Inspect forces and conditions
View force locations, terrain, weather, logistics, and supported radar, air, and maritime tracks in the scenario.
Decision superiority
Compare plans through simulation and wargaming.
Model operational conditions, compare courses of action, and rehearse decisions with human participants and AI-enabled forces. Review reproducible runs and exercise records within the limits of the selected models.
Scope a decision studyChoose a study focusIllustrative workflow
01 / Context
Compare scenario alternatives
02 / ExploreCompare force locations
Vary force placement and sensor assumptions within the same scenario.
Study inputsForce locations, sensor coverage, terrain
03 / ReviewCoverage gaps and capability assessment
Planning cycle
Decision-study capabilities.
Define the operational question, alternatives, and evidence to review. Use simulation and controlled exercises to examine the selected assumptions.
Explore courses of action
Compare plan variants, resource constraints, and environmental conditions. Examine how outcomes change as assumptions change.
Configure simulated force behaviour
Assign doctrine, mission agents, or learned policies to red, blue, and neutral forces, including coordinated UAS groups.
Rehearse targeting decisions
Connect contact classification, prioritisation, asset assignment, rules of engagement, and approval workflows inside the simulation.
Test uncertainty
Explore parameter ranges and seeded runs. Use EvalRun for Monte Carlo campaigns, reinforcement learning, and policy evaluation.
Review runs and decisions
Inspect decision records, event timelines, replay, and after-action reports to revise the scenario or plan.
Platform capabilities
Implemented capabilities and remaining work.
Coverage includes force modelling, plan analysis, targeting rehearsal, and assessment. Agree the required data, models, and integrations before an evaluation.
| Capability area | AnyWorldSim contribution | Coverage |
|---|---|---|
| Opposed-force simulation | Red, blue, and neutral entities; multi-domain sensor, weapon, movement, and logistics models. | Implemented |
| AI-enabled force behaviour | Doctrine and mission agents, rule/ONNX policies, swarm coordination, and assisted command approvals. | Implemented |
| Repeated analysis and learning | Seeded runs, parameter sweeps, Monte Carlo and RL workflows through the separately packaged EvalRun product. | Implemented |
| Course-of-action exploration | Plan-variant comparison, strike assignment, coverage analysis, and counter-swarm raid-size studies. | Implemented |
| Scenario preparation | Structured authoring, platform catalogues, timed triggers, and natural-language assistance with a configured model. | Implemented |
| Planning and assessment | Role-based exercises, command approvals, decision records, replay, scoring, and after-action review. | Implemented |
| Targeting decision support | Contact classification, prioritisation, asset assignment, and ROE-gated authorisation within simulated scenarios. | Implemented |
| ISR exploitation | Supported radar tracks, SAR-chip classification, sensor analytics, and bounded track correlation. FMV, real SIGINT, and general multi-source fusion require further work. | Partial |
| Natural-language interaction | Scenario generation and plan-analysis assistance through a configured language model; operators review proposals. | Implemented |
| Commercial and open-source context | ADS-B and AIS connectors plus structured platform and weather inputs. Social-media, OSINT-report, and infrastructure-incident ingestion require further work. | Partial |
Implemented means present in the simulation codebase. Release scope, model validation, and deployment-specific integrations are agreed per evaluation.
Integration & validation
Define interfaces and acceptance criteria.
Agree the data interfaces, approved models, operator roles, and acceptance criteria. Demonstrate the decision workflow and verify outputs against your reference cases.
Review the integration approachAdditional integration and validation work
- Host-platform adapters and deployment-specific interfaces
- Source reliability and temporal multi-source fusion
- Full-motion video, real SIGINT, and OSINT-report ingestion
- Pattern-of-life analytics and customer reference-case validation
Existing connectors and classifier interfaces provide starting points; these broader capabilities need additional work.
Evaluation
Scope a decision study