❯ TypeSafe AI, maker of the Jev model, raises an $870 million Series A at a $7.5 billion valuation less than a month after launch

An $870 million Series ATypeSafe AI announced on October 9 an $870 million Series A at a $7.5 billion valuation. Andreessen Horowitz led the round, with Sequoia Capital, existing investor DCVC and a group of angel investors participating, and a16z’s Martin Casado is joining the board. According to TechCrunch, the company’s model, Jev, was released only on September 15.

A model that outputs no textJev is based on a transformer architecture but is not a large language model: it produces probabilities, not text. As SiliconANGLE describes it, Jev supports just three types of requests: answering yes or no, picking an item from a list, or generating a score, each with a measure of its confidence. After calling an LLM, enterprise software usually has to condense a block of text into a structured format before using it; Jev skips that step. It can, for example, rate cybersecurity alerts by severity.

The 200x figure is the company's claimTypeSafe says Jev processes a request in under 700 milliseconds, up to 200 times faster than some frontier LLMs and up to 100 times more cost-efficient, and that a third of the Fortune 500 already use it. All of these figures are the company’s own. Founded in 2024, its co-founders include Diogo Almeida, previously a researcher at OpenAI, and Sasha Sheng, a former Meta research engineer.

Funding more models of the same kindThe company’s announcement says it will ship more “machine-native” models and add the enterprise features customers have asked for; Jev is part of a model series called System One. Many automation steps inside companies need a decision, not a paragraph. If those steps move to specialized small models, general-purpose LLMs billed by the token will lose part of their enterprise call volume.

▮ SIGNALA model that cannot talk reached a $7.5 billion valuation in three weeks; investors are betting that in enterprise automation, deciding is more common than generating and more sensitive to speed and cost.