MUSE can model anything — cells, neurons, amoebae, flocks of birds. But we specialize in modeling people. When you model people with real internal states in real environments, you get data that matters.
MUSE has been applied to or is actively being developed for:
Gothic Grandma is actively pursuing federal grant funding across three research domains.
Using emergent simulation to build reading engagement through agency. Children read more when they have meaningful control over a world that responds.
Simulation environments for social situation practice and neurodivergence training — worlds that accommodate different processing styles naturally.
Agent-based epidemiological modeling with real behavioral systems. Not network models — full entity simulation with internal immune, social, and behavioral states.
Research access is provided through a restricted GLYPH license. Researchers can configure starting parameters, define experimental conditions, and run FONT headless at scale. Results are exported as curated datasets.
The simulation architecture stays proprietary — researchers work with the engine, not its internals. This keeps the platform consistent across research groups and protects the investment that makes the platform possible.
Tools like NetLogo, Mesa, MASON, and FLAME GPU 2 are valuable and have long track records. MUSE offers different trade-offs.
Millions of entities with full internal states. No CUDA required.
Behaviors are modular, mix-and-match across entity types.
GLYPH provides a full R&D environment — configure, run, analyze, export.
Systems derived from neuroscience, behavioral science, and cognitive science literature.