Calibrated forecasting for decisions that matter.
Hierarchical Bayesian forecasting for operations, and probabilistic risk & reliability consulting — built on two decades of national-laboratory methodology.
MAGUS
Flagship proprietary forecasting and scheduling software.
Engineering & Analytics
Probabilistic risk assessment, Bayesian inference and uncertainty quantification, hydrogen safety methodology, small modular reactor economics, and reliability consulting for energy and safety-critical systems.
Founded by Dr. Bobby Middleton, P.E. — Ph.D., Nuclear Science & Engineering (MIT); 19 years at Sandia National Laboratories; author of Bayesian risk methodology adopted in NFPA‑2, the national Hydrogen Technologies Code. First named inventor on three U.S. Patents.
[email protected] · Durango, Colorado