Tepali Joins Y Combinator With Fresh Funding to Build AI-Native Operating System for Medical Spas
Tepali, a startup developing an AI-native operating system for medical spas, has secured early-stage funding through its participation in the Winter 2026 batch of Y Combinator, as the company seeks to modernize software infrastructure for one of the fastest-growing segments of the healthcare and wellness industry.
According to publicly available funding data, Tepali received Y Combinator’s standard investment as part of the accelerator program, marking the startup’s first disclosed funding event. The company is focused on building an all-in-one software platform designed specifically for medical spas, an industry that has experienced rapid growth across the United States but continues to rely heavily on fragmented and outdated software systems.
Founded in 2026 by Chrisvin Jabamani and Vishnu Pathmanaban, Tepali aims to consolidate multiple operational functions into a single AI-powered platform. The company describes its product as an operating system for medspas that integrates customer relationship management, scheduling, electronic medical records, point-of-sale functions, inventory management, marketing intelligence, and patient documentation.
The startup believes the medspa sector faces a unique challenge because operators often depend on multiple disconnected software tools to manage daily operations. These businesses typically sit at the intersection of healthcare and consumer wellness, offering services such as cosmetic injectables, laser treatments, and other aesthetic procedures. Existing software platforms frequently require manual processes and extensive administrative work, creating inefficiencies that can affect revenue growth and patient experience.
Tepali’s solution centers on the use of artificial intelligence agents designed to automate core business functions. The company says its platform includes a Receptionist Agent capable of answering calls, responding to patient inquiries, and scheduling appointments around the clock. A Clinical Agent is designed to generate treatment documentation and patient charts automatically, while a Growth Agent focuses on lead nurturing, personalized follow-ups, and patient retention. By embedding AI directly into operational workflows, the company hopes to reduce administrative burdens while helping clinics improve efficiency and revenue generation.
The founders bring experience from both technology and business operations. Pathmanaban previously led engineering initiatives at MealPal and helped build the all-in-one point-of-sale platform at Dripos, a Y Combinator-backed company serving coffee shops and hospitality businesses. Jabamani previously worked at investment banking firm PJT Partners, where he participated in mergers, acquisitions, and restructuring transactions, before joining AI sales technology company Rilla in an operations role.
Participation in Y Combinator provides Tepali with capital, mentorship, and access to the accelerator’s extensive network of founders and investors. For many startups, acceptance into the Silicon Valley accelerator serves as an important validation milestone, often helping companies attract customers, recruit talent, and secure follow-on financing. Publicly available records indicate that Y Combinator is currently Tepali’s only disclosed investor.
Beyond workflow automation, Tepali is positioning itself as a comprehensive data platform for medspa operators. The company says its software can connect advertising spend to customer lifetime value, track patient journeys from initial marketing engagement through treatment history, automate inventory management, and generate business insights using AI. The platform is also designed to maintain HIPAA-compliant patient records, an important requirement for businesses operating in healthcare-adjacent environments.
The company enters a competitive market that includes established wellness and practice-management software providers. However, Tepali is betting that an AI-first architecture and deep specialization in the medspa segment will differentiate its offering from broader healthcare and salon-management platforms. The startup argues that many existing solutions were developed before the emergence of generative AI and therefore focus on digitizing manual processes rather than automating them.
With fresh backing from Y Combinator and a product designed around AI-driven automation, Tepali is now focused on expanding adoption among medical spas while continuing to develop the technology platform that it believes can become the operating system for the aesthetics and wellness industry.
