Founder and Principal, Grayduck Partners
I help teams build decision-grade AI: evaluation that finds where a system can be trusted, and design that acts on it, so the people who rely on it can decide with confidence.
Give decision makers actionable intelligence in the face of data, uncertainty, and risk. The setting changed; the problem did not.
Atmospheric science and operational forecasting. Work where you develop a situational relationship with uncertainty, or missions fail.
Machine learning and rigorous applied statistics to decide when the firm should deploy capital and when it should hold back, with real money on the line.
The product shipped numbers with no read on how sure they were. When they were wrong and nothing had flagged it, customers left.
Uncharacterized confidence is not a technical nicety. It is a retention problem, a capital problem, and in the first case a safety problem.
Most people who can build production AI can't design the study that proves it works. Most people who can design that study can't build. I do both. Every recommendation I make is something I could sit down and build myself. The architecture and the evidence, together, is what it takes to deploy AI when results matter.
If your team is putting AI in front of decisions where being wrong is expensive, or a capable tool is sitting unused because no one is sure when to trust it, that is what I do. A 30-minute call, no pitch.
info@grayduckpartners.com
Grayduck Partners