TypeSafe AI exits stealth with $40M seed and Jev, a model that outputs decisions

The company was founded in 2024 by chief executive Diogo Almeida, a former OpenAI researcher who worked on reinforcement learning from human feedback and ChatGPT, with Erik Gafni and Sasha Sheng, SiliconANGLE reported. In a launch post, Almeida described Jev as a System One model, borrowing Daniel Kahneman's term for fast, intuitive thinking. Developers send state data and a structured question, and the model returns a selection, a score or a yes/no probability with a confidence estimate. The company said Jev was trained with a method it calls Reinforcement Learning for Calibrated Decisions and does not generate free-form text.

TypeSafe claims responses in 70 to 500 milliseconds, which it calls 40 to 200 times faster than frontier language models on comparable tasks, and prices input at $0.042 per million tokens, with output free. The figures are the company's own, and its post concedes that its workflow comparisons sit at the high end of likely gains. The Register questioned the company's claim that Jev cannot hallucinate, noting structured answers can still be wrong. A demo shows Jev playing Doom, though the post acknowledges a conventional bot would play better.