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NexHealth’s infrastructure now serves 89 million patients and, per Al from…

2026-08-05 · 20:51 UTC ·@ThePeelPod ·2 min read

Brief

NexHealth (Al) argues that companies founded before 2022 have a strategic edge because they built painful data integrations since 2017; today NexHealth serves 89 million patients and claims 81% of new AI healthcare startups use its stack. The episode recounts on-prem dental IT (75% still local), a near-bankruptcy ($4k + maxed Amex, saved by a $36k pre-pay), early $391k fundraising, later large raises, and the view that AI value will land on chips, models, and the action layer.

Why it matters

NexHealth’s infrastructure now serves 89 million patients and, per Al from NexHealth, 81% of new AI healthcare startups / AI products are built on its platform.

Key details

  • NexHealth nearly failed early: the company had $4,000 in the bank and a maxed-out Amex before a $36,000 pre-pay kept it alive; they raised $391,000 from professors/customers early, later raised $176M they say they didn’t need and spent half their Series A on an acquisition.
  • Healthcare remains fragmented and legacy-heavy—75% of dentists still run on-prem servers—so NexHealth’s painful data integrations since 2017 give pre-2022 companies a strategic advantage; Al says future AI value will accrue to chips, models, and the action layer.
Source evidence

Are tech companies founded before 2022 cooked due to AI?

@alfromnexhealth thinks the opposite:

"You can't really use AI if you don't have access to the data. We've been building these painful data integrations since 2017. It's actually a huge strategic advantage."

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