Realtime Voice AI API
Low-latency conversational infrastructure with interruption handling, natural turn-taking, and persistent voice behavior across sessions.
IronHeart.AIBook DemoRuntime infrastructure for real-time voice AI, memory orchestration, AI agents, digital humans, and physical robots.
IronHeart.AI is an operational intelligence layer for systems that understand context, operate in real time, connect to data sources, and adapt continuously.
Low-latency conversational infrastructure with interruption handling, natural turn-taking, and persistent voice behavior across sessions.
Persistent short-term and long-term context for AI identities, agents, dialogue analysis, and user profiles.
Coordinate agents, workflows, scripts, SOPs, data sources, approvals, and escalation logic as an operational layer.
Power expert clones, digital humans, voice agents, mentors, and AI-native identities across apps, calls, web, and robots.
Infrastructure for companion products, paid private companions, persistent relationships, minutes, subscriptions, and personalized conversations.
Embed a cognitive voice layer into social robots, kiosks, terminals, personal AI devices, and embodied AI systems.
Launch realtime voice AI agents, AI personalities, digital humans, and robotics applications with predictable pricing.
A credit is the usage unit for the realtime runtime. Plans convert credits into an approximate number of voice conversation hours so teams can forecast usage before launch.
IronHeart.AI regulates speech tempo, breath depth, micro-pauses, vocal tension, intonation shifts, loudness, and attack variability through continuous state.
Public use cases from IronHeart.AI include social robots, call centers, live sales and support, education, healthcare, government services, AI influencers, smart spaces, and paid companions.
AI doctors, medical assistants, patient engagement, healthcare and elderly care.
AI teachers, language tutors, interactive learning, education and training systems.
Robots, AI ambassadors, exhibitions, lead generation, live conference activation.
AI sales assistants, in-store robots, kiosks, terminals, and customer engagement.
AI influencers, expert clones, paid private companions, and monetized conversations.
IronHeart.AI combines emotion-driven voice control and event-driven conversational architecture into one operational system.
Consistent voice state behavior across multilingual deployments.
Designed for low-latency calls, interruption handling, and natural turn-taking.
Voice does not switch. Voice moves with the interaction.
A unified runtime for personality, context, orchestration, and execution.
Built for offline, degraded-network, and local infrastructure environments.
Tested through real robots, conferences, noisy spaces, and embodied systems.
IronHeart integrates through API and SDK as a core system layer with event hooks, offline deployment, and real-time state synchronization.
Reserved for verified customer deployments and measured outcomes.
Reserved for verified customer deployments and measured outcomes.
Reserved for verified customer deployments and measured outcomes.
Designed to be embedded into social and humanoid robots, screening devices, kiosks, terminals, personal AI devices, and electronics with microphones and sensors.
Core APIs include Voice State API, Voice Processor API, Knowledge Processor API, event-driven hooks, offline and edge deployment, and real-time state synchronization.
const session = await ironheart.voice.start({
language: "auto",
memory: "persistent",
interruptionHandling: true,
events: ["call", "intent", "outcome"]
});
await session.connect({
transport: "webrtc",
knowledge: "rag-ready",
device: "robotics-bridge"
});Deploy voice AI, memory, agents, and robotics from a single infrastructure layer.