TwelveLabs
TwelveLabs is a aPI platform for semantic search and reasoning across video.
Analyst Perspective
TwelveLabs is a private US AI software company building infrastructure for video understanding. Its platform converts large volumes of video into searchable, structured data using proprietary multimodal models, then exposes that capability through APIs, SDKs, and a browser-based playground. The platform is designed for developers, machine learning teams, media organisations, and enterprise product teams that need semantic search, indexing, summarisation, and reasoning across video libraries. The business model is B2B software and AI infrastructure. TwelveLabs monetises through usage-based pricing for video indexing and querying, with enterprise contracts for larger deployments, customisation, and flexible deployment models such as cloud, hybrid, and on-premise. Recent funding and strategic backing indicate investor confidence in video-native foundation model infrastructure, but the company is still in a scale-up phase rather than a mature incumbent position.
Analyst Signal Briefing
Updated: 14 Aug 2026TwelveLabs has transitioned from foundation models to application-layer products with the launch of Rodeo, an AI-powered creative copilot, alongside a $100 million Series B funding round co-led by NEA and NAVER Ventures. This capital accelerates its move into agentic video intelligence systems and supports global expansion in London and New York. While maintaining core integrations with Snowflake and Autodesk, TwelveLabs has deepened its strategic partnership with AWS, earning the AI Competency and optimising model inference on Trainium chips to support its Marengo 3.0 and Pegasus 1.5 architectures.
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Key insights about TwelveLabs
Category Differentiation
TwelveLabs is not a video hosting platform, adtech vendor, or media owner. It is a B2B AI infrastructure provider focused on multimodal video understanding, search, and reasoning APIs.
TwelveLabs: About
TwelveLabs creates value by transforming raw video into machine-readable embeddings and semantic representations that enterprises can reuse across search, analytics, summarisation, and downstream application workflows. It sells access to this infrastructure through APIs and SaaS-style tooling, allowing customers to process and query video at scale without building their own multimodal models. Revenue is primarily generated from metered platform usage, with additional enterprise income from custom deployments, fine-tuning, and higher-touch commercial agreements.
How TwelveLabs Works & Monetises
Business model analysis and core revenue streams
The company uses a usage-based software and API pricing model. Customers can begin on a free tier, then pay based on indexed video minutes, infrastructure consumption, embedding generation, and query volumes. For larger customers, TwelveLabs appears to layer in enterprise contracts covering custom model fine-tuning, scaled infrastructure, and tailored deployment environments such as hybrid or on-premise installations.
Revenue Channels
Products & Services in Categories
Verified structural categorizations from the graph
Recent Signals (TwelveLabs)
Same model gives 60 vs 184 days notice
An analysis by AI Change Watch found major AI vendors publish inconsistent model retirement metadata: Anthropic's policy promises at least 60 days' notice (median observed 63 days across 19 retirements), while AWS Bedrock lists a Legacy state of at least six months (median observed 184 days across 17 entries). Google removed previously published shutdown dates from one deprecation page while Google Cloud still showed a retirement date, demonstrating documentation drift and lack of cross-platform coordination. Vendors also differ in how (or whether) they publish recommended replacement models. The author measured rapid SDK release activity across vendors (e.g., anthropic-sdk-python had 21 releases in a 90-day window). The piece argues deprecation pages are changing data that require historical capture and normalization for reliable automation.
Read original sourceTwelveLabs Raises $100M Series B to build the future of video superintelligence
🎉 TwelveLabs Raises $100M Series B to build the future of video superintelligence. Read more.
Read original sourceTwelveLabs Raises $100M Series B for Video Superintelligence
TwelveLabs, a video intelligence company, announced a $100 million Series B round co-led by NEA and NAVER Ventures with participation from Amazon, Radical Ventures, Korea Investment Partners, Index Ventures, Quadrille Capital and Red Bull Ventures. The company is extending beyond video-understanding models into a full-stack, agentic video intelligence system that unites perception, knowledge and reasoning. TwelveLabs highlights its Marengo 3.0 video embedding model and Pegasus 1.5 model for turning video into structured data; both models are distributed via Amazon Bedrock and TwelveLabs’ API. AWS is described as TwelveLabs’ preferred cloud provider with a multiyear partnership that includes optimizing inference on AWS Trainium chips and launching new models first on AWS. The funding will be used to accelerate R&D, expand offices (San Francisco, Seoul, new New York and London offices) and move from foundation models to application-level products like Rodeo.
Read original sourceTwelveLabs: Frequently Asked Questions
What is TwelveLabs?
TwelveLabs is a B2B AI infrastructure company that helps organisations index, search, analyse, and reason over video using multimodal models and APIs.
Who uses TwelveLabs?
Its users are enterprise developers, ML engineers, data teams, media companies, and product teams building video-centric applications and internal workflows.
How does TwelveLabs make money?
It makes money through usage-based API and platform pricing, with additional enterprise contracts for scale, deployment flexibility, and custom model work.
Company Facts
- Founded
- 2021
- Headquarters
- 55 Green Street, San Francisco, CA 94111
- Core Segment
- B2B SaaS Provider
- Company Size
- 10–49
- Official Link
- twelvelabs.io
