Allocation decisions shouldn't rely on spreadsheets and intuition.

Before Crewpathio, Nicole Yamamoto spent seven years managing resource planning operations at a mid-size management consulting firm. Every Thursday morning, a committee of six senior managers would gather for two hours to decide who was going on which engagement. The process was inconsistent, exhausting, and often produced suboptimal outcomes — not because the managers were poor decision-makers, but because they lacked structured data.

Marcus DeLeon had seen the same problem from a different angle. With a background in recommendation systems and graph algorithms at a B2B analytics firm, he recognized that the consulting allocation problem was structurally identical to problems he'd solved in other domains — it just needed someone to model the right signals. They co-founded Crewpathio in 2021 with a specific thesis: operations-research methods applied to people data could replace allocation committees.

Priya Sundaram joined after five years as a resource manager herself. Her domain knowledge shaped the product's vocabulary and UX — the scoring model was designed to surface information that managers actually think about, not abstract ML outputs. James Okonkwo, who had implemented Kantata and Planview at multiple firms, ensured the integration layer was designed for real-world PSA data quality from day one.