Local inference paths
Place latency-sensitive or availability-critical modules on the device or nearby edge hardware.

Keep critical robot interaction available with local inference, predictable latency and state continuity in degraded or offline networks.
Robots operate in buildings, vehicles, events and restricted sites where connectivity changes from minute to minute. A cloud-only interaction path turns a network problem into a product failure.
IronHeart.AI supports architectures where interaction-critical components run closer to the device. Local state can preserve the current exchange, selected inference can remain available and synchronization can resume when the network returns.
Offline does not mean every model must fit on every robot. It means the deployment is intentionally partitioned so the product retains predictable, useful behavior under its real connectivity constraints.
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.
Place latency-sensitive or availability-critical modules on the device or nearby edge hardware.
Define what the robot can still understand, say and do without external services.
Preserve permitted interaction context through a network interruption and reconcile later.
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.
Decide which voice, memory, policy and action paths must remain local.
Deploy the selected runtime and models to supported edge hardware.
Continue bounded behavior during degraded or absent connectivity.
Reconcile allowed events and versions when the connection returns.
Primary buyer: OEMs and integrators serving factories, healthcare sites, public infrastructure, events, vehicles and privacy-sensitive environments.
What to measure: Test network loss, reconnection, local response time, storage limits, version drift and safe behavior when cloud capabilities are unavailable.
Required controls: Local module selection, model package, synchronization policy, storage retention and degraded-mode action limits.
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. |
No. Hybrid deployments can use cloud services when available while preserving selected local paths.
Capability depends on processor, memory, storage, model choice and the product’s latency target.
Signed, versioned packages can be deployed through the partner’s approved device-management process.
Tell us about the embodiment, use case and deployment constraints. We will map the fastest evaluation path.