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NexHealth’s infrastructure currently serves 89 million patients and, per Al, 81%…

Brief

Turner Novak’s interview with Al (NexHealth) traces NexHealth’s rise—its platform now serves 89 million patients and underpins 81% of new AI healthcare startups—after surviving a cash crisis ($4k in the bank, maxed AmEx) rescued by a $36k pre‑pay and $391k in early funding. The episode highlights entrenched legacy tech (75% of dentists on‑prem, manual payment matching), interoperability limits, and NexHealth’s developer‑platform and scheduling strategy that converted a 72% sales win rate.

Why it matters

NexHealth’s infrastructure currently serves 89 million patients and, per Al, 81% of new AI healthcare startups are built on it.

Key details

  • NexHealth narrowly avoided collapse—at one point it had $4,000 in the bank and a maxed‑out AmEx; the team funded the company via side hustles for two years, raised $391,000 from professors and customers, and a $36,000 customer pre‑pay ultimately saved the company.
  • Healthcare remains highly legacy: 75% of dentists still run on‑prem servers, many offices manually match PoS payments to appointments (staff often guess who paid), and NexHealth built a developer platform and scheduling 'wedge' that achieved a 72% sales win rate to overcome interoperability and incumbent barriers.
Source evidence

"The state of payment collection in healthcare is insane today.

Your doctor usually doesn't actually know who paid their bill.

At most offices, employees are manually matching up payments in the PoS terminal to appointments in the system to guess who paid which amount."

Video

Turner Novak 🍌🧢 (@TurnerNovak)

New @ThePeelPod with @alfromnexhealth

Today @nexhealthHQ infrastructure serves 89 million patients and 81% of new AI healthcare startups are built on it.

But at one point, the company had $4k in the bank, a maxed-out Amex card, and was on the brink of running out of cash.

I sat down with Al to talk about why 75% of dentists still run a server in their closet, the reason innovation is so hard in healthcare, and why AI value will accrue to chips, models, and the action layer.

Full episode here + links below.

Timestamps:
0:00 Healthcare skipped 3 platform shifts and went straight to AI
4:10 75% of dentists still have on-prem servers
10:05 How data interoperability holds back healthcare innovation
16:02 Why everyone blames Epic
20:15 Building the developer platform for healthcare
24:36 Why everyone fails to fix the problem
29:11 Fragmented markets enabled developer platforms
32:32 Working as a receptionist at a doctor’s office
36:13 Building a prototype on Twilio
39:15 How incumbents went from blocking to partnering
46:05 Canvassing Soho dentists door-to-door
53:47 Reverse-engineering 40-year old databases
56:21 Funding NexHealth with side hustles for two years
57:30 The scheduling wedge no one could match
1:02:20 Raising $391k from professors and customers
1:03:46 Running out of cash, why customers kept churning
1:07:45 $4,000 in the bank and a maxed-out Amex
1:11:12 The $36k pre-pay that saved the company
1:13:24 NexHealth’s three businesses today
1:20:18 Payments and the “admin-day” problem
1:26:15 72% sales win rate
1:28:27 The term sheet signed the week before COVID
1:30:26 Spending half the Series A on an acquisition
1:33:47 Raising $176M they didn't need
1:37:28 Why starting before 2022 is an advantage
1:42:22 Where AI value accrues: chips, models, the action layer
1:44:55 81% of AI products are built on NexHealth
1:48:24 Staying patient for three years after ChatGPT
1:51:25 Competitors building on their API
1:54:02 “We’re a tech company, not healthcare company”
1:56:09 Hiring from outside healthcare
1:58:34 Shoes, email over Slack
2:01:21 What AI changed inside the company
2:04:16 Inspiration from Microsoft in 1977 - 1990

Video

— https://nitter.net/TurnerNovak/status/2082854053516615920#m