Coactive is Now on Azure: Visual AI Search, Metadata Tagging, and Analytics, Built for Scale
We’re excited to share that Coactive is now available on Microsoft Azure. Azure customers can easily take advantage of state-of-the-art AI video search and analytics, supercharging advertising, marketing, or content supply chain efforts, while accelerating the speed and reducing the costs of content discovery, content optimization, and content analytics.
Enterprises today are sitting on mountains of unstructured visual content, especially video content. However, making sense of video and image data at scale remains a significant challenge. With hundreds of thousands or millions of minutes of content, or hundreds of thousands of images or more, how can you easily find exactly what you need and make use of what you have?
At Coactive, we’ve been helping leading media & entertainment companies, social platforms, and retailers use AI to intelligently search and understand content, powering use cases such as content discovery, contextual advertising, analytics, and brand trust and safety (content moderation).
AI for Video and Image Content
Understanding and optimizing images are hard. Understanding and optimizing videos are much harder.
Video is long, unstructured, and requires mastering multiple modalities – audio, visual, temporal, textual, etc.. Processing video reliably across varied formats, frame rates, resolutions, and content types is one of the most complex challenges in AI. That’s where Coactive provides its customers with unfair advantages over teams struggling to do this themselves, creating their own media intelligence stack and working with foundation models directly.
We’ve built deep, video-native capabilities into our platform– from efficient frame sampling to multimodal understanding– so that enterprises can quickly and easily extract structured insights from video. With Coactive, you completely skip the struggle of stitching together too many tools or writing complex ML pipelines.
One Embedding Layer, Multiple Use Cases
At the heart of Coactive is a powerful, model-agnostic embedding layer. Instead of running your data through different models for every new use case, we generate a set of high-quality, reusable embeddings that become the foundation for everything else:
- Video and image search
- Content recommendations
- Targeted advertising
- Video and image metadata tagging
- Trust and Safety workflows (Content moderation workflows)
- Custom classification tasks
This architecture gives you the flexibility and efficiency that you need, while future-proofing your AI content strategy from shifts in foundation model performance, since it easily works with a broad range of popular, state-of-the-art foundation models. Start with one use case and expand quickly without reprocessing or rebuilding. Your team gets a single source of truth for your visual data and the freedom to build fast.
Easily and quickly search for key moments in your video archive with Coactive. Find exactly what you’re looking for, even when there is no pre-existing metadata (tags).
Seamless on Azure
With Coactive now live on Azure, customers can deploy close to their data, integrate with services like Azure AI Foundry and Blob Storage, and scale with confidence.
Whether you’re a media platform managing massive video libraries, a retailer optimizing product taxonomies, or a social app moderating user uploads, Coactive brings structure to your visual world, empowering your technical and business teams.
For Developers, Built by Developers
We designed Coactive to feel like infrastructure, both invisible and powerful. No more one-off scripts, manual data prep, or fragile model deployments. Just clean APIs, fast iteration, and full control over your workflows.
Coactive is now live on Azure.
If you're ready to put your visual data to work, let’s talk.
Want to learn more about building applications based on video and image data? Check out the blog, “Multimodal Application Platform: Power your solution with AI for visual content”
