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DeFi

Twelve Labs Secures $100M to Expand AI Video Models Through AWS Partnership

Twelve Labs secured $100 million to expand video AI capabilities. Amazon Web Services will host Trainium infrastructure supporting advanced models. Funding will accelerate enterprise growth a

AnonymousCryptoCompass newsroom
July 1, 2026
3 min read
NEWS
Twelve Labs Secures $100M to Expand AI Video Models Through AWS Partnership
CryptoCompass editorial visual for defi coverage.
  • Twelve Labs secured $100 million to expand video AI capabilities.
  • Amazon Web Services will host Trainium infrastructure supporting advanced models.
  • Funding will accelerate enterprise growth and product development globally ahead.

Artificial intelligence startup Twelve Labs has secured $100 million in Series B funding to accelerate the development of its video-focused AI models. According to Crypto Briefing, the investment attracted support from Amazon, NEA, Naver Ventures, Radical Ventures, Index Ventures, Korea Investment Partners, and several other investors. The funding also strengthens the company’s long-term collaboration with Amazon Web Services as demand for enterprise AI continues to grow.

Founded in 2021 and headquartered in San Francisco, Twelve Labs develops multimodal foundation models that help computers search, understand, and analyze video content. The company focuses on enabling organizations to extract valuable insights from large video archives through AI-powered search, reasoning, and automation.

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AWS partnership supports larger AI infrastructure

Alongside the funding announcement, Twelve Labs confirmed a multi-year agreement with Amazon Web Services. Under the partnership, AWS will host the company’s AI workloads using its Trainium chips, which were designed for large-scale machine learning applications.

Additionally, Twelve Labs will make its latest AI models available through AWS, allowing developers to integrate advanced video understanding capabilities into their own applications. This arrangement gives the startup greater computing capacity while expanding AWS’ portfolio of enterprise AI services.

Moreover, the partnership reflects the growing demand for specialized infrastructure as artificial intelligence companies continue building increasingly sophisticated models. Reliable computing resources have become essential for training systems capable of processing complex video data at scale.

Prior to this financing round, Twelve Labs raised $50 million in Series A funding during 2024. That investment was co-led by NEA and NVIDIA’s NVentures, with participation from Index Ventures, Radical Ventures, and Korea Investment Partners.

Funding strengthens push into enterprise video intelligence

The latest investment provides Twelve Labs with additional resources to expand research, improve its foundation models, and scale commercial operations. The company aims to become the intelligence layer for video by helping businesses organize and understand growing volumes of recorded content.

Instead of relying on manual tagging, its AI models analyze scenes, spoken conversations, actions, and contextual relationships within videos. Consequently, organizations can locate specific moments faster while automating video-based workflows across multiple industries. Businesses are producing larger video libraries each year through security systems, media production, customer support, and internal operations. Therefore, demand continues increasing for AI tools that simplify video search and analysis without extensive manual work.

Besides expanding its technology, Twelve Labs is expected to use the new funding to strengthen product development and meet rising customer demand. The AWS partnership also provides the infrastructure needed to support larger AI training workloads as the company broadens its enterprise reach.

Conclusion

The $100 million Series B funding marks another major milestone for Twelve Labs as it expands its AI video platform. With new capital and a deeper partnership with AWS, the company is positioning itself to meet growing enterprise demand for intelligent video analysis and automation.

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