Twelve Labs is building AI that can analyze and search through videos

Full Article

Twelve Labs is revolutionizing video analysis by developing AI models that can understand and search through video content as effectively as text. Users can leverage these models to pinpoint specific moments in videos, summarize clips, and even ask detailed questions about the content. This innovative approach has garnered significant investment from major tech players like Nvidia, Samsung, and Intel, highlighting the potential of video-centric AI applications.

The company differentiates itself by offering customizable models that allow clients to tailor the AI to their specific data needs. Twelve Labs is also expanding its capabilities into multimodal embeddings, enabling searches across various media types, including images and audio. With a recent $30 million funding boost, the company is poised for growth, aiming to enhance its product offerings and expand into new sectors such as automotive and security.

• Twelve Labs develops AI for advanced video analysis and search capabilities.

• The company has secured $30 million in new funding for expansion.

Key AI Terms Mentioned in this Article

Multimodal Embeddings

Multimodal embeddings capture relationships between different data types, enhancing search capabilities across videos, images, and audio.

Video Understanding Models

These models analyze video content to identify actions, objects, and sounds, enabling detailed searches and insights.

Bias Testing

Bias testing ensures that AI models do not perpetuate harmful stereotypes or inaccuracies in video analysis.

Companies Mentioned in this Article

Twelve Labs

Twelve Labs specializes in AI models that analyze and search video content, offering customizable solutions for various industries.

Nvidia

Nvidia supports Twelve Labs with advanced computing technology, enhancing the performance of their AI models.

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