French Insider Podcast Ep. 44, Pt. 2
From Leveraged Finance to Founder: Creating an AI-Native Health Tech Company with Nicolas Nemeth
Thank you for downloading this transcript.
Listen to the podcast released July 27, 2026, here: https://www.sheppard.com/insights/podcasts/french-insider-episode-44-pt-2-from-leveraged-finance-to-founder-creating-an-ai-native-health-tech-company-with-nicolas-nemeth
In the second of this two-part episode of French Insider, host Karl Buhler continues his conversation with Nicolas Nemeth, founder and CEO of Bonne et Filou, the French-inspired luxury “lifestyle” brand for dogs, and co-founder of Dumbo Health, a health tech startup focused on sleep apnea diagnosis and treatment. They discuss the mission behind Dumbo Health, the outdated state of sleep apnea diagnosis and treatment in the U.S., how the company is using AI to optimize a process that traditionally takes months into a matter of minutes, and what it means to build an “AI-native” company today.
About Nicolas Nemeth
Nicolas Nemeth is the co-founder of Dumbo Health, a digital sleep clinic that allows patients to skip the sleep lab and bring the entire obstructive sleep apnea journey home, and the Founder & CEO of Bonne et Filou, the first French-inspired luxury “lifestyle” brand for pets in the United States focused on delivering high-quality, luxury and innovative products in the pet industry.
Nico began his career as an investment banker in LBO and M&A with 7 years of previous experience in New York City. He closed dozens of transactions worth a total of $5.0+ billion in secured financing, with a focus on Healthcare and Consumer deals. He is fluent in English and French with international experience gained in NYC, Boston, Paris and Melbourne. He has been living in New York City since 2011.
About Karl Buhler
As an associate with the Corporate and Securities Practice Group and French Desk in Sheppard Mullin’s New York Office, Karl Buhler focuses on domestic and cross-border transactions, including mergers, acquisitions, joint ventures and complex commercial agreements in industries such as technology, communications, life sciences, energy, defense and aerospace. In particular, he advises foreign companies with the installation and development of their operations in the United States.
Transcript
Speaker 1:
Welcome et bienvenue à French Insider, the Sheppard French desk monthly podcast dedicated to French investors and companies investing and doing business in the United States. Each episode features conversations with thought leaders and experts in various industries on the business environment and challenges in investing and successfully growing in the U.S. And now, for the inside look.
Karl Buhler:
This is the second of our two-part episode with Nicolas Nemeth. In this episode, we will discuss Nico’s experience as co-founder of Dumbo Health, a health tech startup focused on sleep apnea diagnosis and treatment, and the hard-won lessons of building a business in an increasingly AI-driven world.
So now let’s talk a bit about this new adventure of yours, Dumbo Health. So can you tell us a bit more about what is Dumbo Health, your mission, the project, and who is part of your team?
Nicolas Nemeth:
Yeah, of course. So as you probably know, sleep is more important than what your grandparents were telling you 10 years ago or 20. And so to my surprise as well, sleep apnea is one of the most common sleep disorders in the world. It impacts a billion people in the world, including 80 million Americans. And a lot of people associate sleep apnea with, “Oh yeah, my grandfather has that,” or, “I know that guy, he’s obese and he has sleep apnea.” And so all those new trackers like the Oura Ring, Apple Watch, WHOOP, that basically track your sleep, they’re able to tell you that you don’t sleep well, but they’re not able to diagnose you or prescribe the medical equipment to fix an issue. So all those wearables are basically increasing the awareness around sleep in general.
And so most likely if you wake up multiple times during the night, if you stop breathing, if you snore, if you go to the bathroom more than once a night, all of those can be signs of sleep apnea. And at the time, nobody would really prescribe anything or make you do a diagnostic test because it was not something that was large scale enough to be detected or that was interesting enough to people to do so.
And so in the last 20 years, the patient journey hasn’t really changed. It’s very fragmented. It’s very complicated. You see people struggling through the whole patient journey, and you need probably six to 12 months to be diagnosed with sleep apnea and get into a CPAP machine. So our goal at Dumbo Health is to basically take that patient journey and digitize it. And so we’re digitizing the whole patient journey from A to Z into one software that is very easy to use where we do everything for you.
I can maybe describe the pain points of the patient journey today. So, let’s say your wife tells you you snore, and then you would be like, “I don’t snore. Okay, maybe I snore.” Maybe the first step would be to go see your primary care doctor that you have a hard time sleeping.
