videodb.io valid
VideoDB
VideoDB is an applied research lab for visual intelligence. It builds data infrastructure for video, built to train and deploy visual AI: video primitives (in-house transcoding, frame tiling, real-time ingestion, high-throughput pipelines), machine annotation of whole archives with any model as an analyzer, episode retrieval that returns moments and frames in about 500 ms, and realtime ingestion from thousands of cameras, streams and screens. Underneath is a distributed data format that unlocks
- Authority
- 50 reach 5 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://videodb.io/llms.txt
- llms-full.txt
- https://videodb.io/llms-full.txt
- Sections
- 5
- Links
- 70
- Size
- 19903 bytes
- Popularity rank
- #894922
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:07:39.746Z
- Last checked
- 2026-10-26T06:14:53.102Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T06:14:50.807Z. Cached copy · Source on videodb.io
# VideoDB
> VideoDB is an applied research lab for visual intelligence. It builds data infrastructure for video, built to train and deploy visual AI: video primitives (in-house transcoding, frame tiling, real-time ingestion, high-throughput pipelines), machine annotation of whole archives with any model as an analyzer, episode retrieval that returns moments and frames in about 500 ms, and realtime ingestion from thousands of cameras, streams and screens. Underneath is a distributed data format that unlocks random access to video frames: distributed transcoding, frame extraction and annotation write into it, and a scalable retrieval engine, streaming engine and agent runtime read from it, behind one API, run in VideoDB's cloud or the customer's.
VideoDB exposes the whole site as Markdown alongside the HTML. Every page has a `.md` counterpart at the same path (`/platform` and `/platform.md`, `/blog/<slug>` and `/blog/<slug>.md`). Each HTML page declares this with `<link rel="alternate" type="text/markdown">` in its `<head>`. The whole site is also available concatenated at `/llms-full.txt`.
## Key facts
- What it does: ingest video (files, S3/GCS/Azure buckets, MCAP, LeRobot, RLDS, RTSP cameras, live streams, screen recordings) → transcode once into a frame-addressable form → run any model as an analyzer over distributed pipelines (segmentation, dense captions, events, speech, your own fields) → a persistent, versioned index (episodes, metadata, indexes, scoped to user, agent, workspace or fleet) → retrieve moments and frames in about 500 ms → act: evidence streams (HLS), websocket events, webhooks and tool calls for agents and models.
- The files stay in the customer's storage. VideoDB runs on top, on its own cloud paired with the customer's bucket, or entirely inside the customer's account.
- Scale: 100K+ hours of video annotated in a few days; a 200+ TB customer archive indexed in place; every result carries episode id, timestamp, camera, source type and model version.
- Retrieval quality: the retrieval engine leads on public benchmarks and supports queries other engines cannot; see the technical report "Search over the Visual World" (arXiv 2608.08075).
- Physical AI: you bring a failure, VideoDB runs the training loop that fixes it. Test runs are indexed as they land, agents probe them for failure modes, episode retrieval finds the in-house data that covers each one, more sources are connected when the archive runs out, machine annotation with human QC turns the episodes into training samples, the model is retrained and tested on the same infrastructure, and the failure rate is measured before and after.
- Install: `pip install videodb` (Python) · `npm install videodb` (Node.js) · `npx skills add video-db/skills` (coding agents) · MCP server for Claude, Cursor and other MCP clients.
- Enterprise: SOC 2 Type II, GDPR, ISO 27001, zero data retention options; managed cloud or bring-your-own-cloud.
- Not video generation: VideoDB is video data
…Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| fastpix.com | FastPix | interface AI and machine learning APIs and SDKs +2 | US | 51 | ✓ | ||
| lancedb.com | LanceDB | interface AI and machine learning Data and analytics | US | 57 | ✓ | ||
| valossa.com | Valossa — Video AI Technology | informational AI and machine learning Media | FI | 46 | ✓ | ||
| visla.us | llms.txt - Visla: The AI-Powered Enterprise Video Productivity Platform | informational AI and machine learning Productivity +1 | US | 48 | ✓ | ||
| memories.ai | Memories.ai | informational AI and machine learning Media | — | 45 | ✓ | ||
| datature.io | Datature | documentation AI and machine learning Developer tools | US | 48 | ✓ | ||
| eyepop.ai | EyePop.ai | interface AI and machine learning APIs and SDKs +1 | US | 52 | ✓ | ||
| twelvelabs.io | TwelveLabs | interface AI and machine learning APIs and SDKs | NL | 56 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=videodb.io · GET /v1/domain/videodb.io · this page as Accept: application/json or text/markdown · MCP lookup_domain
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