Conceptual visualization of high-speed flow around an aerospace research body

DEFENSE / APPLIED RESEARCH & ENGINEERING

Complex systems integration across the joint force

Integrate advanced capabilities across platforms, organizations and operational domains. From acquisition and systems engineering to mission simulation, exercises and wargaming.

Explore our capabilities
ARCHITECTURE / INTEGRATION / EXPERIMENTATION / DELIVERYCONCEPTUAL FLOW VISUALIZATION

Deliver advanced capabilities.
Integration that scales.

We combine acquisition strategy, physics-based systems engineering, AI-augmented DEM&S, mission simulation, exercises and wargaming to deliver integrated capability across the joint force. Mission objectives drive the architecture, the evaluation and the path to transition.

LANDMARITIMEAIRSPACECYBERSPACE

AI-augmented
Digital Engineering,
Modeling & Simulation.DEM&S

Mission objectives drive system integration.

PALLC integrates complex systems for defense research, acquisition and mission capability. AI-augmented Computational Science & System Engineering supports the work, from physical behavior to system-of-systems performance.

We connect model-based systems engineering, physics-based modeling & simulation, and mission experimentation. Define mission threads around the activities and decisions needed to accomplish the mission. Build mission engineering threads that assign systems, people and organizations to those activities and identify their interfaces. Evaluate alternatives against agreed requirements, measures of system performance and measures of mission effectiveness.

Physics-based model order reduction makes repeated analysis more tractable. Requirements V&V, observed data and controlled model updates help close digital-twin gaps in DEM&S. The result is an engineering basis for integration and transition decisions.

Our engineering approach

ENGINEERING
CAPABILITIES.

For defense program offices, laboratories, prime contractors and technology partners.

01

Complex systems integration

Architecture, interoperability and capability delivery across the joint force.

Start with the mission objective, operational environment and decision to be supported. Build mission threads and mission engineering threads that connect activities to systems, personnel, organizations and technical interfaces.

Evaluate baseline and alternative architectures at component, platform, mission and force levels. Make interface dependencies, timing assumptions, resource constraints and uncertainty explicit. Use modular open systems approaches to support replacement, upgrade and integration.

Connect capabilities across land, maritime, air, space and cyberspace. Account for the joint functions that shape the mission: command and control, information, intelligence, fires, movement and maneuver, protection, and sustainment.

  • Mission architecture and interface baseline
  • Requirements-to-evidence trace matrix
  • Interoperability and integration findings
  • Baseline / alternative trade assessment
  • Experimentation and transition package
02

MBSE & digital twins

AI-augmented requirements V&V and physics-based digital twins in DEM&S.

Verify model-based systems engineering (MBSE) requirements for consistency and traceability. Validate requirements against stakeholder and mission needs, then evaluate system behavior against those requirements using physics-based models and test evidence.

Integrate digital twins into DEM&S by linking physical assets, observed data, requirements and executable models. Apply physics-based model order reduction to support faster analysis with quantified approximation error. Identify and close gaps in model coverage, interfaces, data currency and predictive accuracy.

Use AI to assist model construction and reconciliation while engineers verify and validate the resulting models and evidence.

  • Requirements verification and validation (V&V)
  • Physics-based model order reduction
  • Digital-twin integration and gap assessment
  • SysML v2 / KerML and semantic traceability
  • Model-to-test comparison and data alignment
03

Multi-resolution simulation

Component, platform, mission and force-level representations.

Compose executable models around explicit boundaries, events and interfaces. Adapt model granularity to the question, from a subsystem interaction to coordinated mission behavior.

Combine discrete-event and continuous representations through defined exchange contracts. Evaluate timing, assumptions and consistency at each integration boundary.

  • Hierarchical DEVS model composition
  • Discrete-event and continuous-model coupling
  • Scenario configuration and controlled experiments
  • Replay, checkpoints and model-state inspection
04

Exercises & wargaming

Human decisions, scenario execution and analytical adjudication.

Develop exercises and wargames around mission analysis, commander’s intent and the decision or learning objective. Establish evaluation criteria before course-of-action analysis and wargaming. Examine action, reaction and counteraction, including dependencies and resource constraints.

