Tepali Wants to Be the Only Software Your Medspa Needs

The Macro: Medspas Are a $20 Billion Mess of Disconnected Software

The medspa industry is booming. Something like 8,000 medspas operate in the US, and the number keeps climbing. Botox, fillers, laser treatments, body contouring. People spend serious money on these services. But the software powering these businesses looks like it was built by committee in 2011.

A typical medspa runs scheduling on one platform, payments on another, patient records on a third, marketing analytics somewhere else, and inventory tracking in a spreadsheet that someone named “FINAL_v3_USE_THIS.xlsx.” I am not exaggerating. I have talked to medspa owners who described exactly this setup. The average medspa reportedly loses over $300K a year to operational inefficiencies, and most of that comes from the cracks between systems that were never designed to work together.

The existing options are not great. You can cobble together Mindbody for scheduling, Square for payments, and some EMR system for patient records. Or you can use something like AestheticsPro, which tries to be all-in-one but feels dated and clunky. Zenoti targets the space too, but it is built for larger chains and priced accordingly. None of these were built with AI at the core. They are traditional SaaS products with maybe a chatbot tacked on.

The question is whether someone can build a genuinely unified system that replaces the whole stack. That is what Tepali is attempting.

The Micro: Two Founders Who Know Vertical SaaS

Tepali is building what they call the “agentic OS for medspas.” One system that handles point of sale, CRM and EMR, marketing attribution, scheduling, inventory, and payroll. But the real pitch is not the unification. It is the AI agents layered on top.

Three agents stand out. The Front Desk Agent answers phones 24/7 and books appointments without a human. The Scribe Agent writes SOAP notes and treatment documentation automatically. The Marketing Agent handles lead nurturing and conversion tracking across Meta and paid search channels.

I like the specificity here. This is not “AI for healthcare” in some vague hand-wavy way. This is “AI that picks up the phone at your Botox clinic at 9pm on a Tuesday when a potential client calls about lip filler pricing.” That level of vertical focus is where AI products actually work well, because the domain is narrow enough that the AI can be genuinely useful instead of generically mediocre.

Chrisvin Jabamani runs the company as CEO. He scaled operations at Rilla, which hit unicorn status in the vertical AI space. His cofounder Vishnu Pathmanaban is CTO and previously built the all-in-one POS at Dripos, a YC W20 company. They are a two-person team out of the Winter 2026 batch. The background is strong for this kind of product. Both have built integrated software systems before, and both understand what it takes to sell into small business owners who do not want to learn five different tools.

The product is live and in early access. They are booking demos through Calendly. No pricing is public yet, which is normal for this stage.

The Verdict

Tepali is making the right bet. Vertical SaaS that replaces a fragmented stack works when the vertical is big enough and the existing tools are bad enough. Medspas check both boxes. The industry is growing fast, the current software is terrible, and the operators are not technical enough to stitch together their own solutions.

The risk is execution speed. Zenoti and Mindbody have massive distribution advantages. AestheticsPro has brand recognition in the space. Building a genuinely unified system is hard, and the AI agents need to be reliably good or medspa owners will stick with the messy-but-familiar status quo.

What I want to see in 30 days is at least 10 paying medspas actively using the platform. Not demo accounts. Not pilots. Real businesses running their operations on Tepali. In 60 days, I want to hear about the Front Desk Agent actually converting leads that would have gone to voicemail. In 90 days, the question is whether the AI documentation is good enough that providers trust it. If the SOAP notes need heavy editing, the value proposition falls apart. If they are 90% accurate out of the box, Tepali has something very real.