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Raising $1B to Push the Frontier of Data, Scale AI Pursues What is Possible with Artificial Intelligence

By Alex Passett

TGIF, lovely readers.

Let’s talk about Scale AI and some relevant news before we head into the weekend, shall we?

Scale AI’s M.O. is clear: Accelerate the development of responsible AI applications. After all, as the company itself puts it, “Better data leads to more performant models. Performant models lead to faster deployment.” Thus, Scale AI helps deliver measurable value from AI investments (“faster, and with better data”) by providing an data-centric, end-to-end solution to manage the entire machine learning (ML) lifecycle. Headquartered in San Franscisco, Scale AI – at the time of this article’s publication – has 900 employees and has earned (through primary and secondary financing rounds) an incredible valuation of $13.8 billion. (Editor’s note: Truly, just fathoming funds like that is wild.)

And an entire $1 billion of that?


Just last week, Scale AI closed a $1 billion Series F financing transaction, bringing the company to its current valuation.

According to the official announcement, “Scale’s calling is to build the data foundry for AI. With this funding, the company is moving into the next phase of that journey – accelerating the abundance of frontier data that will pave our AI road ahead.” Scale AI is also building a strong track record of solving data challenges for companies such as OpenAI, Meta and Microsoft.

Reportedly, this new funding will also enable Scale AI to build upon its prior model evaluation work with enterprise customers and the U.S. Department of Defense, as well as work on the White House-announced DEFCON 31 red-teaming event to deepen its capabilities and offerings for both public and private evaluations.

The long-story-short of this? Scale AI is putting the work in and, by all accounts, seems laser-focused on unlocking the potential of data for AI.

“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.”

We’ll keep our eyes peeled for future news concerning the next steps for Scale AI and its ambitious journey.

Edited by Greg Tavarez
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