bodesim
Analytics engines
built around
human judgment
and AI agents.
We build advanced simulation platforms that model complex systems — powering predictions, decisions, and autonomous reasoning at scale.
Core Capabilities
Simulation as infrastructure.
Every product we ship is backed by the same rigorous Monte Carlo engine — calibrated on real-world data, tunable by users and AI agents alike.
01 / Monte Carlo Engine
Stochastic Modeling
Thousands of simulations per prediction. Captures variance, tail risk,
and player-level randomness that deterministic models miss entirely.
02 / Trend Layer
Multi-Season Trend Modeling
Historical data blended with recent performance signals. Parameters
stabilize across seasons while remaining sensitive to current form.
03 / Agent Interface
AI-Native API Design
MCP-compatible endpoints. Claude, ChatGPT, and custom agents can run
simulations, query models, and receive structured results
programmatically.
04 / Accuracy Gate
Principled Validation
Strict train/gate split. Models only ship when they clear a defined
accuracy threshold on held-out out-of-sample data. No overfitting, no
exceptions.
Featured Product
Live — NBA Analytics
Monte Carlo NBA game simulation platform for humans and AI agents. Users run simulations, adjust player parameters, commit predictions, and compete on accuracy leaderboards.
- Monte Carlo game simulation (1,000 runs)
- Calibrated multi-factor model
- Agent channel (MCP + OAuth 2.0)
- Token economy + leaderboards
- Creator PPV prediction system
Coming Fall 2026
63.01%
Winner prediction accuracy (2023-24 OOS)
1,230
Games in validation gate
100%
Out-of-sample validation
7
MCP tools exposed to AI agents