ENGINE

RuntimePhysics Engine

A continuous execution engine designed to maintain system state, accept live input changes, and operate without predefined execution boundaries.

01Continuous execution
02Authoritative state
03Live input changes
LIVE SIMULATION MODIFICATION

Change the well mid-run. The physics keeps up.

RuntimePhysics™ accepts new inputs while execution continues. Teams can change conditions, test decisions, and observe the physical response without resetting the operation.

Parameters remain live
State advances continuously
No restart required
Fluid changeGeometry updateParameter shiftOne continuous run. State persists through every change. No restarts.
Illustrative representation
01Input changesUpdate operating conditions
02State persistsContinue from the current system
03Physics resolvesObserve the resulting response
AUTHORITATIVE STATE

One state. Always in motion.

The engine maintains a single, continuously evolving representation of the operation. Every input, interaction, and physical response begins from the state that exists now.

01
PersistentState carries forward between decisions.
02
SharedUsers and systems act on the same operation.
03
PhysicalEvery change is resolved by the model.
SYSTEM RESPONSECONTINUOUS RUNTIME →Initial equilibriumNew equilibriumInput changed mid-runState persists. No restart.Illustrative representation
Current state
+
New input
Next state
STATE PERSISTENCE

The operation does not disappear between actions.

Pressure, flow, equipment position, and every other modeled condition remain available as the operation advances. The next decision inherits the full consequence of the last one.

Live InputsOperator actions, parametersSolver StepDeterministic physicsSystem StatePersists continuouslyState feeds the next step. No scenario resets. No predefined boundaries.enter mid-runupdate
01System state
02Decision
03Resolved response
04Updated state
EXECUTION ARCHITECTURE

Built for live decisions, not isolated studies.

RuntimePhysics™ separates the continuously running physical system from the interfaces used to observe and control it.

01

Interaction during execution

Operators, instructors, automation, and external data can change the running system without breaking continuity.

02

Predictable execution

A deterministic runtime produces repeatable results while still accepting live decisions and changing conditions.

03

Execution is not presentation

The physics layer operates independently from the viewer, creating a stable foundation for laptops, simulators, and connected systems.

CIRCULATION MODEL
GeoCube script did not execute
FLUIDS MODEL
Five fluidization regimes with increasing superficial gas velocity: homogeneous expansion, bubbling, slugging, circulating, and pneumatic conveying
ENGAGE WITH ENDEAVOR

Let’s model what happens next.

Tell us what you need to train, test, or de-risk. We’ll focus the conversation on the operation, physics, and deployment environment.

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