Problem

Medspas lose substantial revenue because their operations are split across disconnected software and manual workflows. Tepali’s launch materials claim that the average U.S. medspa loses more than $300,000 annually through missed calls, manual charting, and slow lead follow-up. The clearest “killer” use case is preventing missed bookings: unanswered phone calls and delayed responses cause high-value treatment leads to disappear, while providers also lose productive capacity to documentation work.

Product / Service

Tepali is an AI-native vertical operating system for medspas, combining the practice’s POS, EMR, CRM, scheduling, inventory, payments, and marketing into one system of record. It is delivered as an integrated software platform with AI agents operating across the front desk, clinical documentation, and growth workflows.

Its Receptionist Agent answers calls, handles patient questions, and books appointments around the clock. The Clinical Agent listens during treatments and creates clinical notes and charts automatically, reducing roughly 15 minutes of manual charting to seconds. The Growth Agent follows up with leads, sends personalized offers, and re-engages patients, while the broader platform supports provider-aware scheduling, patient records, inventory, memberships, payments, and marketing analytics.

Market

Tepali competes in vertical SaaS and practice-management software for medical spas and aesthetic and wellness practices. The U.S. medspa industry is described by one market assessment as a roughly $20 billion-plus, rapidly growing market, but software adoption remains fragmented. Established competitors include Zenoti, Mindbody, Boulevard, Jane App, and Meevo. Tepali’s differentiation is its medspa-specific, AI-first approach and the attempt to unify operational software with autonomous agents, although those incumbents have larger installed bases and are adding AI capabilities themselves.

As of August 1, 2026, Tepali appears to be at an early commercial stage: it is a Winter 2026 Y Combinator company with a two-person team, and its public site emphasizes early access and demo requests. Public materials reviewed do not disclose named customers, revenue, or user metrics, so Tepali has no publicly demonstrated traction and cannot be confirmed as definitively pre-revenue; the evidence supports describing it as pre-public-traction or early launch-stage.