Doctronic raises $40M Series B for AI-native care platform connecting patients to doctors in all 50 states for $39

scalable. And let me also tell you about Figma. No matter where your idea starts, Figma make claude codecs or a sketch. The Figma canvas is where ideas take shape and products connect. Build in the right direction with Figma. Without further ado, we have Doctrronic.

How are you doing?

Dr. Doctron.

Hey guys, how are you?

We're doing great. Please uh introduce yourself and the company a bit for us.

Yeah. So, Adam, uh I am one of the co-founders of Doctronic.

Uh doctrronic is an AI doctor. Uh we call it that because it's easy for people to understand.

Yeah.

Um we have an AI native care platform. You can come to it, chat with it 247. It's always free.

Yeah.

And then when you're ready, you can press a button and the AI conversation, the summary, and a doctor's note is sent off to one of our doctors and you can get care.

Okay.

Care, primary care, anything you need.

So yeah, I mean WebMDs existed for a long time. Chat GBT has a health functionality, but the the the key insight here is that you're actually linking to a network of licensed doctors throughout America. Are there particular states that you're starting with? How does it actually work to onboard these doctors?

Yeah. So, we're actually live in all 50 states, uh 50 plus one. Um and we have a network of 50 doctors that are employed by Doctronic. Uh, and that includes both primary care, urgent care, women's health, uh, mental health.

Uh, what does it look like if somebody already has their own doctor and they want to bring them to the platform? I imagine that the same way someone might show like, oh, here's my eight sleep data doctor. What do you think this says about the other symptom I'm having? Uh, somebody might share, hey, I had this conversation with Chad GPT. Uh, can we use this as a jumping off point? What does it look like to bring your own doctor to the platform?

Yeah. So, our our AI system is always free and at the end of it, you get a doctor's note that you can take to your own doctor.

Okay. Cool. That's

There are some people that do that. Yeah.

Yeah. Yeah. Yeah. That's amazing. Uh and then in terms of the uh the actual business model, who's paying? How would how do you see that evolving? Where do you think that goes?

Right. So, um right now we make money by providing care. And so when you see one of our doctors, you can either pay out of out of pocket. It's $39. Um or you can use your insurance.

Okay.

Uh and we take almost every insurance out there, including Medicare.

Yeah.

Um in addition, we're in the process of building out a number of different um partnerships with other businesses that will both license our technology and uh use our physicians as well.

Yeah. How do you think about the opportunity for prescription management? It feels like there's been a boom in teleaalth. A lot of work has been done, some controversial, but some very by the book where they're partnered with a with a pharmaceutical company and there's licensed doctors in all 50 states that can prescribe. Is that in the path or is that uh tangential to your work?

Uh directly in the path. So we launched a program in Utah, first of its kind, where we actually are able to renew prescriptions without a doctor. Our AI makes a clinical decision.

That's great.

Uh that was launched eight weeks ago. I think was a big first step. Uh and we're hoping to build upon that.

That's awesome. Jordy,

uh what is Yeah. So, so I'm trying to understand like are you guys kind of limited from a growth standpoint due to like like how how do you scale basically you have these 50 doctors that are employed by doctrronic? Do you need to scale that or is the idea you can make them you know 100 times more? You know, how are you? Our physicians are I would say in order of magnitude more efficient than a traditional tele health practice. Um and so instead of a doctor being able to see four patients in an hour, they can all of a sudden see uh 15 or more. Uh and that allows us to scale much faster than a traditional telealth platform.

And then you you uh you mentioned partnerships uh with other companies. Would that be with like major LLM providers? Is is that is that where this is going or

our partnerships come in three different flavors. The first one would be with payers, TPAs or large employers that want to utilize our services because we're going to be cheaper than most other telealth practices. Uh there are large health systems that we're in discussions with that want to utilize our technology because we can make their doctors more efficient. And then there's a whole slew of digital health companies, hardware companies out there that are also interested in leveraging our technology to extend what they can do uh on uh their service potentially providing care. I was listening to uh Terrence Ta the mathematician on Doresh Patel and uh Doresh was asking him about the impact of AI on his job which is mathematical research and was trying to say like how much more efficient are you and and uh and Terrence Tao was saying well I use AI a lot but I don't it's not like it's helping me with the core work it's more like in a paper I would like to put a chart. Normally that chart would take me 10 hours or five hours to put together. So, normally I just wouldn't put it in. Now I can just put it in. And so he was like it I'm doing five times the work but it's not replacing work that I was doing before. And it was this very like Jebans paradox type of answer and I'm wondering about the amount of medical advice that's being dispelled. How much of it is displacing conversations with existing doctors versus just purely additive conversations where someone would have said, you know what, I do have that, you know, I do have some symptom, but I'm just going to go to work today and I'm not going to go take the time to schedule an appointment, meet with a doctor. How much of of what you're doing is is seen as additive versus replacing labor?

I think it's almost all additive to be quite honest. And when you think about medicine, it's always had this fundamental supply demand mismatch. Yeah. Think about how many times you've wanted to go see a doctor and you just didn't do it because it was too hard, right? I think there's probably 10 100 times more care that could occur if there's zero friction in the system. And a lot of what we're seeing today is it's just so easy to utilize our system that you're going to come in and ask questions that you would never ask a doctor. We have people who use our system 10 times a day. They'll come in and say, "Hey, I have high cholesterol. What should I eat for breakfast?" You would never ask that of a doctor. Um, but when there's no when there's no friction in the system, you can do that.

Okay, we got to we got to fire up Doctrronic and ask whether or not we should take BPC 157 because it's been hotly debated on this show today and I want I want a real doctor or an AI doctor to get to the bottom of it. I think that they would probably

refer that to our system. I actually don't know what that is. So,

it's a very controversial peptide that some people claim works very well. Other people's claim it's a placebo effect. Uh but hopefully people are uh referring to real medical advice for this particular question. Uh but you raised some money. Tell us how much did you raise. I want to hit the gong for you.

We have we raised 40 million for our series B.

Congratulations.

Thank you so much for taking

to come give us the update and have a hope I hope you have a fantastic rest of your day.

Yeah, great to meet you guys as well.

We'll talk to you soon. Goodbye. Let me tell you about Finn.ai, the number one AI agent for customer service. If you want AI to handle your customer sport, go to finn.ai. And we are in the Lambda Lightning round. This concludes our