Rapid advancements in multimodal and generative AI are having a marked effect on post-production workflows, enhancing storytelling and helping organizations identify new opportunities for monetization.

In today’s fast-paced media landscape, creating compelling video stories is crucial to keep audiences engaged. AI is transforming the content creation process, enabling faster production, and unlocking new potential sources of revenue.

The Time Challenge in Video Production

Derushing is a notoriously tedious and time-consuming post-production process for editors. We know that it can take as long as five minutes to find just one specific shot in raw video footage, and an entire day to build a highlight reel from a 90-minute football match. This is where cutting-edge multimodal AI-powered solutions are proving to be a game-changer. They offer a level of efficiency that simply isn’t possible with traditional methods. With the help of our award-winning AI, MXT-1.5, iconic German football club and Bundesliga champions Bayer Leverkusen brought its content sourcing time down from hours to just minutes. As shared in this video, it enables the club’s content producers to focus more on creativity and producing exciting video stories to engage their growing follower base.

Boosting Video Accessibility Starts With Quality Metadata

Cloud computing and centralized file repositories have revolutionized content accessibility, making it possible for producers to retrieve the media assets they need and perform their work from different geographic locations. Providing remote and easier access to media assets has a positive impact on collaboration, enabling teams to work together seamlessly to create more impactful stories faster. 

However, making content accessible from any location is only the first step. Scanning through thousands of hours of video to find specific shots remains inefficient without high-quality metadata. One of our U.S.-based customers estimates that without accurate indexing, finding valuable clips among their 200,000 hours of archives would take nearly 100 years. This is where AI-powered indexing shows its true value. Multimodal AI, such as MXT-1.5, is capable of analyzing a video, grouping shots together, and breaking them down into sequences. The technology can also detect and highlight compelling soundbites, and generate human-like descriptions. All of these capabilities make it possible to organize large media libraries and find specific moments.

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Moments Lab’s MXT-1.5: AI Optimized For Audiovisual Media

What makes our patented AI engine unique is its tailored design for analyzing, indexing, and searching videos specific to industries including news, sports, and entertainment. Our AI goes beyond traditional, unimodal capabilities by leveraging multimodal and generative AI to describe each shot, detect faces, texts, logos and patterns, transcribe dialogue, and generate concise media summaries. Through Retrieval-Augmented Generation (RAG), MXT can seamlessly access and interact with entire media libraries, not just individual video files, enhancing the depth and efficiency of content management. For example, MXT-1.5 can quickly compile all of the best fish dishes from episodes of a cooking show, or assemble clips for a documentary from archival footage, offering unprecedented speed and precision in content discovery.

Opening New Revenue Streams

By efficiently analyzing and indexing vast media libraries, AI helps creators uncover hidden gems and repurpose previously overlooked content. What once would have taken decades to sift through can now be done in minutes, unlocking new revenue streams and storytelling possibilities. Our cloud-based Media Marketplace helps customers increase the marketability of their media assets by as much as 50%, creating potential annual revenue of up to US $1 million per 10,000 hours of archive. This demonstrates how AI provides value to businesses not just through enhanced workflows, but significant financial returns.

The Future of Video Storytelling with AI

Our goal for using AI in video production is to streamline the time-consuming content discovery and sourcing process, making it faster and more efficient. MXT reduces content-sourcing time from hours to mere minutes. This significant reduction opens the door to more innovative storytelling, enabling content producers to focus more on their creative vision.

MXT's capabilities lay the foundation for the future of video production, paving the way for prompt-driven experiences for building rough cuts and AI-assisted video creation, offering a more accessible and efficient process than ever before.

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Did you know that MXT-1.5 outperforms leading AI models like GPT-4o, Google Gemini 1.5 Pro, and Nvidia VILA 1.5 in long video understanding? Get the whole story. 

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