CHEMSIM Sandbox
Monte Carlo team simulation engine — test up to 10,000 team configurations before committing to a reorg or hiring decision.
Monte Carlo Scenario Comparison
Input signals
- Employee SDI profiles
- Existing team chemistry data
- Proposed org configurations
- Historical team performance data
What RUDY surfaces
- Chemistry distribution projection
- Conflict probability score
- Performance uplift estimate
- Side-by-side scenario comparison
- Exportable simulation report
Sample AI output
CHEMSIM simulation complete for Config A (12-person team): Chemistry score 91%, conflict probability 8%, performance uplift estimate +27%. Config C shows 28% conflict risk. Recommend: Config A with minor adjustment to pair Alex and Jordan.
How it works
Build a hypothetical team in the composer
Drag and drop employees into proposed team configurations using the CHEMSIM visual composer. Up to 10 scenarios can be built side by side.
CHEMSIM runs Monte Carlo iterations
The simulation engine runs up to 10,000 iterations per configuration, projecting chemistry distribution, conflict probability, and expected performance uplift.
View and compare scenario results
Side-by-side comparison shows chemistry score, conflict risk percentage, and performance uplift projection for each configuration. Export the report for leadership review.
A day with RUDY
“Before committing to a reorg, a CPO tests 3 team configurations in CHEMSIM. Config A shows 91% chemistry and +27% uplift. Config C shows 28% conflict risk. The decision is made in 20 minutes with supporting data — no gut-feel required, no surprises after the reorg launches.”
Research foundation
Monte Carlo simulation methodology applied to organizational chemistry and conflict prediction models.
Frequently asked questions
See RUDY AI in action.
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No surveillance. No black-box scoring. Human review where it matters.
