Persistent world state
Conditions accumulate. Operational history remains available. The simulation does not reset simply because the question changes.
Run persistent, deterministic physics across training, engineering, and operational decision environments, without rebuilding the model or fragmenting system state.
Traditional simulation stacks isolate studies, users, and applications. Endeavor maintains one governed execution model beneath every scenario so the physics, state, and timing stay intact.
Conditions accumulate. Operational history remains available. The simulation does not reset simply because the question changes.
The same inputs and timing produce repeatable behavior, essential for controlled comparison, validation, and assurance.
Multiple scenarios and users operate simultaneously without collapsing the integrity of the underlying physical system.
Drilling, intervention, and control logic evolve above the runtime, without fragmenting the platform beneath them.
Rehearse procedures, develop crews, and expose decision consequences against the same evolving well state used elsewhere on the platform.
Branch from current conditions, test alternatives, and produce physics-grounded insight without rebuilding the model between questions.
Put real control logic, automation, and digital-twin workflows against deterministic physics before systems reach the field.
The platform turns validated inputs into persistent execution, then exposes that shared state to every simulation surface and decision workflow.
Structure, validate, and initialize operator, well, equipment, and control data.
Own physical state, causality, timing, and continuous system evolution.
Run alternatives, users, and scenarios without severing shared context.
Deliver training, forecasts, DWOS, digital twins, HIL, and validation.
Specific simulation domains are implemented on top of the platform, not embedded within it.
This separation allows domain logic, interfaces, and deployment models to evolve independently while execution behavior remains consistent.
Explore runtime architecture ↗The difference is structural. A job-based platform resets context between studies. A runtime-native platform preserves state, accepts change, and keeps executing.
Run multiple scenarios concurrently from a shared runtime. Studies branch instead of restarting the system.
Maintain a consistent ground truth across runs, assessments, connected systems, and safety-critical workflows.
Ingest live PLC, sensor, control, and operational inputs while returning computed or synthetic signals.
Connect instructors, trainees, engineers, supervisors, observers, and external systems to one synchronized state.
ARCHITECTURE BEFORE HARDWARE
In complex simulation environments, outcomes are shaped as much by system architecture as by available hardware. Endeavor treats compute as a structural part of the runtime, not an external resource to maximize.
The objective is coherent, deterministic execution as demand increases—without fragmenting system state, duplicating logic, or rebuilding the simulation around the machine beneath it.
EXECUTION STACK
Persistent state and controlled concurrency prevent unnecessary recalculation, duplicated models, and execution resets.
Domain physics, equipment behavior, workflows, and operator actions remain portable.
One continuously evolving world state maintains causality through every change.
Workloads are coordinated without fragmenting timing or creating divergent execution paths.
Local, isolated, and streamed resources support the same deterministic runtime.
X1, X2, and X3 systems deliver the platform into immersive classrooms, mobile deployments, and field environments.
Run the same physics locally for engineering, planning, validation, and secure on-premise applications.
Extend governed RuntimePhysics™ access to distributed teams without duplicating platform logic.
Tell us what you need to train, test, or de-risk. We’ll focus the conversation on the operation, physics, and deployment environment.