We built Proculr because procurement teams deserve better than spreadsheet audits.
Rachel Goldstein spent six years in finance operations and procurement at mid-market industrial and services companies before co-founding Proculr in 2023. The same conversation kept coming up in every year-end review: "We know we're overpaying on tail spend — we just can't justify the analyst time to do anything about it." Proculr is the answer to that conversation.
Why tail spend, why now.
The problem isn't that procurement teams are bad at their jobs. It's that tail spend requires a specific kind of analysis — broad in supplier coverage, continuous in monitoring, and anchored to real market benchmarks — that's impossible to run manually when your team has four people and 400 vendors. The tools that exist either require a $250K+ implementation (SAP Ariba, Jaggaer) or give you spend categorization without the benchmark data you actually need to negotiate. We built Proculr for the companies in between: mid-market operations teams managing $10M–$200M in addressable spend, with real category complexity and no budget for an enterprise procurement suite. We are not a spend reporting tool. We are a spend action tool — the output is always a specific negotiation to run or a consolidation to execute.
The team.
Rachel Goldstein
Six years in finance operations and procurement at mid-market manufacturing and services companies. Ran category management and vendor benchmarking before co-founding Proculr in 2023.
David Park
Previously senior engineering lead at a B2B spend management platform, where he built the invoice classification and category benchmarking systems. Co-founded Proculr to bring the same infrastructure to mid-market procurement teams.
Sofia Mendes
Previously product manager at a B2B analytics platform, where she spent three years building reporting and workflow tools for finance and operations teams. Joined Proculr at founding to lead product development.
Proculr is angel-backed, having raised our initial round in mid-2025 to accelerate benchmark dataset coverage and deepen ERP integrations. We're building deliberately — we'd rather prove realized savings for a focused set of customers than scale the customer base ahead of data quality. Our benchmark dataset is the product's core asset; we won't dilute it by rushing.
Want to talk procurement?
We're always willing to talk through tail spend benchmarking methodology, spend cube structure, or what it actually takes to get useful data out of a mid-market ERP.