We benchmark a year of your general ledger details against our $5.9 trillion database.
We negotiate evidence-backed savings with your current vendors to new reduced rates.
Our software's machine-learning algorithms continuously find new savings opportunities.
We house $5.9 trillion in expense data from more than nine million companies. Our data science team has normalized and built models that turn that data into an actionable asset allowing us to:
This analysis generates the savings gap between your current rates vs. the best-in-class rates the same vendor has offered your competitors.
Asking vendors to justify “why our client is being charged 24% more than hundreds of like sized businesses,” is where our conversation starts.