ClinicFrame - Like Granola, but for healthcare. Fully HIPAA-compliant.

Hi Product Hunt 👋 Clemente here, I lead ClinicFrame.

Three years ago we launched CompliantChatGPT, a HIPAA-compliant AI assistant for clinicians. More than 8,000 have used it since: therapists, psychologists, oncologists, nurses running home visits. They weren't shopping for AI. They came because they were already putting patient information into a consumer chatbot, with no BAA, no audit trail, and no answer for the surveyor who asks where that data went.

After three years of listening to them, the pattern was hard to miss. Almost every conversation ended up at the same place: the note. And most clinicians were writing each one twice, first as scribbles during the visit, then properly, hours later. Notes were never the job. So we built the tool that writes them.

🩺 What ClinicFrame Scribe does
It listens to the visit, in person or virtual, and writes the structured clinical note as it happens. Desktop native, so nothing joins your call as a third participant. SOAP by default, your own templates on top. You review it, you sign it, you stay the author, and it lands in your EHR in seconds.

🔒 HIPAA compliance is the floor, not the upsell.
A BAA comes with the account at self-serve price. Documenting a visit safely shouldn't require a procurement cycle and an enterprise contract, which is exactly what the big model providers ask for today.

🧭 Today it's a scribe. That's the starting point, not the plan.
We're building the operating system for a clinical practice: the context of every patient, the record of every visit, and the part nobody volunteers for, dealing with insurers. The note is where that starts, because the note is where the billing code comes from. Revenue is what we build next, with the clinician reviewing every code before anything leaves the building.

Most software in a clinic was built for the billing department and handed to the clinician afterwards. We're building it the other way around.

🧱 Every Ai medical tool on the market started as a scribe. We started three years earlier, on the compliance side, with 8,000 clinicians running real clinical work through a product that had to hold up to a BAA from day one. That's the harder half of the problem, and it's already done.

👥 Who it's for: clinicians who document their own visits. Therapists, private practices, home health agencies, small clinics.

🎁 For the PH community: 50% off for 3 months, on top of the 7-day free trial. No card to start, and onboarding runs a demo visit so you get your first note without waiting for a real patient.

🙏 Our ask: if you document patient visits, what's the one thing you'd never let a tool do with a session? That's the answer I care about most. I'll be in the comments all day.

@chiara_tucci @macarena_balparda @alan_brande @dana_fridman are here with me today, and thanks to @mishaal_rashid and @francesco_domizio for the hunt.

to answer the question you actually asked - pick a billing code on its own. everything else in the note is a record of what happened, but the code is a claim submitted to a payer, and the liability for it sits with the clinician, not the tool. you mention the clinician reviews every code before it leaves the building, which is the right instinct, but I'd push on how that review is presented. if the suggested code is shown as "the note says X, therefore code Y" it's very easy to rubber-stamp under time pressure, same failure mode as any confident-sounding suggestion. does the review step force the clinician to see the specific line in the note the code was derived from, or just approve the code itself

So excited to finally see ClinicFrame out in the world!

We’ve spent a lot of time listening to clinicians and understanding the reality of documentation, and it’s been amazing to see that work turn into a product that can genuinely make their day a little easier.

If you work in healthcare and have tried ClinicFrame, we’d love to hear what you think. And if you haven’t yet, give it a try and let us know where we can improve. We’re here and listening!

Congrats on the launch, Clemente! The framing here is what makes it click for me — starting on the compliance side three years ago and arriving at the scribe from the clinician's side rather than the billing department's. That's the opposite of how most of these tools are built, and it shows.

To your question — the one thing I'd never let a tool do unsupervised: close the loop between the note and the claim without the clinician seeing exactly which line justified the code. Gal's point above is the whole game. A scribe that writes a beautiful note is table stakes; the trust breaks the moment a suggested billing code gets rubber-stamped under time pressure. If ClinicFrame makes the clinician confront the specific sentence the code came from — not just "approve Y" — you're building something structurally safer than anything that treats the code as an afterthought.

Rooting for you. The "compliance is the floor, not the upsell" line should be on a billboard.

Great product! Good luck 🤞🏽

@Granola is known for being sneaky since it doesn't inform participants on the call that it's recording. Does ClinicFrame alert the patients before they are recorded?

There are plenty of AI scribes out there. We know that! But after talking to hundreds of clinicians, we realized the real challenge isn't just generating notes. It's building something they can actually rely on every single day.

We focused on what matters most: reliability, responsive support, and compliance. No dropped sessions. No unexpected downtime. Just a product that works when clinicians need it most.

We listened closely to our users and built the product they kept asking for.

This launch is much more than an AI scribe for us, it's the first step toward a broader vision of medical intelligence that helps clinicians before, during, and after every patient encounter.

Excited to finally share the work of so many months with the world. Thanks everyone for the incredible support here on Product Hunt. We can't wait to keep building with your feedback!

Innovative angle on the medical notetaking!

I spend a lot of time looking at AI applications in regulated industries, and most of them die in the gap between the demo and the compliance review. Starting from compliance and working toward the delight is the harder order to do it in, and the one that survives.

Congrats to the team. Rooting for this one.

I'm not in healthcare, but the idea really got me. Really, congrats on the execution. The line about clinicians writing every note twice gets to the real problem. The transcription is useful, but cutting out that second round of admin is where the value is. I’d be interested in how ClinicFrame handles situations where the conversation is incomplete, contradictory, or clinically sensitive. Does it clearly flag uncertainty and missing details, or can a polished note make the output look more certain than the visit actually was? Keeping the clinician as the author is the right approach. The review step needs to be genuinely quick without encouraging people to skim.