Coactive AI
Makes image and video libraries searchable without metadata or tags
Overview
Coactive is a multimodal AI platform that indexes images, video and audio by their content, letting teams search and analyse large visual archives without relying on filenames, tags or manual metadata. The company raised a $30M Series B in March 2026 and holds a strategic collaboration agreement with AWS.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 4 Sep 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Multimodal indexing across image, video and audio
- Custom concept definition
- AWS deployment path
Use cases
What you can produce with Coactive AI
- Search a video and image archive by what appears in the footage rather than by filename or tag
- Index visual libraries that were never tagged, without paying for retrospective manual labelling
- Define custom concepts for your own domain and apply them across an entire archive
- Analyse visual content at scale to answer questions the existing metadata cannot
- Route moderation and compliance review by content rather than by human triage queue
- Deploy through an existing AWS relationship under the companies’ strategic collaboration agreement
Coactive is for organisations sitting on archives they cannot search. Indexing image, video and audio by content, plus the ability to define concepts specific to your own domain, solves a problem that retrospective tagging cannot solve at scale — and the March 2026 Series B and the AWS agreement suggest buyers agree.
It is enterprise-shaped throughout. Quote-only pricing, a sales cycle, and value proportional to how much unsearchable material you already own. If you want to add labels to a video pipeline, a per-minute annotation API is the right size of tool and this is not.
What people say
Coactive sells against a specific and very common failure: an organisation has decades of video and imagery, and can only find things in it by whatever somebody typed into a filename years ago. Retrospective tagging is priced out of existence at archive scale, so the material sits there effectively unsearchable. Coactive indexes the content itself — image, video and audio — so the archive becomes queryable without metadata ever having existed.
The company has the funding profile of something working. A $30 million Series B closed in March 2026, co-led by Cherryrock Capital in its first investment and Emerson Collective, with Greycroft, Andreessen Horowitz, Bessemer and Exceptional Capital participating, and a strategic collaboration agreement with AWS gives it a deployment path into accounts that already buy that way. Media companies and retailers are the natural buyers, and the concept-definition feature — teaching the platform categories specific to your own domain — is the part that separates it from generic vision APIs that only know the labels they were trained on.
The honest caveats are commercial rather than technical. Pricing is quote-only, which in practice means enterprise-scale commitments and a sales cycle; there is no way to try this on a small archive and decide. It is a platform rather than an API you drop into a weekend project, and the value is proportional to how much unsearchable visual material you already own. A team with a few thousand assets does not need it.
Read it as the enterprise end of a market whose developer end is served by per-minute annotation APIs. If the problem is a large archive nobody can search and the budget is real, this is a serious answer. If the problem is adding labels to a video pipeline, it is the wrong size of tool.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Coactive AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Coactive AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Coactive AI directly →
Spotted something out of date? Suggest an update →
Alternatives to Coactive AI
More in Research & Data
