Dealops

We’re building the revenue infrastructure the next decade of B2B AI companies run on by starting with the most critical part in the revenue journey, deal pricing. Today, sales reps spend hours building their own pricing spreadsheets for each deal, only to discount too much and spend another cycle iterating with Finance. This is a massive problem for B2B companies, as we’ve seen up to 30% unnecessary overdiscounting with customers. I saw this firsthand when I worked in finance and pricing at Stripe, where I’ve priced over a thousand deals with the sales org.

This problem exists because pricing is a black box. Sales teams aren’t trained to make pricing decisions and aren’t incentivized to optimize for long-term revenue. As pricing models become more complex due to AI and the shift toward usage-based, outcome-based, and hybrid models, this challenge is only compounding. There’s a massive opportunity to build the revenue infrastructure for next-generation companies.

We’re positioned to lead this market shift as teams are finding out previous solutions are breaking down. That’s why the fastest growing enterprises and AI startups like Airwallex, Plaid, Harvey, LangChain, and Clay are partnering with us to build the foundations of their revenue infrastructure.

Backed by $7M from General Catalyst, Pear VC, and executives from OpenAI, Stripe, Slack, and more, we’re now focused on growing revenue 10x and shaping the future of deal pricing.