Coactive Systems, founded in 2021 and based in San Jose, CA, provides an enterprise-grade operating system that uses multimodal AI to manage, categorize, and retrieve visual data such as images and videos without metadata or tags. The system leverages multimodal AI to pull context directly from pixels and audio in content in a highly scalable and secure way. Led by CEO Cody Coleman, Coactive aims to ease the work of data, marketing, and product teams by eliminating manual tagging and labeling. Since launching last year, tech-enabled enterprises including Fortune 500 retailers, media and entertainment companies, and community platforms have used Coactive to build intelligent applications on top of large volumes of unstructured visual content. The company recently raised $30M in a Series B at a $200M valuation. It plans to use the proceeds to expand operations, development efforts, and its business reach. Coactive AI provides an application that helps data teams work with image and video data without requiring specialized machine‑learning skills. It uses pre‑trained models to generate a rough understanding of visual content and a proprietary active‑learning system to develop more specialized visual concepts. Those visual concepts are exposed through standard SQL and API interfaces to power trend analysis, content moderation, search, and other business functions. The platform lets users map analytic workflows to proprietary data and metadata ontologies (for example product catalogs or prohibited‑content lists) and can handle out‑of‑domain data that doesn’t match typical internet image distributions. It accomplishes this while requiring users to manually label only a few example data points, avoiding the need for a dedicated ML‑engineering or data‑labeling team. The company said it will use new funds to expand operations, broaden its business reach, and support development efforts.

Total raised

$44M

Funding rounds

2

Latest round

Series B

Latest activity

May 2024