By Orit Naomi - HTN staff writer - 8.22.2025
Since its launch in 2016 by Roman Pedan, then a student at Stanford Business School and a former KKR real estate dealmaker, Kasa (formerly Kasa Living) has quietly been reshaping the landscape of institutional hospitality. Founded in San Francisco, the company built its business on the premise that technology, not occupancy guarantees, should drive operations for boutique hotels and apartment-style stays. Its razor-thin approach: instead of long-term leases, Kasa operates via management agreements where it earns a revenue share for guest communications, housekeeping, revenue management, and more, much like hotel giants such as Hilton or Marriott but with a digital-first mentality.
Over time, Kasa has scaled with clarity. It currently manages 85 properties across 40 U.S. cities, achieving more than one million room nights booked. Its current footprint includes destinations spanning from Atlanta and Denver to New York and San Diego, captured in its national portfolio listing.
Kasa had previously raised around $125 million, navigating major funding cycles with resilience and strategic fortitude. Now Kasa has again upped the stakes with a $40 million infusion led by Silver Lake Waterman, aimed squarely at supercharging the company’s AI-driven operating platform. “We are building a better way to operate hospitality properties: one that’s lighter, smarter, and more profitable,” Pedan said in a press statement. The company now aims to empower boutique and independent operators with tools traditionally exclusive to big brands.
Kasa’s platform not only helps owners increase profitability, by some internal measures over 50 percent uplift in gross operating profit margins, but also enhances guest satisfaction. Many of its properties rank among the top in TripAdvisor category rankings in markets like Chicago, Seattle, Denver, and Austin.
In the fiercely competitive hospitality technology arena, Kasa’s proposition is distinct. Unlike startups that build fragmented point solutions such as booking engines, PMS platforms, or revenue optimizers, Kasa has embraced a fully integrated operating backbone that blends revenue management, guest services, housekeeping workflows, and trust and safety infrastructure into one AI-augmented system. Its asset-light model, streamlined via cloud-based control, contrasts sharply with brand-heavy, lease-centric models or startups still dependent on manual workflows.
The contrast is particularly sharp when compared with competitors such as Sonder and Vacasa, both of which have struggled with profitability challenges in recent years despite large-scale portfolios. Sonder, which went public via SPAC in 2022, pursued aggressive expansion with long-term leases, a strategy that left it exposed to market downturns. Vacasa, one of the largest vacation rental managers in North America, has faced ongoing investor pressure after uneven financial performance and operational difficulties. By avoiding capital-heavy leases and focusing on AI-driven efficiencies, Kasa is positioning itself as the nimbler alternative for owners who want the benefits of brand-level infrastructure without the downside risk.
By replicating the centralized control model of cloud infrastructure, akin to AWS, that eliminated fixed costs for startups, Kasa aims to do the same for hospitality operators: “removing that fixed cost,” as Pedan put it.
Today, Kasa operates more than 100 million dollars in annual booking revenue, doubling its business in the past year. Its reach extends through partnerships with industry giants like Starwood Capital, Greystar, Berkshire, and Prudential, showing institutional confidence in its software-first model.
What’s clear is that Kasa is not just another startup. It is a prototype of hospitality’s emerging architecture: independent operators supported by lean, scalable, AI-first operations. As legacy brands struggle to innovate in rigid legacy systems, and competitors like Sonder and Vacasa continue to battle financial headwinds, Kasa may well be pointing the way forward, where flexible lodging meets intelligent automation and profitability becomes a function of software, not scale.