via TechCrunch AI
TypeSafe AI's Jev, a Non-Text AI Model, Hits $7.5B Valuation
ai fundingandreessen horowitzautomationcalibrated decisionsdcvcdiogo almeidaerik gafnifortune 500jevnon-text ai modelsasha shengsequoiatransformer architecturetypesafe ai
TypeSafe AI, the developer behind Jev—a new class of AI model that rapidly gained traction after its debut just 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: Jev went viral almost instantly after its September 15, 2026 release. The startup claims that a third of Fortune 500 companies are already using the model, a remarkably swift adoption by enterprises.
Jev is built on a transformer architecture, but it is not a large language model (LLM). Instead of outputting text, it produces probabilities—what the company calls "calibrated decisions." What has users and large corporations so excited is TypeSafe's claim that Jev operates 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, a former researcher at OpenAI, TypeSafe was co-founded in 2024 by former Meta research engineer Sasha Sheng and engineer-entrepreneur Erik Gafni.
