Patent Pending

Voice is not a sound. Voice is a controlled physiological process.

Most systems generate good voice.
IronHeart.AI creates a voice that feels, reacts, and evolves.

Our solution is not a voice and not a bot.
It is an operational layer that:

  • → understands user context
  • → works in real time
  • → connects to any data source
  • → adapts its behavior continuously

This is a new standard of speech interfaces.

We do not control voice as "text → sound".
We control voice as a living state.

This is the foundation for robots, devices, and interactive systems
where voice is not an output, but the brain of interaction.

Why traditional voice AI fails

01

Text to Sound Mapping

Most systems map text to sound. The voice is generated, not controlled. Context is lost between outputs.

02

Emotion as Preset

Emotion is a preset. A tag. A style. Not a continuous state that evolves naturally through conversation.

03

State Resets

Voice resets between messages. Escalation and long dialogue break. The illusion of continuity fails.

Voice is a dynamic system

Human voice changes due to breath, tension, micro-pauses, and autonomic state.
These variables are continuous and context-aware.

THE PRINCIPLE

Emotion causes the voice to change.
It is not applied afterward.

THE APPROACH

Continuous physiological control.
Not post-processing effects.

Emotion and Event-Driven Conversational System

IronHeart.AI combines emotion-driven voice control and an event-driven conversational architecture into a single operational system.

Voice is not generated per message.
It is continuously regulated as a state, while every interaction is processed as an event.

How the system works

1

Inputs

  • → Text
  • → Dialogue context
  • → Interaction history
  • → Agent state
  • → Knowledge context (RAG-ready)
2

Emotion-Driven Voice Control Layer

Voice is regulated through state parameters:

→ speech tempo
→ breath depth and frequency
→ micro-pauses
→ vocal tension and tremor
→ intonation contour shifts
→ loudness and attack variability

These parameters change in real time based on:

  • → dialogue context
  • → user emotional dynamics
  • → interaction scenario
  • → persona state (arousal level, intimacy level)
3

Voice Processor

  • → Controlled voice identity and cloning
  • → Persistent voice behavior across sessions
  • → Integrated directly into the state engine
  • → Designed for long, continuous conversations
4

Knowledge Processor (RAG)

  • → Structured knowledge ingestion
  • → Retrieval-augmented grounding
  • → Runtime knowledge injection into dialogue and voice behavior
5

Event-Driven Execution

  • → Every interaction is an event: call, message, intent, outcome
  • → Voice state persists across events
  • → No resets, no emotional jumps

Voice does not switch.
Voice moves.

20+ languages supported with consistent voice state behavior.

Emotional transitions are preserved across languages, not re-simulated.

This is not content delivery.
This is an interaction operating system.

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A Safe Sandbox for Voice-Driven Systems

IronHeart.AI also functions as a controlled testing ground.

It allows teams to:

  • → experiment with payment and incentive models
  • → test conversational monetization
  • → validate behavioral and emotional hypotheses
  • → observe real user reactions safely

A place to test interaction systems before scaling them to production.

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Brain for Robots and Intelligent Devices

IronHeart.AI can function as a voice brain for robots and intelligent devices.

It is designed to be embedded into:

→ social and humanoid robots
→ screening and interaction devices
→ kiosks and terminals
→ personal AI devices
→ embedded electronics with microphones and sensors

In these systems, IronHeart.AI is not a peripheral feature.
It acts as a cognitive layer that connects perception, state, and response.

Optional Multimodal Integration (VLM-ready)

IronHeart.AI is multimodal-ready by design.

When visual perception is available, IronHeart.AI can be connected to:

→ vision systems
→ VLMs (vision-language models)
→ external perception modules

This allows voice behavior to adapt not only to dialogue context, but also to:

  • → what the system sees
  • → what is happening in the environment
  • → who the user is and how they behave physically

Multimodality is optional, not required.

IronHeart.AI works:

with voice only
with voice + vision
with voice + sensors
as part of a larger cognitive stack

Voice is no longer an output.
Voice becomes an active cognitive interface between the system and the world.

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Designed to work offline

IronHeart.AI is designed for autonomous operation in offline and degraded network environments.

01

Local Inference

Local inference and local state control. Full voice engine runs on-device without cloud dependency.

02

Predictable Behavior

Predictable behavior without continuous cloud dependency. Guaranteed response times regardless of network.

03

State Continuity

Voice state continuity preserved without internet access. Emotional context survives network failures.

IronHeart.AI does not rely on external cloud services to function.
There is no mandatory connection to large platforms or centralized providers.

Autonomy and Data Security

IronHeart.AI is built for environments where control and trust matter.

  • → User data can remain fully on-device or within local infrastructure
  • → No forced data transfer to third-party clouds
  • → No dependency on big corporations to operate core functionality
  • → Full control over where data is stored, processed, and retained

This architecture enables:

  • → privacy-first deployments
  • → enterprise and government use cases
  • → robotics and devices operating in restricted or sensitive environments

You stay in control of your system.
You stay in control of your data.

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APIs & SDKs

IronHeart.AI integrates via API and SDK as a core system layer.

CORE APIS

  • → Voice State API
  • → Voice Processor API
  • → Knowledge Processor API (RAG)

INTEGRATION

  • → Event-driven interaction hooks
  • → Offline and edge deployment
  • → Real-time state synchronization

Not a voice service.
A voice control platform.

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Tested in Real Conditions

Deployed on Real Robots

Physical embodiment in social robots with real-time voice control under mechanical constraints.

Live Conferences

Operated at live conferences with thousands of interactions in noisy, unpredictable environments.

Production Scale

Thousands of real conversations. Real users. Real feedback. Real problems solved.

Use Cases

Social Robots

Conversational Agents

Call Centers

Live Sales & Support

NPCs

VR & AR Characters

Emergency & Crisis Systems

Industrial & Field Operations

Enterprise Knowledge Agents

Education & Training Systems

Healthcare & Elderly Care

Government & Public Services

AI Influencer

Autonomous Smart Spaces

Paid Private Companions

Cognitive Voice System

Emotion-driven. Event-driven. Stateful by design.