We help teams improve reliability, performance, and cost in data-driven operations: robustness monitoring, forecasting, control loops, and operational analytics.
Detect when key decisions become fragile under small, realistic changes in assumptions.
Improve short-horizon prediction and stabilize systems with delays and feedback loops.
Reduce waste and variance with instrumentation, guardrails, and targeted experiments.
Decision Robustness Audit
A structured review of critical automated or human decisions to identify fragility, hidden assumptions, and failure modes before they cause losses.
NDA-first engagements preferred.