Coactive provides a Multimodal AI Platform designed to accelerate content workflows by processing visual assets. The platform automatically generates rich, contextual metadata for videos and images at scale, enabling powerful semantic search and content discovery. This capability allows enterprises to enhance personalization, streamline content moderation, and optimize content performance analysis.
Funding
$44M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ECFounders
Product
Problem
The process of manually tagging unstructured image and video data to generate metadata is slow and expensive. This results in outdated media management systems, underutilization of video archives, and difficulty for marketing teams in finding the visual assets they need.
Solution
Coactive AI provides a multimodal application platform (MAP) that automates metadata generation for visual content using AI, eliminating the need for manual tagging. The platform enables users to search and tag content using natural language, video, images, or a combination thereof. By fine-tuning the AI model to understand domain-specific contexts, businesses can improve content discoverability, gain full visibility into their digital archives, and unlock revenue-generating opportunities. Coactive's MAP offers out-of-the-box capabilities in search, metadata generation, and multimodal analytics, and it allows developers to build custom applications and integrate the platform into existing workflows via APIs and SDKs.
Target Audience
Coactive AI primarily serves content optimization and data science teams within media & entertainment, retail & ecommerce, and online community companies.
Features
- AI-powered metadata enrichment for improved content discovery
- Multimodal prompting: search and tag content using natural language, video, and images
- Semantic engine for understanding domain-specific context
- Multimodal analytics using SQL to create structured outputs from unstructured content
- APIs and SDKs for building custom applications and integrating with existing systems like Digital Asset Management (DAM) and Media Asset Management (MAM) systems
- Cloud-based service accessible through a UX and API
- Modular approach to data privacy and security, decoupling customer IP from models
- Parallelizable infrastructure for preprocessing and optimized embedding storage for cost and performance