When Spyri Karasavva was at Stripe, pricing meant long hours building and enforcing guidance for SaaS products. “Pricing was always hard,” she recalled. “Today, with AI-native companies shifting to usage-based, hybrid, and outcome-driven models, and iterating weekly, the complexity has only grown. Yet most sales teams are still stuck in spreadsheets, Slack threads, or bloated CPQs built for a slower era.”
Karasavva founded Dealops in response to that gap, aiming to give go-to-market teams the ability to “ship pricing strategies fast, test them in live deals, and scale what works.” The San Francisco-based startup has now raised $7 million from Pear VC, General Catalyst, and other backers including leaders from OpenAI, Anthropic, Stripe, and Salesforce to advance that mission.
From Static Tools to Real-Time Pricing
Flat-rate and seat-based pricing, long the norm in software sales, is giving way to models that change frequently. In AI and enterprise software, companies like OpenAI and Anthropic are introducing usage-based and hybrid approaches, and adjusting terms in near real time. While product and revenue teams move quickly, quoting processes often lag behind, relying on legacy Configure-Price-Quote (CPQ) systems that expect annual or semiannual price changes.
