About
Coactive builds a Multimodal Application Platform that helps data practitioners and enterprise media organizations search, analyze, and operationalize image and video content. Its differentiation is AI-assisted metadata generation and multimodal understanding, enabling content discovery and workflow automation without extensive manual tagging.
Market
Coactive competes in enterprise multimodal visual-content intelligence and contextual media technology, turning large image, video, and audio libraries into searchable, taggable data for analytics, workflow automation, discovery, and monetization. It positions itself as a full-stack contextual-intelligence layer rather than only a foundation-model or point-API provider, differentiating through model flexibility, domain-specific metadata and analytical queries, a unified intelligence layer, and secure deployment across customer AWS or Azure Kubernetes environments.
Coactive primarily serves enterprise data practitioners—including data scientists and machine-learning engineers—who manage large-scale unstructured visual datasets. Its strongest vertical fit is media and entertainment, retail, publishing, and marketing organizations, with additional users among creative, advertising, and content-operations teams.
At a Glance
Problem
Coactive addresses the operational problem of making large, unstructured image and video libraries usable. Without reliable metadata or semantic understanding, organizations struggle to search, categorize, moderate, analyze, and monetize visual content; the work often requires expensive manual review and tagging. The clearest use cases are content moderation and product-image enrichment: Coactive reports that Fandom reduced time spent moderating content by 74%, while a customer-experience platform increased monthly product-image tagging by 44%.
The economic pain is the gap between the growing volume of visual media and the limited capacity of human teams or generic metadata systems to process it. For media, entertainment, retail, advertising, and other content-heavy businesses, turning raw archives into searchable and trustworthy datasets can improve discovery, automation, and the reuse or monetization of existing content.
Product / Service
Coactive sells a multimodal AI platform, described as a Multimodal Application Platform and a purpose-built SaaS product for content intelligence. It analyzes video, images, and related multimodal content, uses AI to generate searchable and domain-specific context or metadata, and supports semantic search, tagging, visual analysis, and content workflows at scale. Its platform is designed to let users define the concepts they care about rather than relying only on fixed, generic labels.
The delivery model is enterprise-oriented: Coactive can process very large libraries and deploy within a customer's cloud environment, including AWS and Azure Kubernetes environments through a bring-your-own-cloud model. The benefit is a single layer for ingesting and enriching visual data, reducing manual labeling and moderation while making archives easier to search, analyze, and commercialize.
Market
Coactive competes in multimodal AI, visual data analytics, contextual intelligence, and content-intelligence software for media-rich enterprises. Its positioning overlaps with video-intelligence platforms such as TwelveLabs, which also provides multimodal search and understanding across video, vision, audio, and language. Coactive's differentiation is its broader emphasis on image and video libraries, domain-specific context, metadata enrichment, enterprise workflows, and processing at very large scale rather than only point video search.
The company is clearly beyond a pre-revenue or purely experimental stage: it publishes customer outcomes, including Fandom's 74% reduction in moderation hours and a 44% increase in product-image tagging, and announced a $30 million Series B in 2024. Other retrieved company information reports approximately $44 million raised across three rounds. The available evidence demonstrates enterprise traction and substantial investor backing, although it does not provide audited current revenue figures, so revenue scale should not be inferred from third-party estimates alone.
Founders & Leadership
Funding History
Andreessen Horowitz
Andreessen Horowitz, Bessemer Venture Partners
Cherryrock Capital, Emerson Collective
Recent News
Coactive launched Context Studio, an application that helps publishers package, sell, and activate contextual advertising at catalog scale. It supports advertiser-defined contextual targeting and activation through platforms including Google Ad Manager and FreeWheel.
Coactive presented a contextual-advertising approach for turning long-tail streaming inventory into premium opportunities. The article focuses on integrating rich content metadata with existing ad-server and SSP infrastructure to improve CPMs and brand safety.
Coactive published MediaPerf benchmark results for NVIDIA Nemotron 3 Nano Omni. MediaPerf is positioned as an industry benchmark for AI video understanding, covering tasks such as video tagging, summarization, and tag refinement.
NBCUniversal partnered with Coactive AI to scale custom contextual advertising on Peacock. The case study reports improved creative enjoyment, stronger agreement that surrounding content enhanced the brand message, and other operational and commercial gains.
Coactive launched a Media and Entertainment Advisory Board made up of industry experts. The board is intended to help drive AI innovation for optimizing and monetizing large video and image libraries.
Coactive published a research article arguing that the media industry needs stronger benchmarks for evaluating AI systems used with visual content. The article is part of Coactive’s MediaPerf research initiative.
Anyscale reported that Coactive runs its multimodal platform on Anyscale to deliver real-time insights across millions of images and videos. The deployment is associated with faster model deployment, lower processing costs, and a cleaner operating workflow.
Coactive published a product update focused on improving metadata tagging for multimodal content. The announcement followed the company’s MAP Autumn ’25 platform release.
Coactive announced the MAP Autumn ’25 release for content discovery, metadata enrichment, and operations across video, images, and audio. The release claimed 50% higher zero-shot tagging accuracy and up to 60% lower ingestion costs.
Coactive and AWS announced a strategic collaboration to deliver generative-AI solutions for image and video analytics. The collaboration is intended to streamline visual-content analysis for joint customers.
Active Roles
1Business Model
Coactive operates as a B2B SaaS company, monetizing its Multimodal Application Platform through subscriptions and recurring revenue. It sells AI-powered visual-content search, metadata generation, and analytics capabilities to enterprise and media organizations.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Cherryrock Capital, Emerson Collective, Greycroft, Andreessen Horowitz, Bessemer Venture Partners