Build scenarios, participant roles, injects, adjudication and assessment into an executable event package. Keep course-of-action comparison, commander decisions and after-action findings traceable. Use simulation to inform human judgment and identify questions for further testing.

  • Mission analysis and course-of-action development
  • Scenario, inject and adjudication package
  • Facilitator, participant and evaluator materials
  • Measures of performance and effectiveness
  • Assessment and after-action findings
05

AI engineering workflows

Advanced harnesses, zero-trust controls and legacy-system metadata.

Develop advanced AI harnesses that coordinate models, tools and engineering tasks through explicit permissions, bounded execution, human review and auditable records.

Design metadata workflows for legacy defense networks: turn approved inventories, configuration exports, interface definitions and technical records into versioned, source-linked knowledge packages.

Prepare those packages for disconnected analysis and for approved enterprise AI workflows, including GenAI.mil where authorized. Preserve source ownership, handling restrictions, provenance and review decisions throughout the process.

  • Policy-controlled agent and tool orchestration
  • Least-privilege access and explicit trust boundaries
  • Legacy-system metadata and dependency graphs
  • Offline preparation and evidence-linked retrieval
  • Source manifests, change records and human review
  • Environment-specific integration and evaluation

LEGACY SYSTEMS → GOVERNED KNOWLEDGE → AUGMENTED AI

Read-only source preparation. Structured metadata. Release review. Approved AI environment. Traceable outputs.

Offline preparation and GenAI.mil use are distinct workflow stages. Platform access and integration depend on the customer’s authorized environment.

06

CFD & flow physics

Incompressible and compressible flows—from low-speed to hypersonic regimes.

We model flows from low-speed through hypersonic regimes, using incompressible or compressible formulations as appropriate. Our CFD work covers subsonic, transonic, supersonic and high-Mach hypersonic flows, including sUAS/cUAS aerodynamics, shock interactions, aerodynamic heating and coupled systems. We select the governing equations, numerical methods and model fidelity for each flow regime and intended use.

Use physics-based model order reduction to accelerate repeated analysis of complex systems. Develop high-fidelity full-order models (FOMs), projection-based reduced-order models (ROMs) and hyper-reduced models, with Galerkin or least-squares Petrov–Galerkin (LSPG) projection where appropriate.

Verify numerical implementations and solutions. Validate predictive capability against experimental evidence for the intended use. Assess reduced-model error against full-order predictions and quantities of interest.

  • High-fidelity incompressible and compressible CFD
  • Subsonic, transonic, supersonic and hypersonic regimes
  • Projection-based nonlinear model reduction
  • LSPG projection and hyper-reduction
  • Code and solution verification
  • Model validation and uncertainty quantification
07

Space & mission analysis

Orbital context, geospatial scenarios and cross-domain relationships.

Develop analytical environments that align geography, scenario time, system state and source evidence. Explore orbital behavior, mission dependencies and alternative courses of action in a common scenario context.

Preserve the relationships among observations, assumptions, model revisions and analytical conclusions.

  • Orbital and geospatial scenario visualization
  • Mission dependencies and interaction models
  • Time-aligned evidence and event replay
  • Alternative-scenario comparison
08

Munition design

Design studies for low-cost, effective munitions in existing and new weapon systems.

Advance affordable munition concepts through requirements analysis, system-level design studies and integration planning. Evaluate effectiveness, cost and development readiness in the context of the host weapon system and its intended mission.

Connect acquisition objectives, manufacturing readiness and evaluation evidence to support development decisions for new concepts and improvements to existing systems.

  • Affordability and lifecycle-cost trade studies
  • System interfaces and integration requirements
  • Manufacturing readiness and supplier assessment
  • Verification, validation and evaluation planning

MISSION THREADS.
ENGINEERING EVIDENCE.

Adaptable, multi-resolution DEM&S connects physical behavior, system interactions and human decisions to the mission being evaluated.

ENGINEERING RESOLUTION

Requirements.
Physical evidence.

Verify requirements for consistency and traceability. Validate them against stakeholder needs. Compare model predictions with relevant test evidence, quantify uncertainty, and establish where a reduced model is fit for the decision.

