Coactive Networks

About Coactive Networks

Coactive AI, established in 2021 by co-founders Cody Coleman and William Gaviria Rojas, operates as an analytics platform specializing in visual content. The company focuses on transforming unstructured image and video data into actionable insights for businesses. Coleman, the CEO, and Gaviria Rojas first met as undergraduate computer science students at MIT, where they witnessed the big data revolution firsthand. The idea for Coactive AI originated from their shared vision of a new data revolution centered around unstructured visual data, a concept they discussed while Gaviria Rojas was moving into a new apartment during the pandemic.

Coleman's background includes a Ph.D. in Computer Science from Stanford and degrees from MIT, along with a personal drive to democratize AI stemming from his challenging upbringing. Gaviria Rojas holds a Ph.D. in Materials Science from Northwestern University and previously worked as a Data Scientist at eBay. Their combined academic and industry experiences at institutions like Google, Pinterest, and Meta shaped their approach to solving the complexities of visual data.

Coactive AI's core offering is its Multimodal Application Platform (MAP), which enables enterprises to search, analyze, and manage large volumes of image and video content without the need for manual metadata tagging. The platform leverages multimodal AI to extract context directly from pixels and audio, allowing both technical and non-technical teams to perform complex queries using natural language. This technology addresses the significant challenge businesses face in managing and utilizing their vast and growing libraries of visual assets, which often remain underutilized due to the difficulty in searching and organizing them. The company's business model is structured as a software-as-a-service (SaaS) platform, primarily targeting enterprise clients in sectors such as media and entertainment, retail, and technology through a direct sales approach. Clients like Fandom and NBC Universal use the platform for a variety of applications, including content discovery, trend analysis, user safety, content moderation, and ad personalization.

The platform's key features allow users to semantically search visual content, automatically generate metadata, and analyze trends within their visual datasets using SQL. For instance, a retailer can quickly find specific product images from millions of assets for a marketing campaign, or a media company can analyze video frames to understand content performance. By automating the process of structuring visual data, Coactive AI helps organizations reduce manual labor, improve workflow efficiency, and unlock new revenue streams from their existing content. The company has secured significant funding to support its growth, raising a total of $44 million over three rounds, including a $30 million Series B in May 2024. This latest round, co-led by Cherryrock Capital and Emerson Collective, brought the company's valuation to $200 million and included participation from previous investors like Andreessen Horowitz and Bessemer Venture Partners.