TwelveLabs
API platform for semantic search and reasoning across video.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- TwelveLabs, Inc.
- Entity type
- COMPANY
- Founded
- 2021
- Headquarters
- 55 Green Street, San Francisco, CA 94111
- Company size
- 10–49
- Market role
- B2B SaaS Provider
- Official website
- twelvelabs.io
What TwelveLabs does
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.
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.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
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.
Company news briefing
Briefing updated:
Following its $100 million Series B funding, TwelveLabs has advanced its video intelligence ecosystem with the release of Marengo 3.5 and the general availability of Compliance by TwelveLabs for automated video screening. Additionally, the company integrated its Marengo video model into Amazon Bedrock Knowledge Base to enable managed semantic video search on AWS, expanding its enterprise distribution and application-layer capabilities.
Business model & monetisation
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 layers in enterprise contracts covering custom model fine-tuning, scaled infrastructure, and tailored deployment environments such as hybrid or on-premise installations.
- API and platform usage fees
- Pay-per-use pricing for indexing, embeddings and query volume
- Enterprise platform contracts
- Committed software subscriptions or custom commercial agreements
- Custom model fine-tuning and large-scale deployment fees
- Enterprise add-on services and infrastructure charges
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
TwelveLabs Marengo Now in Amazon Bedrock Knowledge Base
AI/ML · Recorded impact score: 4/5
TwelveLabs announced that its Marengo video model is now available as an embedding model inside Amazon Bedrock Managed Knowledge Base. This integration enables managed semantic video search on AWS, allowing customers to search video by meaning using natural language without building custom infrastructure. The service handles ingestion, indexing, and search automatically, with no vector database to provision. Customers can connect their video sources like Amazon S3 and search across visual scenes, speech, and audio. The solution supports metadata filters and keeps data within the customer's AWS account for regulated industries. Joint customer Iconik, a media asset management platform from Backlight, is among the first to use the integration, making semantic search a native capability. Iconik also became TwelveLabs' first Premier Tier ecosystem partner.
- TwelveLabs' Marengo model is now available as an embedding model in Amazon Bedrock Managed Knowledge Base.
- Customers can search video, audio, and images using natural language without building custom pipelines or managing vector databases.
Marengo 3.5: Precision & Control for Frontier Video Intelligence
Recorded impact score: 4/5
New blog post announcing Marengo 3.5, a frontier video intelligence model, along with posts on Compliance by TwelveLabs and a partnership with Quickplay.
TwelveLabs Launches Compliance App for Video Screening
Content Moderation · Recorded impact score: 3/5
TwelveLabs, a video intelligence company, announced the general availability of Compliance by TwelveLabs, a new SaaS solution for media, entertainment, and broadcast teams to screen video content against regional and custom compliance standards. The tool uses AI to identify potential violations with supporting rationale, reducing review time from a week to minutes for a two-hour master. It integrates NVIDIA's Synthetic Video Detector for real-time media authenticity checks and targets false-positive rates of 15% or lower. The app debuts after TwelveLabs' $100 million Series B and is the first application built on its full-stack agentic video intelligence platform. Features include rule pack authoring, real-time reviewer workflows, synthetic media flagging, and API-first access.
- TwelveLabs announced general availability of Compliance by TwelveLabs, a video content compliance SaaS.
- The solution integrates NVIDIA's Synthetic Video Detector for real-time authenticity scoring.
TwelveLabs Raises $100M Series B to build the future of video superintelligence
Recorded impact score: 5/5
🎉 TwelveLabs Raises $100M Series B to build the future of video superintelligence. Read more.
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Questions about TwelveLabs
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.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
20 publicly documented primary sources and citations linked across the market graph.
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