Adaptive questioning
Coordinate this capability with live identity, interaction state and product policy instead of treating it as an isolated feature.
USE CASE / 10
Cognitive Robots
built as infrastructure.
Build education and training robots with approved knowledge, adaptive questions, realtime dialogue and teacher-controlled workflows.
THE OPERATING PROBLEM
From model output to dependable behavior.
Learning interaction is more than presenting information. A system must listen to an answer, relate it to prior turns, select an appropriate follow-up and preserve the authority of the educator.
The April 2026 Captcha Abitur simulation at Willms-Gymnasium demonstrated how perception, voice, memory, examiner personality, gaze and adaptive questioning work together in a real school setting.
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.
What IronHeart sells
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.
Approved curriculum
Configure behavior per role and environment, then preserve it through versioned testing and publication.
Teacher oversight
Connect the module to approved knowledge, memory and actions while retaining a clear human escalation path.
THE COMPLETE COGNITIVE LOOP
Six modules.
One interaction state.
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.
01Perception
02Realtime voice
03Persistent memory
04Personality
05Gaze
06Actions
Introduce the activity
Capture the live user, environment and task context.
Listen and interpret
Relate the current event to identity, memory and approved knowledge.
Ask an adaptive follow-up
Coordinate voice, personality, attention and policy.
Return a structured outcome
Complete the bounded outcome or transfer with context.
BUY & DEPLOY
Start with the integration path that fits the product.
Primary buyer: Education-technology companies, schools, museums, training providers and robot integrators.
What to measure: Evaluate end-to-end task completion, conversational recovery, policy compliance and the quality of human handoff for education & training systems.
Required controls: Educators remain responsible for learning outcomes, safeguarding and assessment; student data and novelty effects require explicit review.
Cloud API
Prototype and launch with managed realtime runtime services and the published API plans.
Review pricing →Edge & Offline
Scope interaction-critical components for supported device or nearby edge hardware.
Discuss edge deployment →Private Cloud
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. |
FAQ
Questions before integration.
Is IronHeart.AI a complete education & training systems application?
It is cognitive runtime infrastructure. The partner owns the interface, hardware, business rules, customer relationship and go-to-market.
How can a team purchase it?
Start with a Cloud API plan for evaluation. Edge, offline, private-cloud and OEM production licensing are scoped through an integration workshop.
Can the runtime use our existing knowledge and systems?
Yes. Server-side adapters can connect approved knowledge, identity, workflow and hardware systems.
What should be validated before production?
Educators remain responsible for learning outcomes, safeguarding and assessment; student data and novelty effects require explicit review.
BUILD WITH IRONHEART
What should your robot become?
Tell us about the embodiment, use case and deployment constraints. We will map the fastest evaluation path.