Scale AI, a San Francisco-based provider of data labeling services for artificial intelligence development and training, has raised $1 billion in a Series F funding round led by venture capital firm Accel.
With a valuation of $13.8 billion, Scale AI aims to expand its capabilities and offerings by building on its existing AI model evaluation work with defense, civilian and government customers, the company said Tuesday.
“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,” shared Dan Levine, partner at Accel.
The latest funding round saw participation from Cisco Investments, DFJ Growth, Intel Capital, ServiceNow Ventures, AMD Ventures, WCM, Amazon, Elad Gil and Meta.
Existing investors Y Combinator, Nat Friedman, Index Ventures, Founders Fund, Coatue, Thrive Capital, Spark Capital, NVIDIA, Tiger Global Management, Greenoaks and Wellington Management also joined the round.
Scale AI helps prepare data to build the foundation of organizations’ end-to-end AI life cycle processes, from the development stage to the deployment phase.
“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,” said Alexandr Wang, CEO and founder of Scale AI.
J.P. Morgan and Allen & Co acted as placement agents to Scale AI on the transaction.
