About
Talent Systems is an I-O psychology practice that builds AI assessment tools defensible enough to survive a validation study, an adverse impact audit, and a hard question from your legal team.
We did not start this to chase AI. We started it because we had each spent years watching good hiring science get ignored. Jess spent over a decade building assessments that actually predicted who could do the job. Cris validated AI models and saw how routinely they shortcut the measurement that makes a decision fair. Eric built the enterprise systems that were supposed to hold all of it together.
The pattern was always the same. The science to hire well already exists. The tools that claim to use it can almost never show their work. Talent Systems is our answer: one product where every score traces back to evidence and every decision survives an audit, held to the same standard our own work always was.
No outside money, no growth team, no committee. The three of us.
I-O Psychologist
Twelve years building skills-based talent systems by hand: the assessments behind who gets hired, promoted, and trained. As a professor and researcher, she studies what AI is actually doing to that work.
Owns the science the engine runs on, so scaling never means cutting the rigor.
AI & Data Science
He works where machine learning meets measurement: building AI systems and proving they do what they claim. His background runs through work analysis, personnel selection, and performance measurement.
Owns the AI engine and the validation that keeps its scoring defensible.
Head of Engineering
A career shipping enterprise software, in the gap between what the business wants and what engineering can actually deliver. He has led cross-functional teams through high-stakes launches.
Owns the engineering, turning the science into a product that holds up under real load.
The fastest way to judge whether the science holds up is to watch it run.