The Data Platform for AI: High-quality training and validation data for AI applications. Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video, and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.
By leveraging its API for autonomous vehicles and other use cases, companies like Alphabet, Voyage, nuTonomy, Embark, DriveAI and others leverage Scale to turn raw information into human-labeled training data that dependably powers their AI applications. Scale uses a combination of high-quality human task work, smart tools, statistical confidence checks and machine learning to consistently return scalable, precise data.
To date, Scale has raised $277.6 million in funding, with its latest funding round being a Series C led by Founders Fund with continued investment from Index Ventures, Accel and Y Combinator. Individual investors include Dropbox founder Drew Houston, Twitch founder Justin Kan, OpenAI co-found
Total Funding: $277.6M
Funding Stage: Series C
Business Stage: Scaling Up
Market: B2B
Company Size: 251 to 500
Founded: 2016
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Machine Learning Research Engineer - Federal
Fairfax, Virginia
Research Engineer
San Francisco, California
Machine Learning Infrastructure Engineer
San Francisco, California
Customer Engineer
San Francisco, California
Solutions Engineer
San Francisco, California