The invariant front-running platform.
FRS Core owns scenario intake, state management, what-if branching, simulation orchestration, Guardian evaluation, confidence tiers, write-intent gateway, MAGS integration, and Decision Trace.
PLATFORM · XMPRO FRS
Front-running simulations for governed industrial action.
XMPro FRS lets MAGS agents run scenarios ahead of live operations, evaluate what-if branches, score outcomes, apply Guardian constraints, and commit only when validated model outputs, economics, safety boundaries, and governance rules support the action.
The agent does not calculate reality. FRS supplies the validated simulation outputs the agent reasons over.
Industrial agents need to test the future before they act in the present.
When agentic AI moves closer to operational action, the question is no longer whether a model can recommend an intervention. The question is whether the proposed intervention remains sound when tested against:
- Physics
- Economics
- Safety constraints
- Operating envelopes
- Governance boundaries
XMPro FRS gives agents a front-running simulation layer before higher-risk action. It helps determine whether an action should execute, route for approval, remain advisory, or be rejected.
FRS routes a proposed action to one of four outcomes
- Execute
- Route for approval
- Advisory
- Reject
Scenario. Model. Simulate. Score. Guard. Trace.
FRS turns a proposed action or operating scenario into a governed simulation path. It can reason forward to evaluate likely outcomes, reason backward to support causal attribution, explore counterfactual branches, and preserve evidence for review.
- 01
Scenario intake
Operating scenario described by an agent or operator becomes the simulation input.
- 02
Domain model selection or generation
FRS selects or generates a validated domain model fit for the scenario.
- 03
Forward and backward simulation
Reason forward to evaluate likely outcomes; reason backward for causal attribution.
- 04
What-if branching
Counterfactual branches explore alternative interventions and operating envelopes.
- 05
Objective scoring
Outcomes scored against economic, safety, and operational objectives.
- 06
Guardian constraints
Safety, regulatory, and process Guardian rules evaluate proposed action paths.
- 07
Confidence tier
Each outcome carries a confidence rating that gates downstream authority.
- 08
Write intent or human review
Action intent routes to a configured pathway, simulation review, or human approval.
- 09
Decision Trace
Every observation, branch, score, constraint, and outcome preserved as evidence.
FRS Core plus Domain Packs.
FRS<Vertical> = FRS Core + Domain Pack + Reference Deployment The vertical-specific validated model family.
Each Pack owns the physics, constraints, objectives, topology standards, primitives, prompt templates, and deployment context for its industrial vertical.
PRODUCT RULE
Agents do not calculate reality.
MAGS agents reason over validated outputs from FRS Domain Packs. Language tasks belong to the agent; deterministic calculations belong to FRS.
Agents reason in language
- Describe
- Coordinate
- Interpret
FRS computes from validated models
- Physics
- Hydraulics
- Thermodynamics
- Constraints
- Objectives
This keeps agent reasoning grounded in model outputs that engineers can inspect.
FRS Process — the Pack for continuous-process industries.
A Domain Pack is the validated model family for one industrial vertical. FRS Process is the first one we've shipped — a generative dynamic process plant simulator for oil and gas, chemicals, mining, and utilities.
Agents describe an Operating Scenario in natural language. FRS Process generates a physics-based simulation model on demand from validated unit-operation references. The model reasons forward and backward, evaluates what-if branches, scores economic outcomes, applies Safety Guardian constraints, and preserves a Decision Trace.
- Generative model assembly from operating scenarios and engineering context.
- Dynamic front-running with ODE time-stepping and fast proxy response models.
- Economic optimisation against price feeds, utility costs, and objective functions.
- Causal reasoning for anomaly attribution where enabled.
- Safety Guardian constraints, approval tokens, confidence-gated autonomy, and write-intent controls.
- Read-only engineering visibility into scenarios, trends, what-if branches, causal overlays, and Decision Trace.
The same Core supports multiple industrial domains.
Each Pack answers the same question for its vertical: what validated model family grounds reality here?
Oil and gas, chemicals, mining, utilities. Generative dynamic process plant simulator for continuous process industries.
Water utilities, wastewater, distribution networks, pump stations. Hydraulic and quality kernel integration planned.
Power generation, grid operations, microgrids, renewables, battery energy storage.
Supply chain, logistics, inventory, procurement.
Manufacturing, automotive, electronics, packaging, assembly.
The simulation layer between agents and operational action.
OCE provides trusted operational context. MAGS governs Cognitive Decision Loops. FRS lets agents test scenarios and proposed actions against validated domain models. Action Agents execute only through configured pathways. Decision Trace preserves the evidence.
- 01
Operational Systems
Historians, SCADA, DCS, sensors, edge devices, alarms, work and engineering systems.
- 02
Data Stream Designer
Observe, normalise, enrich, prepare operational signals into governed flows.
- 03
Operational Context Engine
Trusted semantic context, identity, lineage, and governed ontology.
- 04
Agentic Harness
Govern model reasoning inside visible workflows.
- 05
XMPro MAGS
Cognitive Decision Loops, Assistants, Advisors, and Cognitive Decision Teams.
- 06
XMPro FRS
Front-run scenarios and proposed actions against validated domain models.
- 07
Human Review · Action Agents
Review paths, approval, simulation review, and bounded action execution.
- 08
Decision Trace
Auditable record of every observation, branch, recommendation, approval, and outcome.
FRS helps autonomy earn authority.
Bounded autonomy requires clear authority limits. Bonded autonomy requires evidence strong enough for engineering, risk, audit, insurance, and governance review.
FRS supports both by testing action intent against validated domain models, Guardian constraints, confidence tiers, and traceable simulation outcomes before authority expands.
Where FRS sits next to the Platform and the methodology.
Where production operations run.
The platform that turns operational signals into governed decision flow, bounded action, and Decision Trace.
Explore the platform →Delivery method and path to production.
The methodology substrate that takes agentic operations from strategy to governed execution, repeatably.
Explore XMForge →Front-running simulation before higher-risk action.
The simulation and validation layer that strengthens governed action. Not a readiness assessment, not the production runtime by itself.
GET STARTED
Ready to give your agents a front-running simulation layer?
Explore XMPro FRS, or define a decision path that needs front-running simulation before authority expands.
