Coactive AI vs Mixpeek
A side-by-side comparison of Coactive AI and Mixpeek, two Vision tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Coactive AI
VisionMultimodal platform that makes images and video searchable and structured.
View Coactive AIAt a glance
| Attribute | Coactive AI | Mixpeek |
|---|---|---|
| Category | Vision | Vision |
| Pricing (differs) | PAID | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | API, Web |
| Model support (differs) | Self-contained (on-device) | Model-agnostic |
| Vendor (differs) | Coactive AI | Mixpeek |
The honest brief
Coactive AI
Reads meaning straight from pixels and audio, so visual archives become searchable without the manual tagging legacy DAM tools demand.
- Search visual data with no tagging
- Scales to large enterprise archives
- Structures and governs media as data
- Strong investor backing (a16z, Bessemer)
- Enterprise-only, no public pricing
- Not a self-serve or hobbyist tool
- Narrowly focused on visual data
- Onboarding requires sales contact
Mixpeek
One API for cross-modal retrieval over video, audio, images, and documents — joining faces, transcripts, and on-screen text in a single query.
- Searches video, image, audio, and docs
- Extracts faces, scenes, OCR, transcripts
- Hybrid dense/sparse/BM25 retrieval
- Indexes directly from object storage
- Free vector-store tier
- Developer/API-first, not no-code
- Core platform is not open source
- Smaller than general vector DBs