to build what Frisiani calls the world's first enterprise-ready AI operating system for vets. The mission is simple but massive: replace the seven to nine disconnected SaaS tools currently clogging clinic workflows with a unified, intelligent platform that automates the mundane and unlocks massive new revenue streams for practitioners.
From consumer failure to the enterprise wedge
The road to a $25 million war chest wasn't a straight line.
initially launched as a consumer-facing mobile app designed to help pet owners book appointments. However, the team quickly realized that the veterinary market was suffering from a supply-side crisis, not a demand problem. Post-COVID, vet clinics were overwhelmed with patients; they didn't need more bookings, they needed time.
Nicolò Frisiani, Co-Founder & CEO at Lupa, on Building the AI Operating System for Vets, Enterpri...
Frisiani and his co-founders pivoted away from the "app for pet owners" model toward a deep-stack operating system. To get their foot in the door, they identified AI-powered note-taking as their "wedge" product. By automating clinical documentation—the most tedious part of a vet’s day—
created an immediate value proposition that allowed them to later upsell the entire holistic system. This strategy highlights a core tenet of modern vertical SaaS: solve the immediate pain point first to earn the right to manage the entire enterprise.
Scaling the private equity gauntlet
A significant portion of the veterinary market has shifted toward consolidation, with
Frisiani argues that legacy systems are architecturally incapable of serving these large groups because their data is siloed at the individual clinic level.
owners to see real-time analytics across thousands of sites and partition data as they see fit. It’s no longer just a tool for the vet; it’s a strategic data asset for the investor.
The three phases of Lupa's roadmap
Frisiani’s vision extends far beyond just organizing a clinic's schedule. He sees a three-phase evolution for
. Phase one is the current focus: solving the technology debt and automating manual operations. Phase two involves building the infrastructure to help vets monetize pet owners more broadly, including insurance referrals, food delivery, and home prescriptions.
Phase three is the most ambitious: building a global data infrastructure for medical research. Because veterinary data is not subject to
notably raised two funding rounds in very quick succession, a move Frisiani defends as capitalizing on momentum rather than reacting to a need for cash. In the fast-moving world of AI and vertical SaaS, speed is a moat. By securing resources ahead of the curve,
, the founders lean heavily on operational rigor and a high bar for output excellence. Frisiani notes that while consulting teaches mental rigor and hard work, it fails to teach the most critical skill for a founder: sales. Whether pitching to