- Scale AI raised $1 billion in Series F funding, reaching a nearly $14 billion valuation, with contributions from Accel, Y Combinator, Founders Fund, Nvidia, Amazon, and new investors like Cisco Investments and Meta.
- The San Francisco-based company accelerates the production of specialized training datasets for AI, supporting major users like OpenAI, Meta, and Microsoft.
- The funding will enhance Scale AI's model evaluation services for enterprise clients and federal entities, particularly in national security, ensuring accurate and timely results.
Scale AI has successfully raised $1 billion in its Series F funding round, boosting its valuation to nearly $14 billion.
The round was led by Accel, with significant contributions from Y Combinator, Founders Fund, Nvidia, Amazon, and new investors like Cisco Investments, Intel Capital, and Meta.
The San Francisco-based company, known as a "data foundry" for AI, accelerates the production of specialized training datasets essential for advancements in deep learning.
Scale AI has supported the data needs of major players such as OpenAI, Meta, and Microsoft, aiding their efforts to develop intelligent machines that emulate human behavior.
The newly raised funds will help Scale AI pursue several objectives.
First, the company plans to enhance its frontier model evaluation services to improve federal enterprise customer satisfaction, particularly for national security missions, by delivering accurate results more efficiently.
Second, Scale AI will upgrade its model evaluation services for enterprise clients and government agencies, including the United States Department of Defense, to meet the growing demand for precise, timely results in national security.
Dan Levine, a partner at Accel and a leading investor in Scale AI, expressed strong confidence in the company's direction and its potential impact on AI technology.
Levine highlighted Scale AI's expertise in managing large volumes of high-quality, diverse labeled training datasets, which is crucial for meeting the increasing demands of the rapidly evolving AI industry.
Edited By Annette George
