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Twelve Labs

Twelve Labs: Empowering developers with powerful video-understanding infrastructure for AI applications.

San Francisco, CA, US🇺🇸
Founded
2021
Accelerator
Techstars logoTechstars2020
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Contents

  1. 01Competitive Strengths
  2. 02Market Outlook
  3. 03Pricing Strategy
  1. 01Competitive Strengths
  2. 02Market Outlook
  3. 03Pricing Strategy

Competitive Advantages

Twelve Labs delivers purpose-built video intelligence far superior to general multimodal LLMs.

Marengo achieves 78.5% composite accuracy with 50x lower latency (0.05s per video second) and 6x more storage-efficient embeddings than competitors like Amazon Nova or Google Vertex. Pegasus excels at long temporal reasoning up to hours, with 13%+ better multimodal prompting than Gemini.

Ultra-low embedding storage at $0.09 per video hour per month enables economical large archives vs thousands for alternatives. Specialized for real production video workflows in media, security, ads.

Source: twelvelabs.io

Market Outlook

Video is emerging as the next frontier for AI intelligence beyond text and images.

Twelve Labs is pioneering the infrastructure to make video searchable, analyzable, and actionable at enterprise scale. Demand grows rapidly in media, sports, security, advertising, and public sector for tools that turn passive footage into strategic data assets.

With recent $100M Series B, the company is positioned to lead the video superintelligence wave as organizations unlock value in massive video libraries.

Source: twelvelabs.io

Pricing Strategy

Twelve Labs pricing is usage-based and highly optimized for large-scale video intelligence workloads with dramatically lower storage costs than general purpose models.

Indexing is a low one-time cost per video. Analysis calls are metered by usage. Long-term embedding storage costs only $0.09 per video hour per month, enabling economic repeated querying of archives compared to thousands charged by alternatives.

Source: twelvelabs.io