Independent analysis at the intersection of data, systems, and decision-making.
Resonant Research explores how complex decisions are formed, tested, and improved under uncertainty. Our work focuses on synthetic data, modeling frameworks, and mission-level analysis where stakes are high, data is imperfect, and judgment matters as much as prediction.
We are not a consultancy, a platform, or a product company. We publish research and analysis intended to clarify decision spaces before real-world commitments are made.
From models to decisions
Most analytical work stops at model performance. We are interested in what happens next: how outputs are interpreted, how tradeoffs are surfaced, and how decisions behave when conditions change.
Our work emphasizes decision robustness over point accuracy, stress testing over retrospective fit, and structure and sensitivity over optimization.
Synthetic data, when constructed deliberately, plays a central role in this process—not as a substitute for reality, but as a way to interrogate it safely and systematically.