INPUTRequirements & intended use
MODELFull-order / reduced-order models
REVIEWV&V & uncertainty assessment

Resolution is selected for the engineering question; validation applies to the defined model and intended use.

What the engagement delivers

Reviewable artifacts from mission analysis through transition.

  1. 01 / FRAMEMission baseline

    Objectives, mission threads, constraints and evaluation criteria.

  2. 02 / BUILDEngineering baseline

    Requirements, executable models, interfaces and data provenance.

  3. 03 / INTEGRATEIntegrated environment

    Configured components, interface checks and discrepancy records.

  4. 04 / EVALUATEDecision evidence

    V&V results, alternative comparisons, uncertainty and assessment.

  5. 05 / TRANSFERTransition package

    Editable artifacts, acceptance evidence, operating guidance and open actions.

PALLC / DEMONSTRATED CAPABILITY

PLAN THE MISSION.
CONNECT THE SYSTEMS.

Explore the architecture.
Trace the information flow.
Inform the next decision.

ZMS / SPACE THREAT SYNTHESISUNCLASSIFIED · NOTIONAL CAPABILITY DEMO
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01 / MISSION INTEGRATION

Bring the mission into view.

Rehearse the scenario, explore LEO, MEO, GEO and HEO reference coverage, and trace observation handoffs through constellation relays, space C2 and the optical ground segment. Make system relationships and information timing visible to planners and integration teams.

02 / COMPUTATIONAL SCIENCE

Connect engineering to the decision.

Inspect the native computational mesh, pressure, three-component velocity, reconstructed vorticity and surface heat transfer. Use numerical modeling and model order reduction to investigate the physical behavior behind the mission question.

DELIVER ADVANCED CAPABILITIES. INTEGRATION THAT SCALES.

Bring your mission to PALLC.

info@philipbaranalytics.com
Conceptual Earth-limb visualization with orbital paths

MISSION ANALYSIS / EXERCISES / WARGAMING

EXERCISES &
WARGAMING.

Connect mission conditions, modeled system behavior and participant decisions. Design the experiment, define adjudication, and preserve the evidence needed to interpret the outcome.

Discuss an engagement
CONCEPTUAL ORBITAL VISUALIZATION

TECHNOLOGY
IN DEVELOPMENT.

Engineering prototypes and proposed programs, with the development stage stated for each effort.

01 / DIGITAL ENGINEERING

ModelShift

ENGINEERING PROTOTYPE

Source-linked model composition, typed relationships and model exchange. Engineering evidence stays connected to the model as information is transformed and reviewed.

Technical scope

Structured source admission, finite typed-model composition and exchange workflows. Migration gaps and unresolved model relationships remain explicit review items.

02 / GEOSPATIAL SIMULATION

ZMS

RESEARCH PROTOTYPE

A scenario environment connecting orbital context, executable model packages, event histories and source evidence in a geospatial analyst interface.

Technical scope

Scenario packages, bounded discrete-event execution, evidence revisions and retractions, time-aligned replay and model relationships. Mission-performance validation is application-specific and required before operational use.

03 / MISSION EXPERIMENTATION

ForceWeaver

PROPOSED DEVELOPMENT PROGRAM

AI-assisted DEM&S for cross-domain engineering, experimentation and training, with an initial application to uncrewed-aircraft and counter-UAS scenarios.

Technical scope

A proposed integration of modeling foundations, scenario construction and mission experimentation. Development and evaluation are required before operational use.

TECHNICAL PROGRAMS.
RESEARCH PARTNERSHIPS.

Program offices. Prime contractors.
National laboratories. Technology investors.

PALLC. Deliver advanced capabilities. Integration that scales. Mission planning, connected systems and computational science. Contact info@philipbaranalytics.com.

MISSION PLANNING / CONNECTED SYSTEMS / COMPUTATIONAL SCIENCE

Start a conversation with PALLC.

info@philipbaranalytics.com

Email PALLC at info@philipbaranalytics.com. Links open your mail application; you choose when to send.

PALLC / PRIVATE DESIGN REVIEW

Technical project

Contact PALLC

info@philipbaranalytics.com

Tell us about the mission, interfaces and decision you need to support. The link opens your mail application; you choose when to send.