TwelveLabs & TrackIt - AI Video Search, Highlight Generation, Compliance

As video libraries grow, it's becoming increasingly difficult to manage with just manual tags and basic file names. TrackIt and TwelveLabs provide a simple way to make your video content searchable and useful. By using advanced models on Amazon Bedrock, our system "sees" and "hears" video just like a person would, allowing you to find clips based on visual actions, sounds, or even text on screen.

• Better Video Search (MAM): Instead of clicking through folders, you can type a description like "a drone shot of a city at sunset" and find that exact moment across thousands of hours of footage. This plugs directly into your Media Asset Management (MAM) system.
• Automatic Highlights: Save hours in the edit suite. The system can automatically identify high-energy moments or key actions in raw footage, helping you pull together sizzle reels and social media clips in a fraction of the usual time.
• Safety and Compliance: Protect your brand by automatically flagging content that doesn't meet your guidelines or regulatory requirements. It can also track logo placements and brand presence that traditional text-based tools miss.

The technical setup is built for speed and security on AWS. We use Amazon Bedrock to run the AI models and Amazon OpenSearch Service to index the data, ensuring your searches are near-instant. TrackIt handles the full implementation, making sure the system is secure, scales with your library, and fits perfectly into your existing production or marketing pipeline.