Rove is building AI-powered infrastructure to enable consumers to discover, book, and pay for local services, starting with the $90B US beauty services market. 

THE INSIGHT: WHY IT'S DEFENSIBLE

Local services transactions suffer from poor discovery, low trust and inconsistent quality.

Over the last decade, technology transformed local services by enabling millions of independent entrepreneurs to build businesses outside traditional storefronts and institutions.

However, the infrastructure that powers discovery, trust and commerce for independent beauty professionals never evolved beyond social inspiration and fragmented SaaS tools.

THE INFLECTION: WHY NOW — CORE SHIFT

AI makes intelligent infrastructure for local services possible for the first time.

AI can finally understand local service data. For decades, beauty data existed everywhere (portfolios, reviews, social content, conversations, and booking behavior) but it remained unstructured. Advances in multimodal AI now make it possible to interpret this data at scale, enabling a new generation of intelligent discovery and booking. For the first time, AI can understand visual taste, provider portfolios, customer preferences, and real-world outcomes — creating a personalized concierge that can match the right consumer with the right professional.

THE IDEA: WHAT WE'RE BUILDING

Rove provides the trust and intelligence layer for the independent beauty economy.

Just as search organized the web, AI can now organize the local service economy. Rove transforms fragmented provider data into trusted recommendations, personalized matching, and seamless booking through a single intelligent platform.

+ LAYER 01

The marketplace

Rove is the trusted transaction layer for independent beauty services. Consumers can discover, book, and pay for top beauty professionals through a single platform, with accountability built into every booking.

By sitting between consumers and professionals, Rove eliminates the friction and uncertainty that define today's beauty booking experience, including no-shows, cancellations, price surprises, and inconsistent service quality.

+ LAYER 02

The intelligence layer

Rove's AI concierge enables consumers to discover, get matched with, and book trusted beauty professionals through a simple conversation. Every interaction captures valuable data on preferences, style goals, budgets, booking behavior, and outcomes.

Over time, this creates a proprietary intelligence layer that continuously improves matching quality and personalization, making the network more valuable with every transaction.

+ LAYER 03

The demand network

Rove generates demand directly rather than relying on professionals to bring their own customers. Creators, local communities, referrals, and in-person activations drive consumers into the marketplace, while creators build storefronts featuring professionals they personally trust.

Every successful booking strengthens the network, attracts more professionals, and improves the consumer experience. This demand-first approach creates a compounding flywheel that accelerates liquidity as Rove expands into new markets.