Coactive AI’s mission is to unlock the potential of unstructured image and video data for enterprises. The company aims to allow businesses to search, analyze, and derive insights from visual content without requiring pre-existing metadata or extensive technical expertise. Coactive AI’s goal is to make machine learning accessible and empower data practitioners and data-driven teams to work with large volumes of visual data efficiently. This involves providing a platform that can understand visual content contextually, similar to how a human would, identifying elements like objects, actions, and even moods.
Coactive AI is focused on solving the challenge of managing and extracting value from the vast and growing amounts of visual data that companies possess. The company positions its platform as a way to turn this data from a liability or a storage cost into a valuable asset. Market reputation is building around Coactive AI’s ability to automate tasks that were previously manual, time-consuming, and expensive, such as content tagging and moderation. It is recognized for enabling more efficient content discovery, trend analysis, and the creation of intelligent applications based on visual data. Investors have shown confidence in Coactive AI’s approach to a significant market need, particularly for enterprises in sectors like retail, media, and e-commerce.
Offerings, Capabilities, and Integrations
Coactive AI provides a multimodal AI platform designed to search, organize, and analyze visual content such as images and video, even without pre-existing metadata or tags. Coactive AI’s platform is engineered to process and structure large volumes of unstructured visual data, enabling users to extract insights and analytics. This is achieved through capabilities like automated metadata extraction, natural language search, and the ability to analyze visual content at a granular level, including frame by frame analysis of videos. Coactive AI’s competitive edge lies in its ability to make visual content easily searchable and analyzable using AI, which has traditionally been a complex and expensive undertaking. The platform is designed for ease of use for both technical and non-technical users and offers scalability to handle growing visual content libraries. Coactive AI integrates with existing workflows and major cloud platforms like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, and offers APIs and SDKs for custom application development. This reflects on Coactive AI’s reputation as an innovator in making multimodal AI accessible and practical for businesses to unlock the value within their visual assets.
Products and Services
- Multimodal Application Platform (MAP): This is Coactive AI’s core offering. It’s an AI-powered platform that allows businesses to search, analyze, and derive insights from unstructured image and video data. The platform is designed to handle large-scale visual content and make it useful without requiring extensive technical expertise or manual tagging. It consists of three key layers: a pre-processing layer (where visual content is compressed, aligned, and prepped for analysis), a data layer (where visual content is turned into structured data), and a services layer (where developers and data scientists connect to multimodal AI and their existing workflows).
- Content Discovery: This service enhances search capabilities within visual content. Users can search for specific moments, emotions, or objects within images and videos using natural language.
- Content Enrichment (Metadata Generation): Coactive AI automates the tagging and labeling of visual content, creating rich metadata. This allows for better organization and searchability of visual assets. Users can generate metadata using natural language prompts or by providing example images or videos.
- Visual Analytics: The platform enables users to analyze visual content, including tracking trends and understanding content at a granular level. It allows users to query visual data using SQL.
- Content Moderation: Coactive AI offers tools to automate the identification, flagging, and removal of harmful or inappropriate content at scale.
- Personalization: The platform helps deliver targeted content and advertisements by providing a rich, contextual understanding of visual content.
- Intelligent Sampling: A newer feature, Intelligent Sampling, efficiently processes large video datasets by identifying key moments and changes in video content, reducing processing costs and improving the accuracy of search results. This is particularly beneficial for companies with extensive media libraries.
- Custom AI Solutions: Coactive AI provides the ability to fine-tune models for specific, niche content types without requiring pre-training and allows for dynamic adjustment as content evolves.
- Integrations and APIs: Coactive AI offers Python SDKs and REST APIs to integrate its capabilities into existing production workflows and enterprise systems. Coactive AI also partners with cloud providers like AWS, making its platform available on the AWS Marketplace.
The Multimodal Application Platform (MAP) is Coactive AI’s flagship product, underpinning its various services. Intelligent Sampling is a recently highlighted new capability.
Target Customers
Coactive AI targets enterprise companies and organizations that manage significant volumes of visual content. Its solutions are designed for businesses needing to organize, analyze, and utilize visual data at scale. Key market segments include:
- Media & Entertainment: These companies benefit by improving content discovery, monetizing content more effectively, optimizing content performance through detailed analytics, and personalizing recommendations. Coactive AI helps them accelerate sales, marketing, and production workflows by making it easier to find specific assets within vast video libraries.
- Retail and E-commerce: Coactive AI can enhance product discovery through visual search and help analyze user-generated visual content. This allows for better understanding of how products are used and perceived.
