TypeSafe AI, maker of the non-text model Jev, raises $870 million at a $7.5 billion valuation

TypeSafe AI, the company behind Jev, a new kind of artificial intelligence model that took off rapidly after launching just a few weeks ago, has closed an $870 million round at a $7.5 billion valuation. According to TechCrunch, the round was led by Andreessen Horowitz, with participation from Sequoia and existing investor DCVC.

Jev launched on September 15 and, according to the article, went viral almost immediately, so the funding comes as little surprise. The company says a third of Fortune 500 companies already use the model, which would be very fast enterprise adoption. That figure should be treated as a company claim, not independently verified data.

What sets Jev apart is how it works technically. It is built on a transformer architecture, but it is not a large language model (LLM): instead of generating text, it generates probabilities, which the company calls "calibrated decisions." TypeSafe says it runs considerably faster and uses far fewer tokens than LLMs, and it positions its approach as especially well suited to automating tasks rather than generating text or code.

Co-founder Diogo Almeida, a former OpenAI researcher, summed it up to the outlet last month: "We've been really good at human language for four years, but it's not useful for automation because computers speak a different language." TypeSafe was founded in 2024 by Almeida, former Meta research engineer Sasha Sheng, and engineer and entrepreneur Erik Gafni.

The article is a short news item and gives no further details on Jev's performance, independent testing, pricing or specific use cases, so it is not possible to go beyond what is reported here.