TypeSafe AI
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Introduction
TypeSafe AI builds System One Models that return typed, calibrated decisions for machine-native automation.
Listed on
September 17, 2026
What is TypeSafe AI?
TypeSafe AI is an AI lab building machine-native intelligence infrastructure designed to make decisions within software. Instead of chat-oriented LLMs, it offers System One Models built on a new architecture, sampler, and training algorithm called Reinforcement Learning for Calibrated Decisions (RLCD). The models return typed outputs with calibrated confidence so software can act on them reliably.
How to use TypeSafe AI?
- Join the waitlist from the TypeSafe AI website to get access. Once onboarded, integrate the model so it returns typed decisions with calibrated probabilities, then set thresholds for when your software acts autonomously and when it requests human review.
Core features of TypeSafe AI
- Typed outputs that software can act on
- Calibrated confidence estimates with every decision
- Reinforcement Learning for Calibrated Decisions (RLCD) training
- System One Models built for machine-native use
- Configurable thresholds for autonomous action vs. human review
- Reported 193.6x faster and 444.6x cheaper than LLM workflows for System One tasks
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