Cloudglue
Video-as-data platform: turns video libraries into structured context for AI
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At a glance
What it does
A developer API that indexes video content for AI agents, e.g. Tinycloud AI can summarize or search across hours of recordings.
Detailed overview
AI systems struggle to "understand" or query video content effectively (e.g. QA across many hours of footage). Cloudglue provides a "video context layer" API and agent: it auto-indexes video transcripts, slides, actions, and more, allowing LLMs to query or build over entire collections. The Tinycloud AI agent can answer questions or generate dashboards from your video corpus, making video contents as queryable as text. It's developer-focused (not mainstream) and new (YC S24), with limited public awareness but a strong concept for AI pipelines. Built for AI developers, research teams, and enterprises with large video libraries (sales calls, webinars). It just launched the Tinycloud public beta (July 2026) after a closed alpha; the team actively posts updates, and the YC listing confirms "Active" (Summer 2024).
Key features
- Indexes transcripts, slides and actions
- Query entire video collections with LLMs
- Tinycloud agent answers + builds dashboards
- Video-context-layer developer API
Who it's for
Best suited for developers looking for ai video tools. Video-as-data platform: turns video libraries into structured context for AI
Tags
More AI Video tools
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