Coactive AI helps enterprises unlock the value of visual data by transforming unstructured images and videos into searchable, insight-rich information. Its AI-powered platform delivers metadata, semantic search, and analytics, enabling businesses to discover patterns, improve efficiency, and maximize the impact of their visual content.
Coactive AI is a powerful tool for businesses to derive useful information from their digital image and video assets, as it is able to automate the generation of metadata and real-time semantic search. This way, companies can process, organize, and get the gist of their visual content in an easy and fast manner by avoiding the use of human tagging or complicated machine learning systems.
The system is built for the media, retail, and digital industries and simplifies the whole process of moderation of content, analysis of trends, and management of assets. The synergy of AI intelligence and human creativity leads to more generous and data-driven decisions for the company and the visual assets to be utilized to their full potential, Coactive AI.
| Legal Name | Coactive Systems Inc. |
| Headquarters | San Jose, California, United States |
| Business Model | B2B |
| Founding Date | 2021 |
| No. of Employees | Approx 30 (As of 2025) |
Coactive Systems offers the Coactive Multimodal AI Platform, Semantic Search, AI-powered Metadata, and Advanced Analytics in its product lineup. Its solutions include content moderation, intelligent content tagging, multimodal data analysis, content operations, ad targeting, high-scale media ingestion, and custom model integration for enterprise visual data workflows.
| Cody Coleman | Co-Founder & Chief Executive Officer |
| Will Gaviria Rojas | Co-Founder |
| Jesper Stroe | Chief Financial Officer |
| Tia Gordon | Head of People |
| Satya Komala | Head of Engineering |
| Josh Heller | Chief Revenue Officer |
| Barbara Lewis | Head of Marketing |
Coactive AI generates revenue through its SaaS platform, helping organizations reduce manual tagging, streamline workflows, and extract actionable insights from visual data.
Client Segments: Media and entertainment organizations, brands with large image and video collections, and companies needing visual content analytics.
Target Companies: Broadcasters, streaming services, e‑commerce platforms, and enterprises managing high volumes of unstructured visual assets.
Target Users: Data science teams, content operations teams, product teams, and media library managers utilizing visual data insights.
Target Geography: Primarily North America, with adoption expanding across global media, retail, and technology sectors.