IronHeart Runtime
The foundational runtime layer for persistent AI entities that can speak, remember, act, and operate across software and physical environments.
IronHeart.AI
IronHeart.AI gives companies the infrastructure to build persistent AI entities that can speak, remember, reason, act, and operate across digital and physical environments.
As AI systems move from chat windows into retail spaces, classrooms, healthcare settings, meetings, and robots, they need a runtime layer: persistent memory, real-time conversation continuity, agent orchestration, edge deployment, and physical device integration.
Voice is the interface. Memory is the foundation. Agent orchestration is the operating layer. Robotics is the physical deployment surface.
The same runtime can power an AI employee, an expert clone, a companion, a call-center agent, a teacher, or a humanoid robot.
Each module can be sold as an API layer, integrated into enterprise systems, or bundled into a complete runtime deployment for physical and conversational AI products.
The foundational runtime layer for persistent AI entities that can speak, remember, act, and operate across software and physical environments.
Low-latency voice interaction, interruption handling, turn-taking, voice state, and emotional conversational behavior.
Persistent short-term and long-term memory for AI employees, companions, expert clones, and relationship-based AI systems.
RAG, document ingestion, knowledge retrieval, and live context injection for enterprise and personal AI products.
Coordinate agents, workflows, approvals, tools, data sources, and escalation paths inside one event-driven runtime.
Runtime infrastructure for social robots, kiosks, humanoids, smart devices, and embodied AI systems in real-world spaces.
Offline-first and local deployment options for controlled environments, privacy-sensitive workflows, and physical systems.
The product is infrastructure, but the proof is application diversity: many AI businesses can be powered by the same runtime.
Answer questions, process requests, and manage workflows across calls, chat, CRM, and internal systems.
Coaches, educators, consultants, and professionals can scale knowledge, voice, and judgment.
AI entities with memory and continuity for relationship-based subscription experiences.
Robots, kiosks, and intelligent devices with natural conversation and persistent identity.
IronHeart's infrastructure thesis is grounded in public robotics, education, events, and conversational AI deployments.
Classroom deployments and public education scenarios show why voice, memory, and physical presence need one runtime.
Robots as event hosts, ambassadors, product explainers, and lead-generation interfaces.
The same infrastructure can power call centers, teachers, expert clones, companions, and physical AI.
AI will not remain inside chat windows. It will speak, remember, act, and enter the physical world. IronHeart.AI is building the layer underneath that transition.