TypeSafe AI
Machine-native decision models for fast, typed, and confidence-aware automation
TypeSafe AI develops System One models that turn application state into structured decisions rather than free-form text. Its models are designed for software automation, returning bounded choices, scores, and probabilities that applications can validate and act on directly.
Models by TypeSafe AI
Jev is TypeSafe AI's System One decision model for fast, machine-consumable judgments. It evaluates structured or unstructured application state against typed questions and returns bounded choices, ordinal scores, or yes-or-no probabilities with confidence in a parallel pass. Unlike generative language models, Jev does not produce free-form prose; it is designed for routing, classification, ranking, verification, guardrails, and real-time workflows where software must act on predictable outputs.