Coactive AI provides a Multimodal Application Platform (MAP) that unlocks analytics and insights from unstructured image and video data. Its platform enables users to search, analyze, and monetize visual content without requiring metadata or tags, leveraging multimodal AI. The company has raised $44M in funding and serves enterprises looking to structure their visual data for AI-powered use cases.
The contextual intelligence layer for modern media.
Turn campaign strategy into activation-ready contextual packages.
Turn your content into contextual ad inventory.
Eliminate manual tagging from production and publishing pipelines.
Identify and flag harmful content at the moment, scene, and video level – based on your unique brand and community guidelines.
Reach the right viewers by translating what they watch into scalable, sellable audience-aligned inventory.
For media companies and publishers: turn your library into sellable contextual inventory, streamline content operations, and personalize at depth.
For agencies and brands: define context in your language, plan against real moments, verify suitability, and measure what your spend actually ran against.
Coactive AI partnered with Fandom to implement AI solutions for categorizing and filtering images. This deployment resulted in a 74% reduction in the hours Fandom spent moderating content.
