TypeSafe, maker of non-text AI model Jev, raises $870 million at $7.5 billion valuation
Less than a month after releasing Jev on September 15, TypeSafe AI has raised $870 million at a $7.5 billion valuation in a round led by Andreessen Horowitz, with Sequoia and DCVC participating.
TypeSafe AI, the developer of the Jev artificial intelligence model, has raised $870 million at a $7.5 billion valuation, TechCrunch reported on October 9. Andreessen Horowitz led the round, with participation from Sequoia and existing investor DCVC (a16z).
Rapid adoption. Jev went viral almost immediately after its September 15 release, and the startup claims that a third of Fortune 500 companies are already using the model.
Not an LLM. According to TechCrunch, Jev is based on a transformer architecture but is not a large language model: instead of outputting text, it produces probabilities, or what the company calls “calibrated decisions.” SiliconANGLE reported that the model supports three types of requests—answering yes-or-no questions, picking an item from a list, or generating a developer-defined score—and returns a confidence number with its answers. TypeSafe claims Jev processes requests in under 700 milliseconds, making it up to 200 times faster and up to 100 times more cost-efficient than some frontier LLMs.
Founders. TypeSafe was co-founded in 2024 by Diogo Almeida, a former OpenAI researcher; Sasha Sheng, a former Meta research engineer; and engineer and entrepreneur Erik Gafni. “We have been super good at human language for four years, but it’s not useful for automation because computers speak a different language,” Almeida told TechCrunch last month.
What’s next. Jev is part of a planned model series called System One, according to SiliconANGLE, and TypeSafe plans to use the proceeds to add more models to the lineup and roll out enterprise features.
The deal highlights fast-rising investor appetite for AI models built to automate tasks rather than generate text or code.
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