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Problem Statement

Modern missions — across space, on the ground, and multi-domain operations — depend on modeling and simulation (ModSim) throughout their lifecycle. From early concept trades through operations, ModSim is how organizations answer critical questions before committing real resources.

And yet, despite its importance, ModSim remains one of the most fragmented, manual, and underutilized capabilities in most organizations.

Why ModSim Matters More Than Ever​

The systems of tomorrow are too complex, too interconnected, and too expensive to build without rigorous simulation. A single satellite is interesting. A constellation of hundreds operating in concert with ground networks, partner systems, and autonomous decision-making — that is the reality programs face today.

ModSim is the key to unlocking these systems. It is how you:

  • Validate designs before bending metal
  • Trade architectures across thousands of variables in hours, not months
  • Train operators on realistic, high-fidelity digital twins
  • Optimize operations by running what-if scenarios against live system models
  • De-risk acquisition by proving capability before committing billions

ModSim is the engineering foundation that modern programs are built upon.

So Why Isn't It Working?​

If ModSim is so important, why do most organizations still treat it as a series of disconnected, one-off studies? The bottleneck isn't the physics or the talent — it's the tooling.

The Status Quo​

Most organizations today rely on a patchwork of:

  • Spreadsheets used as engineering tools — brittle, opaque, and difficult to validate at scale
  • Desktop tools that don't scale beyond a single analyst's machine
  • One-off scripts lacking version control, no reproducibility, and auditability
  • Monolithic simulation frameworks that take months to configure for each new use case
  • Manual data pipelines where results are copied between tools via spreadsheets or email

The result is a ModSim capability that is slow, brittle, siloed, and expensive to maintain. Studies take weeks or months. Results are difficult to reproduce. Knowledge walks out the door with individual analysts. And the insights that do get produced are often stale by the time they reach decision-makers.

The Hidden Cost​

This isn't just an inconvenience — it's a strategic liability. When ModSim is slow and unreliable:

  • Programs make decisions without adequate analysis, because the simulation results aren't ready in time
  • Teams duplicate work across organizations, due to the absence of shared infrastructure or traceability
  • Innovation stalls, because standing up a new simulation campaign requires starting from scratch every time
  • Operational readiness suffers, because the path from simulation to operations is manual and fragile

The problem is not a lack of smart people or good models. The problem is the absence of a platform — a connective layer that turns isolated models and scripts into a continuous, scalable, and automated engineering capability.

What Would "Solved" Look Like?​

A modernized ModSim environment requires a platform where:

  • Any analyst can define a simulation pipeline and run it at scale — without managing infrastructure
  • Models from different teams, tools, and even organizations compose together seamlessly
  • Every simulation run is traceable, reproducible, and automatically archived
  • Results flow directly into dashboards that decision-makers actually use
  • The capability improves with every run, because it's built on shared infrastructure rather than individual effort

This is the functional standard of ModSim orchestration. And this is what the Sedaro Platform was built to do.