The pandemic changed how the world uses video. Where once video meetings were a supplementary tool used by only a few, they quickly became an essential form of communication (and content) used by all. YouTube and other platforms went from simple entertainment tools to essential marketing and information resources. Enterprise video evolved almost overnight from an HR novelty to a critical channel connecting all parts of the business.

Yet while video recordings ensure nothing is lost and everything is available on demand, their utility is lost when they aren’t readily accessible.

Reviewing videos has historically been time-consuming at best and overwhelming at worst. The founders of CLIPr sought to change that. Their goal was to improve video usefulness by leveraging AI to analyze the recorded footage, make all videos searchable, create video summaries and enable business leaders to unlock actionable insights. CLIPr’s mission: to help people quickly catalog and find the most important moments and learnings in any video, transforming the footage from a novelty to a valuable resource.

CLIPr set out to build a video analysis and management (VAM) platform, something that had never previously been built at scale. Their ambitious vision required a team with experience building AI models that had advanced data analysis. Building such a team would take time and resources the startup didn’t have, yet they recognized the need to begin development quickly due to the world’s fast-evolving demands.

The company engaged Sand Technologies to build an elastic and scalable platform that made it easy to find value in any video. The platform used an AI interface that indexed video frame by frame, making the footage searchable and allowing users to quickly find the most useful content.

This AI-based platform then organized the contents, created a summary of the footage and made it easy to identify and share key moments quickly across the enterprise. CLIPr’s tool also made it possible to identify and assign the various topics addressed in each video. These topics, like the footage itself, could then be categorized and searched in broader video libraries.

The experts at Sand Technologies built the platform with a crucial aspect: human-in-the-loop enrichment to “learn” while in use. As users change or improve summaries, the AI model learns from the edits, providing a continuous training loop and making it even more valuable.

With enterprises around the world using more and more video (meetings, webinars and other recordings), CLIPr had developed a product that could help those enterprises optimize, categorize and efficiently archive video content from any source.

As video needs evolved post-pandemic, CLIPr’s versatile platform was able to accommodate the needs of several new industries. For the legal industry, the tool has optimized workflows and reduced the time required for research by accelerating the review of video evidence.

For law-enforcement agencies, CLIPr’s platform can automatically analyze and index body-cam footage, creating written summaries for each recording and capturing more detail about the incident than manual reports. As a result, law-enforcement officers are spending 50% less time behind desks and more time on the streets protecting citizens.

Working with Sand Technologies, CLIPr succeeded in building a scalable, trainable and elastic video analysis and management (VAM) platform that improves the utility of any video content. Using this VAM platform, companies can continue capturing value from ever-growing video sources more efficiently, enabling their business to thrive and grow in new and unexpected ways.