Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Global
8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. cpp and MLX.
Qwen3-8B on a real BANKING77 item. Every number is a model output.
This release contains training, two inference backends, benchmark scoring, temperature calibration, and a browser demo.
Jev is TypeSafe AI's first System One model. It does not write prose. It takes a state plus questions whose answer space you define in advance, and returns typed values with probability distributions your code can branch on.
Nimble takes some text and a schema, and makes typed decisions about the text. The schema is the list of questions to answer. Each question is either a choice from a list that you give or a true or false question.
Apollo is a high performance, flexible architecture which accelerates the development, testing, and deployment of Autonomous Vehicles.
The job · Primitives · Forward pass · Results · Latency · Run it · HTTP · Repository
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/中文, JSON schema and platform compatibility.
5, designed for one-pass typed decisions with calibrated probabilities.
Given a context and a list of pre-written options, the model prefills the context once, expands that KV cache across the option batch, and scores every option in a single padded forward pass. No decoding.
Bud Decision studio is an easy to use cross platform desktop application & serving system for Jev like models locally.