TypeSafe raises $870M at $7.5B valuation for non-text AI model Jev
TypeSafe claims Jev, a transformer-based model producing calibrated decisions instead of text, is faster and uses fewer tokens than LLMs. Andreessen Horowitz led the round with Sequoia and DCVC participating.
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- TypeSafe, developer of the non-text AI model Jev, raised $870 million at a $7.5 billion valuation weeks after its September 15 launch.
TypeSafe, the company behind the transformer-based AI model Jev, announced an $870 million funding round at a $7.5 billion valuation. The round was led by Andreessen Horowitz, with participation from Sequoia and existing investor DCVC. The company describes Jev as a model that produces "calibrated decisions" rather than text, positioning it as a fit for automation workflows where traditional large language models (LLMs) are less efficient.
Jev’s release on September 15 was followed by rapid adoption, with TypeSafe claiming that a third of Fortune 500 companies are already using the model. The company attributes this uptake to claims that Jev operates significantly faster and uses far fewer tokens than LLMs, addressing a gap in automation-focused AI applications.
TypeSafe was co-founded in 2024 by Diogo Almeida, Sasha Sheng, and Erik Gafni. Almeida, a former OpenAI researcher, previously argued that LLMs are not well-suited for automation because "computers speak a different language" than human language models.
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