Realtime call handling
Coordinate this capability with live identity, interaction state and product policy instead of treating it as an isolated feature.

Build realtime call-center AI with knowledge grounding, customer context, human handoff and auditable workflow actions.
Call-center automation fails when it optimizes only for speaking. A useful agent must resolve the caller’s intent, use approved knowledge, preserve case context and hand off cleanly when authority or confidence runs out.
IronHeart provides the voice and cognitive runtime underneath routing, CRM, ticketing and human-support systems.
Teams can begin with a managed Cloud API pilot, move interaction-critical paths to the edge, or scope a private deployment. The partner owns the customer experience and operational policy; IronHeart supplies the cognitive runtime beneath it.
A configurable cognitive runtime—not a one-size-fits-all robot personality. Partners purchase managed Cloud API access or scope edge, offline, private-cloud and OEM production licensing with integration support.
Coordinate this capability with live identity, interaction state and product policy instead of treating it as an isolated feature.
Configure behavior per role and environment, then preserve it through versioned testing and publication.
Connect the module to approved knowledge, memory and actions while retaining a clear human escalation path.
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.
Capture the live user, environment and task context.
Relate the current event to identity, memory and approved knowledge.
Coordinate voice, personality, attention and policy.
Complete the bounded outcome or transfer with context.
Primary buyer: Contact-center platforms, enterprise operations and integration partners.
What to measure: Evaluate end-to-end task completion, conversational recovery, policy compliance and the quality of human handoff for call centers.
Required controls: Record consent, access control, disclosure, escalation and outcome review must follow the operator’s policy and jurisdiction.
Prototype and launch with managed realtime runtime services and the published API plans.
Review pricing →Scope interaction-critical components for supported device or nearby edge hardware.
Discuss edge deployment →Run inside customer-controlled infrastructure with an enterprise integration agreement.
Request enterprise scope →| Foundation model for | Social interaction across perception, voice, memory, personality, gaze and actions. |
|---|---|
| Partner retains | Hardware, customer experience, business rules, data policy, safety authority and go-to-market. |
| IronHeart provides | Runtime configuration, cognitive modules, adapter contract, versioned publication and deployment support. |
| Commercial path | Cloud API subscription for evaluation; custom scope for edge, offline, private cloud and OEM production. |
It is cognitive runtime infrastructure. The partner owns the interface, hardware, business rules, customer relationship and go-to-market.
Start with a Cloud API plan for evaluation. Edge, offline, private-cloud and OEM production licensing are scoped through an integration workshop.
Yes. Server-side adapters can connect approved knowledge, identity, workflow and hardware systems.
Record consent, access control, disclosure, escalation and outcome review must follow the operator’s policy and jurisdiction.
Tell us about the embodiment, use case and deployment constraints. We will map the fastest evaluation path.