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Cosmos

AI-powered archive search and reel curation for video production companies.

Enterprise· Contact salesRAG6.6 / 10
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In short

Cosmos helps video production studios mine their back catalogs using AI-driven search and multi-facet filtering. It allows sales teams to assemble curated reels and share them via links without requiring prospect logins, streamlining the pitch process for mid-to-large production shops.

Best for

Pick Cosmos if you run a mid-to-large video production company and your sales team loses deals because nobody can find the right past project fast enough.

Skip if

Skip it if you're a freelancer, a non-video creative shop, or you need a general-purpose DAM with broad integrations and self-serve pricing.

Cosmos is a vertical-specific search and curation platform built for video production studios that need to mine their back catalog. The pitch is straightforward: sales teams can stack filters across industry, format, client, deliverable, style, year, team, and length to surface relevant past work, then assemble a curated reel and send a prospect a single shareable link, no download or login required. AI sits underneath the indexing and retrieval layer, doing the work of making a sprawling archive of footage and finished projects actually findable.

The differentiator is workflow, not raw model horsepower. Cosmos splits responsibilities so post-production controls what gets ingested and exposed while sales gets self-serve access to that pre-approved library—a small but important governance pattern for studios where archive sprawl, NDA-bound clips, and rough cuts all live next to deliverable masters. Pricing isn't published, which usually means sales-led contracts sized to studio headcount or library volume. Listed customers include Lemonlight, Volo Sports, and Wheelhouse, suggesting it's aimed squarely at mid-to-large production shops rather than freelancers.

There's no public mention of an API, model details, or a self-serve trial, so this is firmly a 'book a demo' product. If you run a studio whose pitches keep dying because nobody can find the relevant case study clip in time, that's the use case it's built for.

Editor's take

Cosmos is a tightly-scoped vertical AI play: archive search plus reel assembly for one industry that genuinely needs it. The lack of public pricing and API docs makes it hard to evaluate without a demo, but the customer list is credible and the workflow split between post and sales is the kind of detail you only get right if you've actually worked with studios.

— The AI Tool Bible editorial team

Pros

  • Purpose-built for production studio archives, not a generic DAM
  • Multi-facet filtering (industry, format, client, style, length, etc.)
  • Shareable prospect-facing reel links with no login required
  • Governance split between post (indexing) and sales (access)

Cons

  • ⚠️ No public pricing; sales-led only
  • ⚠️ No documented API or integrations on the landing page
  • ⚠️ Narrow vertical—useless outside video production

Use cases

video archive searchsales enablementreel curationmedia asset retrieval

Frequently asked

Who is Cosmos designed for?
Cosmos is built for mid-to-large video production companies that need to manage large archives. It is specifically aimed at studios where sales teams need to quickly find relevant past work to close deals.
How does Cosmos handle access control and governance?
The platform splits responsibilities so that post-production controls what content is ingested and exposed, while sales teams get self-serve access to that pre-approved library. This governance pattern helps manage NDA-bound clips and rough cuts alongside deliverable masters.
Can prospects view reels without creating an account?
Yes, sales teams can assemble a curated reel and send a prospect a single shareable link. This process requires no download or login from the prospect's side.
Is there a public API or free trial available?
No, there is no public mention of an API or a self-serve trial. The product is sales-led, requiring users to contact sales for pricing and a demo.

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