- Technology Companies: Firms that deal with large amounts of visual data can leverage Coactive AI for various applications.
- Community Platforms and Social Media: These platforms can use Coactive AI for content moderation to ensure brand trust and safety by identifying and removing harmful content, as well as discovering trending content and valuable brand moments from user-generated content.
- Real Estate: This sector can utilize Coactive AI for analyzing visual data related to properties.
These target customers benefit from Coactive AI’s products and services by being able to unlock the value hidden in their unstructured visual data. This leads to more efficient operations, improved user experiences, enhanced content monetization, better brand safety, and the ability to derive actionable insights that were previously difficult or impossible to obtain. Coactive AI aims to empower data leaders and data-driven teams, regardless of their machine learning expertise, to work more effectively with visual content.
Cloud Integrations and Marketplaces
Coactive AI offers cloud integrations and is present on cloud marketplaces, primarily focusing on Amazon Web Services (AWS).
- Amazon Web Services (AWS) Integration: Coactive AI has a strategic collaboration agreement with AWS. Its platform integrates with AWS services such as Amazon S3 and Amazon Bedrock to streamline image and video analytics. This collaboration allows Coactive AI to pair its artificial intelligence capabilities with AWS’s native features for content discovery, metadata enrichment, and video analytics. Coactive AI’s platform can ingest images and videos from cloud storage like S3. The platform is built on AWS and utilizes services like Amazon Aurora PostgreSQL Serverless and Amazon CloudFront.
- AWS Marketplace: Coactive AI’s platform is available on the AWS Marketplace. This allows AWS customers to procure Coactive AI’s solutions directly through the marketplace, potentially using existing AWS credits for purchases. The availability on AWS Marketplace facilitates easier procurement and management of Coactive AI’s services within a customer’s existing AWS environment.
- Google Cloud Platform (GCP) Integration: While specific product integrations are not detailed as extensively as with AWS, Coactive AI mentions collaborations with cloud service providers, and its platform is designed to be accessible through cloud-based services. Coactive AI’s platform can ingest images and videos from various sources, including general cloud storage.
- Google Cloud Marketplace: There is no specific listing for “Coactive AI” found on the Google Cloud Marketplace based on the provided search URL.
- Microsoft Azure Integration: Coactive AI mentions partnerships with technology providers, including Microsoft Azure, to host its platform and expand accessibility.
- Microsoft Azure Marketplace: There is no specific information found regarding a listing for Coactive AI on the Microsoft Azure Marketplace in the provided search results.
Coactive AI’s platform is designed to integrate with existing workflows and systems, including Digital Asset Management (DAM) and Media Asset Management (MAM) systems, with AWS providing scalable and secure data processing. The platform also allows for data exports to share and integrate visual content data into external data workflows.
Key People
- Co-Founder and CEO: Cody Coleman.
- Co-Founder: Will Gaviria Rojas.
- Head of People: Tia Gordon.
- CFO: Jesper Stroe.
- Chief Revenue Officer: Josh Seltzer.
Key Facts
- Headquarters Location: San Jose, CA, United States. The company also has offices in San Francisco, CA, and Montreal, Quebec.
- Number of Employees: 11-50. Other sources suggest approximately 57-59 employees. Forbes lists 14 employees as of April 2025.
- Annual Revenue: $1M to $10M. One source estimates $3.8M as of May 2025, while another estimates $3.9M. An older source from Q2 2023 mentioned $10 million annually from subscription services.
- Parent Company: None. Coactive AI is a privately held company.
- Subsidiary Companies: None.
- Publicly Listed: No.
Analyst Recognition
Coactive AI has been mentioned in relation to Gartner and Forrester by various third-party sources, primarily in the context of market trends and statistics. For instance, some analyses reference Gartner’s findings on the adoption of cloud-based solutions and machine learning by organizations. Similarly, Forrester Research has been cited regarding the value of visual content. However, based on the available search results, there is no specific, direct recognition of Coactive AI by Gartner, Forrester, IDC, or Everest Group in their formal reports or market categorizations such as Magic Quadrants or Wave reports.
It is important to note that Coactive AI’s website itself, in its “Press & Awards” section, lists recognitions such as being named an “Intelligent Application 40 Rising Star” and a “Forbes Next Billion Dollar Startup 2024”, but these are not attributed to Gartner, Forrester, IDC, or Everest Group.
Therefore, while Coactive AI operates in a space analyzed by these firms, specific inclusion in their dedicated technology category reports or direct analyst endorsements from these four groups (Gartner, Forrester, IDC, Everest Group) are not evident in the provided search results.
