Which projects fit?
For comparing designs, diagnosing coupling or preparing tests. Establish an interpretable single-component, single-scenario baseline for higher-risk models.
Simulation Outsourcing
Simulation Outsourcing Services
New Horizon supports design verification, alternative comparison and multidisciplinary integration with models, scenarios, configurations, raw results and analysis methods. Conclusions state parameter provenance, numerical settings and validity limits so recipients can rerun key results.
Last updated: 2026-10-13 · Provider: New Horizon Digital Outsourcing Team
View delivery and acceptance detailsIndex
Service list
- Operational Scenario Simulation Scenarios, simulation scripts, and situation assessment reports
- Electromechanical–Thermal Simulation Multiphysics operating-condition sets and interpretation of results
- Rigid-Body and Fluid Simulation Models, boundary conditions, and visualized results
- Aerospace Simulation Flight/mission profile simulation and verification materials
- Uncrewed Swarm Simulation Swarm-strategy scenarios and comparative experiment packages
- Cross-Scenario Co-Simulation Multi-system co-simulation interfaces and integrated operating conditions
Deliverables
Deliverable types
| Type | Description |
|---|---|
| Scenarios and models | Scenarios, geometric/physical models, and parameter tables |
| Projects and scripts | Reproducible runnable projects (source-code scope by agreement) |
| Analysis materials | Metrics, curves, comparative findings, and risks |
| Acceptance materials | Reproduction steps, version baselines, and result verification records |
Who it is for
- Projects needing simulation and risk reduction before testing
- Teams needing outsourcing support to fill gaps in multidisciplinary coupled verification resources
- Organizations seeking reusable scenario libraries to reduce the cost of subsequent research projects
Our approach to value for money draws on years of project experience and lean team operations: reusing model libraries, scenario templates, and toolchains to reduce duplicated development. Our aspiration is “around 10% of the budget and 30% of the time, aiming for a 100% increase in efficiency.”
Frequently asked questions
How does simulation outsourcing differ from buying commercial software?
Buying software provides a tool license; outsourcing delivers scenarios, models, reproducible projects, and findings tailored to your task. New Horizon can also provide custom-development source code within an agreed scope.
At which stages is uncrewed swarm simulation useful?
It supports concept assessment, algorithm comparison, task-chain verification, and presentation and defense. Fixing metrics and scenario boundaries earlier reduces iteration costs.
How is cross-scenario integrated simulation made reproducible?
Agree on interface versions, random seeds/initial values, operating-condition tables, and runtime environment inventories, then rerun key conditions step by step during acceptance.
Can aerospace simulation connect to digital twins?
Yes. Models and operating conditions developed through simulation can provide baseline inputs for digital twin operation. See the Digital Twin Outsourcing domain for details.
Related guides
- How to Validate Isolation, Reconnection, and Resource Release in a Multi-Session Simulation Service
Validate session boundaries in a shared simulation service through non-interference between concurrent sessions, state reassociation after disconnection, and post-termination resource checks.
- Why Do Simulation Monitor Values Disagree? Align Lists, Charts, Alerts, and Exports
Check the path from algorithm outputs to monitoring displays through field identity, display sampling, alert definitions, and stored results.
- How to Integrate Algorithm Components into a Simulation Platform: Data, State, and Scheduling Responsibilities
Build an independently reviewable component integration workflow around algorithm boundaries, exchanged data, internal state, and execution order.
- How to Start and Stop Simulation Runs Reliably: Initialization, Stepping, Pausing, and Completion
Define preconditions, configuration activation, and completion evidence for simulation states so the interface remains consistent with execution.
- How do you define scope and acceptance criteria for an AFSIM operational simulation project?
An AFSIM project must first clarify whether it serves public research, educational demonstrations, or authorized mission analysis, and confirm permissions to use the software, models, and data.
- What inputs does electromechanical–thermal coupled simulation require, and how do you avoid isolated calculations?
The key to electromechanical–thermal coupling is connecting mechanical loads, electrical losses, and temperature feedback.
- Does a smaller simulation time step always improve accuracy? How do you check convergence and computational cost?
A smaller time step does not necessarily produce credible results.
- How many runs does a stochastic simulation need, and how should uncertainty be reported?
There is no fixed number of stochastic simulation runs that suits every project.
- How should metrics be agreed for satellite coverage and remote sensing mission simulations?
Coverage analysis should define the target area, time window, observation constraints, and statistical conventions.
- How do you choose between software-in-the-loop and hardware-in-the-loop, and when is physical hardware worthwhile?
Software-in-the-loop is suited to rapid checks of algorithms and interface logic; hardware-in-the-loop enables further checks of real controllers, communications, and timing behavior.
- How do you assess simulation credibility, and what evidence is needed for verification and validation?
Establish an evidence chain covering simulation inputs, model assumptions, numerical checks, experimental comparisons, and applicability limits, rather than substituting animation for findings.
- How does outsourcing digital simulation differ from purchasing software?
Compare simulation outsourcing with software procurement to help decide between external services and in-house modeling.
Other service domains
Engineering delivery brief
How does simulation support deliver reproducible conclusions?
What inputs are needed?
Collect geometry and topology, materials and loads, initial and boundary conditions, target metrics and available test or analytical references. Separate measured values, supplier data and assumptions awaiting calibration.
Applicability and Limits
Successful execution, plausible visuals and smooth curves are not physical validation. Without independent references, report numerical consistency and sensitivity rather than real-system accuracy.
What drives time and cost?
Degrees of freedom, coupling, scenario count, computing resources and calibration data drive effort. Agree on error criteria and compute budgets before choosing meshes, time steps and experiment sets.
Deliverables and acceptance
Model and parameter register
Acceptance Evidence
Review units, provenance, assumptions and validity ranges.
Scenario and reproduction project
Acceptance Evidence
Fix versions, initial states, seeds and solver settings, then independently rerun key scenarios.
Results and validation report
Acceptance Evidence
Retain raw outputs, metric extraction, convergence comparisons and reference errors; distinguish validated and uncalibrated items.
Related case study
Pump Housing Heat Conduction and Finite Element Mesh Verification
Connect CAD preparation, material and boundary definitions, mesh comparisons and temperature-field review for a complex internally heated housing, with reproducible thermal-analysis deliverables.
Read the full case studyFurther Reading and Technical References
Related standards and technical documentation for solution selection and implementation.
Discuss simulation outsourcing
Describe your phase objectives and constraints without classified details, and we will provide scope recommendations.