The Unseen Layer of Physical AI
Pre-Execution Safety Infrastructure for Robots and Autonomous Systems
ARTANI® is a pre-execution safety infrastructure designed for physical AI systems operating in safety-critical environments.
It determines whether AI-generated actions should be allowed before physical actuation and introduces an execution decision layer where existing systems typically stop at monitoring, validation, or certification.
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What ARTANI Does
Pre-execution safety is a control layer that determines whether an AI-generated action should be executed before physical actuation.
An execution decision layer evaluates robot commands in real time and allows or blocks actions before they occur.
ARTANI® Gate is a pre-execution safety infrastructure for physical AI systems, operating as an execution decision layer.
Why It Matters
In robotics and autonomous systems, safety is often addressed through sensors, control systems, verification processes, and compliance frameworks.
But a critical gap remains:
Should this action be executed right now?
ARTANI® addresses this gap by inserting a decision point before execution.
How It Works
Command → Gate Evaluation → Allow / Block / Warning → Report
ARTANI Gate evaluates actions before execution, makes the decision traceable, and produces audit-ready outputs for safety-critical deployments.
Explore the Full Infrastructure
ARTANI Universe provides the broader infrastructure context, including the ARTANI Gate framework, reference architecture, pilot materials, and supporting documentation.
ARTANI® and HO ARC® are registered trademarks in France and Korea.
The Reference Foundation source collections — Facing Fears (300) and Paris in Light (115) — were officially deposited with the Bibliothèque nationale de France (BnF) in April 2026.
Together, they form a legally branded, publicly documented, and nationally archived foundation for ARTANI’s reference layer.
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