TypeSafe AI

TypeSafe AI

TypeSafe AI offers System One Models that output typed decisions software can process directly, with calibrated confidence, for building automated workflows.

paid
Last Updated 9/17/2026

About TypeSafe AI

TypeSafe AI's System One Models are a new class of models designed for machine-native use, built on a new architecture, a new sampler, and a training algorithm called RLCD (Reinforcement Learning for Calibrated Decisions). Their output consists of typed decisions that software can process directly, with each decision accompanied by a calibrated confidence estimate. Developers can set thresholds that determine when the system acts autonomously and when it escalates to human review, and can compose these decisions in code to build larger workflows. In the example shown on the official website, TypeSafe AI completes a task for $0.000081 in 0.114 seconds, while a general-purpose LLM costs $0.013880 and takes 8.566 seconds (based on a System One task workflow).

Best for

Developers who need to integrate AI decisions into automated workflows
Engineering teams that require deterministic, verifiable model outputs

Best use cases

Building reliable, fast, and type-safe automated decision steps for software

Business processes that require the model to escalate to human review when confidence is insufficient

Composing multiple typed decisions in code to build larger-scale workflows

Compare before choosing

The official homepage states its input price is 238 times lower than Claude Fable 5.1

Features

Typed Output

Outputs typed decisions that software can process directly, instead of plain text strings.

Calibrated Confidence

Every decision comes with the model's own estimate of its confidence, making it easy for software to handle uncertainty.

Controllable Automation

Developers can set thresholds to decide when the system executes autonomously and when it requests human review, and can compose decisions in code to build larger workflows.

Pros

  • Outputs typed decisions with calibrated confidence, allowing software to handle uncertainty directly
  • Supports setting the boundary between autonomous execution and human review by confidence threshold
  • Official website examples show completing System One tasks at significantly lower cost and time than a general-purpose LLM

Pricing Plans

Input token billing

$42per billion input tokens

    * Pricing information is for reference only. Please refer to the latest announcement on TypeSafe AI's official website.

    FAQ

    According to the sample data on the official homepage, TypeSafe AI completed the task for $0.000081 in 0.114 seconds, while an LLM cost $0.013880 and took 8.566 seconds (based on a System One task workflow).
    System One Models use a new architecture, a new sampler, and a training algorithm called RLCD (Reinforcement Learning for Calibrated Decisions).

    Tool Information

    DeveloperTypeSafe AI
    Release Date9/17/2026
    Pricingpaid