Twelve Labs is helping developers build programs that can see, hear, and understand the world as we do by giving them the world's most powerful video-understanding infrastructure.


Information Technology

Twelve Labs

The San Francisco office focuses on AI/ML innovation, product development, finance, and strategic growth initiatives.

San Francisco

Twelve Labs' headquarters in Seattle, WA, United States

This department focuses on attracting, sourcing, and hiring talent to meet the organization's staffing needs.

Recruitment Services

The Software Development team at Twelve Labs is focused on designing, building, and optimizing the core video-understanding infrastructure. Comprised of five software engineers, the team works collaboratively to develop innovative solutions that enable programs to accurately interpret and analyze visual and auditory data from videos.

Software Development

This department focuses on the development, research, and application of machine learning technologies and techniques.

Machine Learning

The Machine Learning and Data team at Twelve Labs focuses on researching, developing, and refining advanced machine learning models and data pipelines to enable robust video-understanding capabilities. Their work involves creating algorithms that allow programs to accurately interpret visual and auditory data, ensuring that developers have access to cutting-edge tools for enhancing video analytics and comprehension.

Machine Learning and Data

This department designs and implements architectural solutions to meet client needs and enhance system integration.

Solutions Architecture

The Operations and People team at Twelve Labs ensures the seamless functioning of internal processes and fosters a positive work culture. They oversee business operations, enhance employee experience, manage recruitment, and implement policies that support the company's mission to provide powerful video-understanding infrastructure to developers.

People (10)

Jobs (0)

Other teams

Software Development

Machine Learning

Machine Learning and Data

Solutions Architecture

Operations and People