About Twelve Labs
Twelve Labs provides a semantic search for videos through context-aware artificial intelligence (AI). Its platform uses artificial intelligence (AI) to extract information from videos such as movement and actions, objects and people, sound, text on screen, and speech. The company was founded in 2021 and is based in San Francisco, California.
ESPs containing Twelve Labs
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The generative AI — general search market is focused on developing AI-powered search technologies that can understand and interpret natural language queries, enabling more accurate and relevant search results. These solutions can be deployed across platforms, including e-commerce sites, within software, within knowledge management systems, and more. These technologies are designed to make it easie…
Twelve Labs's Products & Differentiators
Video Search API
Twelve Labs enables natural language based search within videos, capable of not only finding the relevant videos among thousands, but also locating the exact start and end time within the video. It combines more than 20+ SOTA deep learning models to extract rich information from a video, including objects, movement, action, sound, conversation, words on screen, and most importantly, context. With our API, video search is as easy as CTRL+F.
Expert Collections containing Twelve Labs
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Twelve Labs is included in 3 Expert Collections, including Artificial Intelligence.
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Generative AI 50
CB Insights' list of the 50 most promising private generative AI companies across the globe.
Twelve Labs Patents
Twelve Labs has filed 3 patents.
Latest Twelve Labs News
Aug 31, 2023
August 31, 2023 MosaicML, whose platform is used to develop and train large, complex generative AI models, experiences up to 50 per cent faster performance and cost savings of up to 80 percent. compared to other cloud providers. MosaicML a software developer that provides infrastructure and tools for building machine learning models at scale, has chosen Oracle Cloud Infrastructure (OCI) as its cloud infrastructure of choice to help businesses extract more value from their data. With OCI’s high-performance AI infrastructure, MosaicML has experienced up to 50 per cent. faster performance and cost savings of up to 80 percent. compared to other cloud providers. “Hundreds of organizations rely on MosaicML’s platform to develop and train large, complex generative AI models. We provide the complex systems and hardware so our customers can focus on building and deploying their own high-performance models,” said Naveen Rao, CEO and co-founder of MosaicML. “We chose OCI as we believe it is the best foundation for MosaicML. When we train models with huge amounts of data in the cloud, every minute counts – and with OCI we pay less than with other cloud providers and can scale almost linearly because of the way Oracle has configured its interconnects.” MosaicML helps organizations make training and interpretation of AI models more efficient and accessible with its model training capabilities. To scale its business and meet the growing demand for AI services, MosaicML chose OCI. With OCI, MosaicML has access to the latest NVIDIA GPUs, a very high bandwidth interconnect between nodes, and large compute block sizes to scale to thousands of GPUs. This has enabled MosaicML to help companies and startups operate with AI models, including Twelve Labs. Twelve Labs is an AI startup that builds foundational models for multimodal video understanding. By leveraging MosaicML’s platform running on OCI and OCI’s AI infrastructure, Twelve Labs has been able to scale and deploy their AI models efficiently to help users effortlessly search, classify and more efficiently utilize their video data for various applications. “The combination of MosaicML and Oracle has provided us with the perfect partner to help us handle huge capacities at high speed and follow our long-term growth,” said Jae Lee, founder and CEO of Twelve Labs. “MosaicML enables us to efficiently manage our large AI clusters, while OCI’s AI infrastructure ensures we don’t have to compromise on speed, saving us thousands of hours and tens of thousands of dollars in efficiency.” OCI offers several opportunities for AI, including AI infrastructure. OCI Compute virtual machines and ‘bare metal’ GPU instances can power applications in computer vision, natural language processing, recommender systems and more. For training large, complex models such as language models (LLM) at scale, OCI Supercluster provides ultra-low-latency cluster networking, HPC storage, and OCI Compute ‘bare metal’ instances with NVIDIA GPUs. OCI Compute instances are connected via a high-performance Ethernet network using RoCE v2 (RDMA over Converged Ethernet v2). The bandwidth of NVIDIA A100 Tensor Core GPUs provided by OCI exceeds alternatives by 4X-16X, which in turn reduces the time and cost of machine learning training. “We see many AI companies coming to OCI to run generative AI models because we can run them faster and more economically than other cloud providers. It is not unusual to train a model with 10 billion parameters in hours with OCI where it takes days on other platforms,” said Greg Pavlik, senior vice president at Oracle. “OCI’s architecture and non-blocking, low-latency network design is fundamentally different from anything else on the market.” *The article has been translated based on the content of IT-Kanalen by it-kanalen.dk . If there is any problem regarding the content, copyright, please leave a report below the article. We will try to process as quickly as possible to protect the rights of the author. Thank you very much! *We just want readers to access information more quickly and easily with other multilingual content, instead of information only available in a certain language. *We always respect the copyright of the content of the author and always include the original link of the source article.If the author disagrees, just leave the report below the article, the article will be edited or deleted at the request of the author. Thanks very much! Best regards! Report Content
Twelve Labs Frequently Asked Questions (FAQ)
When was Twelve Labs founded?
Twelve Labs was founded in 2021.
Where is Twelve Labs's headquarters?
Twelve Labs's headquarters is located at 555 Mission Street, San Francisco.
What is Twelve Labs's latest funding round?
Twelve Labs's latest funding round is Seed VC - II.
How much did Twelve Labs raise?
Twelve Labs raised a total of $17.12M.
Who are the investors of Twelve Labs?
Investors of Twelve Labs include Index Ventures, Radical Ventures, Spring Ventures, Lukas Biewald, WndrCo and 10 more.
Who are Twelve Labs's competitors?
Competitors of Twelve Labs include Perplexity AI, Vectara, Neeva, Graft, You.com and 8 more.
What products does Twelve Labs offer?
Twelve Labs's products include Video Search API.
Who are Twelve Labs's customers?
Customers of Twelve Labs include Mindprober.
Compare Twelve Labs to Competitors
Andi operates as a search engine with an intelligent artificial intelligence assistant. It offers tools to fight spam and bad content, free from advertisements and tracking, visual results, and a distraction-free reader view for articles. The company was founded in 2021 and is based in Miami, Florida.
Vectara provides a conversational search and discovery platform. The company's platform offers various solutions such as global site search, workplace Search, and more. It allows businesses to have intelligent conversations utilizing their own data. The company was founded in 2020 and is based in Palo Alto, California.
You.com operates a private search engine to summarize the web for users. It offers privacy, extensible applications, and personalized results through preferred sources for consumers. The company was founded in 2020 and is based in Palo Alto, California.
Perplexity AI develops search tools using artificial intelligence (AI). It provides a platform for sharing knowledge and information among various groups of people. The company builds a general conversational answer engine that directly answers users’ questions with sourcing and citations. It was founded in 2022 and is based in San Francisco, California.
Edgecase is an AI and image recognition data labeling company. It develops human-annotated training data and complex synthetic datasets to train machine learning and artificial intelligence systems. The company also provides data annotation and an API for companies in retail, agriculture, medicine, and security, as well as industrial applications.
TruEra provides artificial intelligence (AI) based quality management solutions to optimize users' machine learning (ML) workflow. It offers an integrated platform for diagnostics and monitoring of machine learning (ML) workflow. It serves industries such as healthcare, insurance, defense, banking, government, and more. TruEra was formerly known as AILens. It was founded in 2019 and is based in Redwood City, California.