The company moves to the next phase of accelerating the abundance of frontier data, building a path to artificial general intelligence.
Scale AI’s proprietary Data Engine powers every major model builder, providing a roadmap for any organization to apply AI. It is a foundational partner to top industry leaders including Meta, Microsoft, OpenAI, General Motors, and others, assuring they will have the data to deploy AI confidentially.
Scale AI was founded in 2016 by Alexandr Wang and Lucy Guo who since left to launch Passes. The company now has over 600 employees according to Crunchbase and just announced the closing of a $1 billion Series F, bringing its valuation close to $14 billion.
Scale AI powers the data behind the end-to-end AI lifecycle that CEO Wang sees as fundamental for AI to reach new heights.
“Data abundance is not the default; it’s a choice. It requires bringing together the best minds in engineering, operations, and AI,” said Alexandr Wang, CEO and founder of Scale AI. “Our vision is one of data abundance, where we have the means of production to continue scaling frontier LLMs many more orders of magnitude. We should not be data-constrained in getting to GPT-10.
The funding enables the company to move into the next phase of accelerating the abundance of frontier data. This is the path to artificial general intelligence, matching or surpassing human capabilities across a broad range of cognitive tasks—that narrow AI does not.
Scale AI’s name bespeaks the magnitude of its endeavors supported by top venture capital firms and tech giants. Existing investor Accel led the current round. It included prior investors Y Combinator, Nat Friedman, Index Ventures, Founders Fund, Coatue, Thrive Capital, Spark Capital, NVIDIA, Tiger Global Management, Greenoaks, and Wellington Management. They were joined by Cisco Investments, DFJ Growth, Intel Capital, ServiceNow Ventures, AMD Ventures, WCM, Amazon, Elad Gil, and Meta.
Dan Levine, partner at Accel sums up the critical role that Scale AI has and will play in the future of AI.
“From day one, Scale has been laser-focused on unlocking the potential of data for AI. All of the major advancements in the industry we have today wouldn’t have been possible without Scale’s data engine at the center,” said Levine. “Their vision is why we first partnered with Scale in the earliest days and why we continue to believe that their expertise remains paramount in addressing the industry’s growing needs for high-quality data as the AI industry continues to push the boundaries of what’s possible.”
