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Nvidia and TCV Invest in Higgsfield AI Video Startup

Naman
Naman
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Oct 23, 2026 10:47 AM
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Nvidia and TCV Invest in Higgsfield AI Video Startup

💡 TL;DR

  • Higgsfield AI video startup secures investment from Nvidia and TCV in Series B extension following $400M August round at $5.4B valuation.
  • Platform reaches 40 million registered users with 10 million paying customers, tracking toward $1 billion annualized revenue run rate.
  • Multi-model platform aggregates 35 AI video generation engines, serving brands and creators for scalable content production workflows.

Higgsfield, the AI video generation startup founded by former Snap executive Alex Mashrabov, has secured strategic investment from Nvidia and growth-stage fund TCV. Officially launched on October 23, 2026, the funding extends the company's August 2026 Series B round that raised $400 million at a $5.4 billion valuation led by DST Global. The announcement coincides with Nvidia CEO Jensen Huang's visit to Kazakhstan, where the majority of Higgsfield's engineering team operates.

Platform Growth and Revenue Trajectory

The San Francisco-based company has reached 40 million registered users, with 10 million paying customers added since the summer fundraising round. Mashrabov reported last month that Higgsfield is on track to surpass $1 billion in annualized revenue based on current performance metrics. The platform positions itself as a specialist service for brands and creators seeking to generate media and content at scale using artificial intelligence.

TCV, which has previously backed Netflix, Spotify, and ByteDance, cited Higgsfield's "radically faster, professional-grade and AI-native mechanism for creators, brand marketers and agencies alike to turn ideas into images and video" as the rationale for its investment. The fund focuses on growth-stage companies demonstrating strong user engagement and market traction.

Multi-Model AI Architecture

Unlike competitors that rely solely on proprietary technology, Higgsfield operates as an aggregation platform providing access to approximately 35 AI video models from various providers alongside its own AI engine. This architecture allows creators to select and combine different models for specific production stages:

  • Storyboarding and concept development
  • Character creation and design
  • Audio generation and synchronization
  • Final video rendering and export

The multi-model approach addresses the fragmented landscape of AI video generation tools, where different engines excel at different tasks. Users can optimize their workflow by matching the appropriate model to each production requirement.

Competitive Landscape and Capital Intensity

AI video generation remains a capital-intensive sector requiring substantial investment in computing infrastructure and talent. China's Kling AI, owned by Kuaishou Technology, raised $2.8 billion at approximately $15 billion valuation this summer. US competitor Runway AI secured $315 million at a $5.3 billion valuation in February 2026, also with Nvidia participation.

Nvidia's strategic investments across multiple AI video startups reflect the chip manufacturer's broader positioning in the generative AI infrastructure market. The company's GPU technology powers the training and inference workloads required for video generation models, creating natural alignment between Nvidia's hardware business and the success of AI video platforms.

What This Means

Higgsfield's ability to attract follow-on investment from Nvidia and TCV validates the commercial viability of AI video generation beyond early adopter enthusiasm. The platform's revenue trajectory and paying customer growth demonstrate that businesses and creators are willing to pay for production-grade AI tools that accelerate content creation workflows. As video becomes the dominant content format across digital platforms, the competition for market share among AI video generation providers will likely intensify, with platform breadth and model performance serving as key differentiators.

About the writer

A growth marketer with varied interests and the proven ability to acquire new skills fast. Currently engrossed in all things AI.

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