Intelligent Logic Twin

A hospital with a working memory.

Patient locations, staff responsibilities, queues, resources and clinical events belong to one operational state.

Persistent state and people-flow prototype · institutional operations planned

Discuss your use case Explore the complexes

01 / Simulation architecture

One authoritative world.

The simulation backend holds clinical truth. The immersive environment presents it and reports physical movement without silently inventing clinical events.

Persistent cases and versioned actions
Route plans with actual-position arrival checks
Role-specific access to patient information

02 / Simulation architecture

Operations create context.

The proposed institution model connects beds, operating lists, imaging, laboratory orders, pharmacy inventory and staff shifts.

Admissions, transfer and discharge workflows
Device and resource availability
Event-driven queues and handovers

03 / Simulation architecture

Continuity beyond the encounter.

A patient history can remain available after a session ends. Continuous autonomous hospital activity across sessions is a planned extension.

Recorded decisions and longitudinal state
Traceable consequences rather than reset-only scenarios
Coordinated human and AI teams planned

A clear development boundary

Orthopedics is the initial prototype focus. Specialty scope, advanced physiology, institutional authoring and multiplayer describe the platform direction. No clinical validation or regulatory approval is claimed.

See what exists today

Architecture in context

The world is more than its geometry.

The operational twin brings people, locations, orders and resources into one authoritative model.

Concept studyThree interconnected twins · planned architecture

Layer 02

Care has an operational context.

Rooms, beds, teams, orders and transfers belong to an authoritative world state. Important actions need validation before they change it.

All three layers refer to the same persistent patient and medical world.

Questions for an evaluation

Scope the model before deployment.

Define the clinical task, available hardware, intended learners and required evidence before deciding which capabilities belong in an institutional evaluation.

01Can multiple clinicians train together?

Mixed human and AI teamwork is part of the design. A synchronized multiplayer experience is planned; the current prototype provides shared-backend foundations rather than a completed multi-user product.

02Can hospitals create custom scenarios?

Educator authoring is planned for patients, conditions, objectives, teams, complications and rubrics. It is intended to reduce reliance on Unreal source changes, but a production authoring interface is not yet available.

03Can AESORYX run privately or on-premises?

Local inference is used in the current prototype. Private cloud and on-premises delivery are deployment directions to assess with institutions; a production deployment package has not been established.

04Is AESORYX clinically validated or a medical device?

No clinical validation, regulatory approval or clinical decision-support status is claimed. The current work is a simulation prototype. Clinical judgment, patient care and regulated device use require separate governance and evidence.

For institutions building what comes next

Build the next generation
of medical simulation.

Start with your specialty, your team and a concrete learning or research objective.

Request a demo Contact AESORYX