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Illustration for: TwelveLabs Raises $100M Series B to Build 'Video Superintelligence,' Deepens AWS Partnership
Value Add VC/Pulse/FUNDING$100M

TwelveLabs Raises $100M Series B to Build 'Video Superintelligence,' Deepens AWS Partnership

TwelveLabs closed a $100 million Series B on July 1, co-led by NEA and Naver Ventures with Amazon participating directly, pushing total funding above $200 million. The company builds foundation models that understand video the way humans do, and is expanding from video-understanding models into a full-stack agentic system combining perception, knowledge and reasoning, while committing AWS Trainium as its preferred inference chip.

By the Numbers

$100M Series B
Round Size
>$200M
Total Funding
NEA, Naver Ventures
Lead Investors
Amazon
Strategic Investor
AWS Trainium
Preferred Cloud/Chip
TC
By the Funding Desk
Edited by Trace Cohen ยท Early-stage VC & angel ยท Founder, New York Venture Partners
July 1, 2026
2 min read
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THE RUNDOWN

1

Amazon investing directly while also becoming TwelveLabs' preferred cloud is the same playbook Nvidia used with Together AI โ€” strategic capital plus infrastructure lock-in

2

Video understanding remains one of the least-solved multimodal AI problems, and TwelveLabs is now among the best-capitalized pure-plays in the category

3

The AWS Trainium commitment is a real data point for Amazon's custom silicon strategy competing against Nvidia GPUs on inference cost

4

More than doubling total funding to $200M+ signals investors see enterprise video search and analytics as a durable, budget-worthy category

TC

The VC Read ยท Trace's Take

Trace Cohen

Amazon investing directly in TwelveLabs while locking in AWS Trainium as the preferred inference chip is the exact same strategic-capital playbook Nvidia just ran with Together AI โ€” the infrastructure giants have figured out that owning equity in their highest-usage AI-native customers is more valuable than just selling them compute. Video understanding is genuinely one of the last unsolved multimodal problems, and TwelveLabs going all-in on a foundation-model-first approach instead of bolting video onto a text model is the right technical bet. For founders in media, security or content tooling, this is your infrastructure layer maturing in real time. Watch whether the Trainium optimization actually beats GPU-based video inference on cost โ€” that's the number that determines whether Amazon's custom silicon bet pays off here.

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Analysis

TwelveLabs announced a $100 million Series B on July 1, 2026, co-led by NEA and Naver Ventures with Amazon participating as a strategic investor, pushing the company's cumulative funding above $200 million. Existing backers Radical Ventures, Korea Investment Partners and Index Ventures returned alongside new investors Quadrille Capital and Red Bull Ventures.

TwelveLabs builds foundation models purpose-built for video understanding โ€” models that can search, index and reason across raw video content the way a human reviewer would, rather than relying on manually tagged metadata. The new capital funds an expansion beyond pure video-understanding models into what the company calls a full-stack agentic intelligence system for video, combining perception, retrieval and reasoning into a single architecture that can answer complex, multi-step questions about footage.

The most strategically significant detail is the AWS relationship: TwelveLabs has committed to AWS as its top-priority cloud provider and will optimize video inference to run on Trainium, Amazon's custom AI chip designed to compete with Nvidia GPUs on cost-per-inference. That mirrors the pattern set by Nvidia's direct investment in Together AI just a day earlier โ€” infrastructure providers increasingly writing equity checks into the AI-native companies that will drive utilization of their own custom silicon and cloud services.

The competitive field for video-native AI remains relatively open compared to text and image, with Google's Gemini video capabilities, Runway and a handful of smaller specialists competing for enterprise video-search and content-intelligence budgets. TwelveLabs' focus on foundation models purpose-built for video (rather than a general multimodal model with video bolted on) is its core differentiation, and the Amazon relationship gives it distribution advantages a smaller independent lab would lack.

For founders building anywhere in video, media or content-intelligence tooling, TwelveLabs' funding is a signal that enterprise budget for video-native AI is real and growing, not a hypothetical future category. For LPs tracking the AI infrastructure landscape, the Amazon-TwelveLabs and Nvidia-Together AI investments in the same week both point to the same trend: chip and cloud providers are increasingly taking equity positions in their highest-value AI-native customers.

What to watch: how quickly TwelveLabs' Trainium optimization translates into measurable cost advantages over GPU-based competitors, whether Google or another hyperscaler responds with its own video-foundation-model investment, and whether TwelveLabs' agentic video system finds traction in high-value verticals like media production, security and sports analytics.

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Reported by SiliconANGLE ยท First reported by Bloomberg ยท Analysis by Value Add Pulse.

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@Trace_Cohenยทt@nyvp.com