Key Takeaways
- • Twelve Labs closed a $100 million Series B funding round co-led by NEA Management and Naver Ventures, with participation from Amazon, Radical Ventures, Index Ventures, and Korea Investment Partners, positioning the startup to accelerate development of multimodal video AI technology.
- • Amazon secured a multiyear contract with Twelve Labs to host the startup's workloads on AWS Trainium chips, with new models debuting on the platform for developers building AI applications, signaling deep integration between the companies.
- • The round represents a strategic expansion for Twelve Labs, which is transitioning from selling standalone AI models to building a full platform capable of reasoning across video archives—a shift that addresses enterprise demand for comprehensive video intelligence infrastructure.
- • Nvidia-backed Twelve Labs strengthens its competitive position in the video AI market as Amazon doubles down on AI infrastructure investment, with the company planning approximately $200 billion in capital expenditures for 2026.
Summary
Twelve Labs, an Nvidia-backed artificial intelligence startup specializing in video search and analysis, has raised $100 million in Series B funding, according to Bloomberg. The round was co-led by NEA Management Co. and Naver Ventures, with significant participation from Amazon.com Inc., Radical Ventures, Index Ventures, and Korea Investment Partners Co.
The funding underscores growing institutional confidence in video-based AI applications and reflects Amazon's strategic commitment to the space. As part of the investment, AWS—Amazon's cloud services division—has signed a multiyear contract to host Twelve Labs' workloads on Trainium chips, Amazon's custom silicon for machine learning. The agreement includes integration of new Twelve Labs models into AWS, enabling third-party developers to build AI applications using the platform.
Twelve Labs, led by CEO Jae Lee, is pivoting from a model-licensing business to offering a comprehensive platform that can reason across large video archives. This transition addresses a market need for enterprise-grade video intelligence infrastructure capable of semantic search, classification, and analysis at scale. The shift positions the company to serve larger customers with complex video management and analysis requirements across diverse use cases.
The investment reflects broader industry momentum in multimodal AI—systems that process and understand multiple data types, particularly video combined with other formats. Amazon's participation and infrastructure commitment demonstrate how large cloud providers are integrating specialized AI startups into their platforms to enhance competitive offerings. The AWS hosting arrangement and Trainium chip integration create a production pathway for Twelve Labs' technology while strengthening Amazon's AI capabilities across its enterprise customer base.
The funding underscores growing institutional confidence in video-based AI applications and reflects Amazon's strategic commitment to the space. As part of the investment, AWS—Amazon's cloud services division—has signed a multiyear contract to host Twelve Labs' workloads on Trainium chips, Amazon's custom silicon for machine learning. The agreement includes integration of new Twelve Labs models into AWS, enabling third-party developers to build AI applications using the platform.
Twelve Labs, led by CEO Jae Lee, is pivoting from a model-licensing business to offering a comprehensive platform that can reason across large video archives. This transition addresses a market need for enterprise-grade video intelligence infrastructure capable of semantic search, classification, and analysis at scale. The shift positions the company to serve larger customers with complex video management and analysis requirements across diverse use cases.
The investment reflects broader industry momentum in multimodal AI—systems that process and understand multiple data types, particularly video combined with other formats. Amazon's participation and infrastructure commitment demonstrate how large cloud providers are integrating specialized AI startups into their platforms to enhance competitive offerings. The AWS hosting arrangement and Trainium chip integration create a production pathway for Twelve Labs' technology while strengthening Amazon's AI capabilities across its enterprise customer base.
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