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BackThe maker of non-text AI model Jev valued at $7.5B just weeks after launch
The maker of non-text AI model Jev valued at $7.5B just weeks after launch
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TechCrunch1 hour agoTech1 min readUnited States

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

Quick Look

  • TypeSafe AI has raised $870 million in funding led by Andreessen Horowitz, with participation from Sequoia and DCVC, valuing the company at $7.5 billion.
  • The investment follows the rapid viral adoption of its AI model Jev, launched on September 15, which TypeSafe claims is already used by a third of Fortune 500 companies.
  • Jev is based on transformer architecture but does not generate text; instead, it produces calibrated decisions for automation tasks, offering faster performance and lower token usage than traditional LLMs.

AI-generated summary

Why It Matters

TypeSafe AI was founded in 2024 by Diogo Almeida (former OpenAI researcher), Sasha Sheng (former Meta research engineer), and Erik Gafni. The company developed Jev, an AI model based on transformer architecture that produces calibrated decisions instead of text output, targeting enterprise automation use cases.

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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.

What to Watch

AI outlook — possibilities, not facts

  • TypeSafe AI will pursue additional funding rounds or an IPO within the next 12-24 months

    Likely · Within months

  • Jev will expand its enterprise customer base beyond Fortune 500 companies to mid-market organizations

    Likely · Within months

Open Questions

  • What specific tasks is Jev designed to automate?
  • How does Jev's performance compare to LLMs in benchmark tests?
  • What is the pricing model for Jev enterprise licenses?
  • Which specific Fortune 500 companies are using Jev?

Related Topics

This article was originally published by TechCrunch.

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