APIs for instant, natural language search and deep understanding across petabytes of video data.

Twelve Labs delivers video-native AI models (Marengo and Pegasus) to unlock the full value of video archives for enterprises and developers. The core technology, including the Pegasus-1 video-language model, offers powerful APIs for search, summarization, and analysis, allowing users to pinpoint exact moments in massive video libraries using natural language queries. This capability drastically reduces content workflows: one customer, MLSE, cut their content ingestion time from 16 hours to just 9 minutes. We handle petabytes of data, providing the essential building blocks (embeddings, video-to-text generation) for next-generation video intelligence applications.

- Official technology site: https://www.twelvelabs.io/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Easy indexing of NASCAR archived footage](https://seattle.aitinkerers.org/talks/rsvp_-X1ysKvGvHA)

I'm excited to show off what I've been doing but actually, I'm looking for feedback and advice. The last time I did this I worked on Bing Image and Video search and it was a custom pipeline and mostly we just wanted to find video clips, not really search within them for specific scenes. For NASCAR I need a low-cost rapid way to index race footage for a project I'm working on. So far, I have used Amazon Rekognition and Twelve Labs. I will demo both but if someone in the group has experience using these or other off the shelf indexing tools and integrating into Media Asset Management solutions I'd love to connect.

- Event context: October Meetup - Science Fair at Foundations — 2025-10-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_-X1ysKvGvHA

### [Make Video Just as Easy as Text: Introduction to Twelve Labs Video Foundation Model](https://sf.aitinkerers.org/talks/rsvp_mWAtc7EvDtg)

Twelve Labs has been developing a general purpose video foundation model to enable multimodal, contextual video understanding so video can be as easy as text.

- Event context: 🤖🔄🧠 AI Tinkerers SF - August Meetup — 2023-08-10 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_mWAtc7EvDtg

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- [Multimodal Models](https://aitinkerers.org/technologies/multimodal-models) ([Markdown](https://aitinkerers.org/technologies/multimodal-models.md)) — 6 public demos
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