Denta
Your practice on autopilot
About
the loom cold open with the empty reception desk was actually cinema. whoever cut that video understood assignment, though the mid-section drags after the second dashboard shot.
the pacing on the demo video is genuinely good but the voiceover keeps saying 'imagine if' and I already imagined it three times, just show me the product.
hot take: every dentist I know still runs on a fax machine from 2004, so 'autopilot' is doing some heavy lifting here. curious how you're handling the front desk lady who refuses to stop using her paper calendar.
tried the demo booking flow on mobile and it asked me for my practice size before telling me what the product does. flip that order and conversion goes up.
genuine question from someone who hasn't touched a new SaaS since 2019: is this basically just a fancier version of Dentrix with a chatbot bolted on?
no mention of an API on the site. do practice management integrations happen via webhooks or are we screen-scraping Open Dental like the rest of the industry.
the tweet copy is four words and a YC tag. bold move launching with that little context, respect.
this is the last dental workflow product that will ever be built without a full agent stack. mark it.
one thing for the roadmap: insurance verification before the patient walks in. every dentist I've shadowed loses two hours a day to Aetna hold music.
HIPAA covered entity or business associate? and where's the PHI actually sitting. these are the first three questions any dental group counsel is going to ask before signing.
ok wait, the real moat here isn't the AI, it's whoever can convince a 62-year-old orthodontist to swap software. distribution is the whole game.
the smaller shops don't have IT to run a migration, they have Debbie. Debbie decides if you live or die.
before we roll this out across 40 locations I need SSO, SOC2 Type II, and a BAA. does any of that exist yet or is it on the 'soon' page.
dental TAM is smaller than everyone pretends. consolidation from DSOs eats the mid-market SaaS layer within a few years, not sure this window stays open.
intern question probably, but how does the AI know which patient is a no-show risk without pulling from the practice's historical data? does onboarding include a big data migration step?