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The maker of non-text AI model Jev valued at $7.5B just weeks after launch

TypeSafe AI raised $870 million in a round led by a16Z.

Marina Temkin

Publisher TechCrunch AI

Oct 9, 2026 at 9:41 PM UTC · Updated 3 ngày trước · 1 phút đọc

The maker of non-text AI model Jev valued at $7.5B just weeks after launch
Image via TechCrunch AI

Key Signal

$870M TypeSafe AI funding round

Last Updated

3 ngày trước

Đang dịch…

TypeSafe AI, the developer of Jev, a new type of AI model that gained rapid popularity after launching just a few weeks ago, has raised $870 million at a $7.5 billion valuation. The round was led by Andreessen Horowitz, with participation from Sequoia and existing investor DCVC.

The massive fundraise comes as little surprise given Jev went viral almost instantly after its Sept. 15 release. The startup claims that a third of Fortune 500 companies are already using the model, a remarkably swift adoption by enterprises.

Jev is based on a transformer architecture, but it is not a large language model (LLM). It doesn’t output text, but instead produces probabilities, or what the company calls “calibrated decisions.” What has users and large corporations so excited about Jev is TypeSafe’s claim that it works significantly faster and uses far fewer tokens than LLMs. The company positions its approach as uniquely suited for automating tasks rather than generating text or code.

“We have been super good at human language for four years, but it’s not useful for automation because computers speak a different language,” TypeSafe co-founder Diogo Almeida told TechCrunch last month.

Along with Almeida, who was previously a researcher at OpenAI, TypeSafe was co-founded in 2024 by former Meta research engineer Sasha Sheng and Erik Gafni, an engineer and entrepreneur.

Why this matters

The $870 million round represents a major concentration of institutional capital behind an alternative AI-model approach. The valuation and participation from Andreessen Horowitz and Sequoia could signal stronger investor demand for AI infrastructure beyond conventional language models, while raising the competitive stakes for automation-focused developers.

#ai#defi

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Originally reported by TechCrunch AI

NewsLayer coverage based on externally reported material.

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