The missing layer between models and machines.

Robot hardware provides embodiment. Foundation models provide general intelligence. A production robot still needs the runtime that continuously coordinates perception, conversation, memory, identity, attention and execution.

IronHeart.AI sits between models and the machine. Hardware adapters normalize sensor events and approved actions; the cognitive runtime maintains social and operational state; deployment controls decide what runs through the cloud, at the edge or inside private infrastructure.

This separation lets OEMs differentiate intelligence without coupling an entire product line to one model provider or one-size-fits-all behavior.

A useful embodied system cannot treat voice, memory and action as unrelated calls. IronHeart coordinates the modules around the live person, environment, role and task.

Each module can be configured per robot or product while published versions preserve a reproducible operational state.

Primary buyer: Robot OEMs, intelligent-device manufacturers and integration firms moving from demonstration hardware to repeatable products.

What to measure: Measure stable behavior across hardware revisions, integration time per body, safe action completion and fleet configuration consistency.

Required controls: Hardware profiles, module enablement, model routing, action permissions, deployment mode and version history.