We build the simulation. You get the findings — including the ones you didn't know to look for.
Gothic Grandma does not sell software. We take on simulation projects end to end — scoping the question, building the world model, running the ensemble, and delivering a findings package with statistical distributions of outcomes, sensitivity analyses, and the diagnostic detail needed to act on the results.
You bring us a hard question about a system you operate or a decision you have to make. We build a simulation of that system, run it hundreds or thousands of times across varied conditions, and tell you what the distribution of outcomes looks like — not a single predicted answer, but the full range of what could happen and how likely each outcome is.
MUSE is most valuable where decisions are high-stakes, systems are complex, and the cost of being wrong is high.
Infrastructure decisions, urban planning, transit changes, public safety scenarios, emergency response planning. Test interventions before they're built.
Policy impact modeling at the population level. Simulate how a regulatory change propagates through the systems it touches — before the vote or the rollout.
Outbreak modeling, intervention planning, resource allocation under uncertainty. Mechanistic simulation of how disease moves through real social and geographic networks.
Market scenario modeling, product launch planning, supply chain stress-testing, crisis response simulation. Replace assumptions with distributions of outcomes.
Strategic scenario planning, resilience modeling, and population dynamics analysis for national security applications. Gothic Grandma does not build weapons systems or offensive applications.
Model the downstream effects of a policy change across the populations and systems it touches. See where the second-order effects land before you commit.
Mechanistic epidemiology — real pathogen dynamics, real social networks, real healthcare system constraints. Where does it go? What slows it?
Stadium evacuation, transit capacity, urban design decisions, event planning. Test the design before you build it and the response before you need it.
Consumer populations with real behavioral models — demographics, habits, social networks, price sensitivity. See market response across thousands of scenarios.
Disaster response, supply chain disruption, organizational stress-testing. Run the crisis in simulation before it happens in reality.
Every project is custom. This is the typical shape of a full engagement.
We work with your team to define the question, the system boundaries, the key entities and behaviors, and what a useful result looks like. This is where we decide what to simulate and why.
We build the simulation — entities, behavioral systems, environmental parameters. We calibrate against real-world data where it exists. This is the majority of the technical work.
We run the simulation hundreds or thousands of times across varied conditions and parameter ranges — a Monte Carlo ensemble. You get a distribution of outcomes, not a single prediction.
We analyze the ensemble output — statistical distributions, sensitivity analysis, identification of the conditions that drive high-consequence outcomes. Delivered as a structured findings package your team can act on.
We present the findings with your team, answer questions, and scope any follow-on questions the results raised. Many engagements have a second phase — the first run always surfaces something worth simulating further.