With a background in high-performance sales and recruiting systems, Nicholas Cammarata built his career around diagnosing human and operational drift — long before AI made it digital.
After over a decade designing data-driven recruiting frameworks and performance architectures for national sales organizations, he recognized a new market need: companies were losing control of their AI systems the same way teams lose control of execution — slowly, and without visibility.

That realization led to the creation of Drift Part AI — a company built to identify, diagnose, and recalibrate AI systems before small misalignments turn into costly failures.

Nicholas brings his analytical mindset, process discipline, and SPIN-style diagnostic frameworks into AI model monitoring, helping businesses maintain alignment, accuracy, and ROI through continuous calibration.

When he’s not building the calibration systems of tomorrow, he’s refining the frameworks that built his career — turning precision into a business advantage, whether it’s people or machines.