And so the primary care doctors have on average two hours of training during medical school on sleep in general, so they’re not trained for that. So they don’t really know who to refer to. So the right person to refer to is a sleep doctor. There’s only 7,000 sleep doctors in the U.S. So it’s one sleep doctor for 52,000 patients. So you have wait times of six to 12 months to just see or be referred by a sleep doctor.
Historically, when you get to a sleep doctor, they send you to a sleep clinic, which is a clinic where you undergo a full polysomnography. For those that know, they’ll probably laugh because they remember that time where you literally have sensors all over your face and you have to stay two nights at the sleep clinic and they tell you that you have to go to work wearing this on your face and you literally look like you’re sick. And it’s very uncomfortable and people feel stigmatized by it, and so they just don’t want to do it.
And so once you have sleep apnea or once you’re diagnosed with sleep apnea, your doctor most of the time pushes you to a CPAP machine. There is a company called the DME Company, which is, in French, it’s SAD, it’s “Services d’Aide à Domicile,” so they’re all the companies that basically come to your home, install the medical equipment, and they’re supposed to help you navigate that new treatment with a medical device.
Those companies, most of the time, they’re being paid by insurance to sell you a CPAP machine, but they don’t have a clinical team integrated at the company. So every time you have an issue with your machine, you have to go back to your doctor. And so for that reason, for the lack of care, there is an issue with the mask too, because a CPAP machine is basically sending air into your airway for your airway to stay open.
I haven’t even explained what sleep apnea is yet. I assume everybody knows, but sleep apnea is basically when your airway gets stuck and it closes itself, and when basically there is no more air getting in. It’s basically if I put your head underwater and you’re trying to hold your breath and then at some point you’re suffocating and trying to gasp for air. That’s exactly what happens during the night, except that since you’re technically sleeping, you don’t realize it. So you wake up, gasp for air, and fall back asleep. But you have some people that do that 100 times per hour. So a few times a minute they will stop breathing. Unfortunately, those people basically never get into deep sleep or REM sleep, and so it leads to a lot of long-term issues. It could be a bunch of strokes, could be diabetes, could be a lot of things.
On average, it removes five to 10 years of life expectancy, and some people actually die from it. We call it the silent killer in healthcare, which is something that has been killing Americans for a long time and has never really been diagnosed. Now with all those new wearables, they’re not diagnosing you with it, but they are screening you for it. So they’re capable of telling you to go see your doctor.
Everything I just described in the patient journey, that’s everything we fix with Dumbo Health. We are fully digital. You can stay on your sofa. We’ll connect you to a sleep doctor directly on telehealth. We’ll directly send you a diagnostic kit that you can do in your bed. And if you unfortunately have sleep apnea, we can treat you with the treatment that is the most adequate for you, whether it’s a CPAP machine or a mouth guard or an oral appliance that basically moves your jaw a little bit and aerates your airway, and we’ll send that directly to your home.
What we built behind that is AI software that is able to get the data from the machine, because those machines are full of data, but nobody uses that data today because nobody’s incentivized to do so. Basically, we’re taking that data and proactively coaching you on how to use your machine. Because people think a machine is just that, but it’s like a printer. If you have a printer and you don’t have ink, you can’t print. So if you have a machine and you don’t have the accessories and you don’t refill your accessories, then your treatment is not going to work.
With our software, we can proactively tell the patient, “Hey, here is an issue. You had a leak in your mask. You didn’t sleep well last night. The machine didn’t work because there is a pressure issue,” and we’re able to basically coach those people. At any moment they can come to us and we’ll send them a doctor, they can connect with a doctor, they can coach themselves with the AI that we have in the software. So that’s basically what we offer. It was a pretty long explanation.
Karl Buhler:
No, that’s very interesting. And one thing that I discussed a bit earlier with you is the AI environment in your business. So this is the thing that we see everywhere now, AI. And we’d like to know a bit more. How does it impact your business? How did you integrate AI and the changes that this revolution has made to your business and what you’re seeing in the future?
Nicolas Nemeth:
I mean, it’s an amazing topic because we created the company just at the moment where everything changed with AI. I think still a year ago AI was more seen by a lot of people as a smart chatbot as something that has an answer to everything and you just come and ask your questions. And now AI is really part of every single one of your workflows, where the companies that will survive tomorrow will be the ones that know how to use AI and their jobs will not be replaced by AI.
That’s when we raised capital last year to go from a vision on a PowerPoint to an actual company. We launched in January of this year (2026), so we’re very new. So when we started building the whole software, we built very old school, a designer to design the prototype of the software. Then we had a front end, a backend, and QA—the Figma way, where you build your whole tech stack. We spent a fortune on it to start building fast. We went up to 12 tech people to build all of this. We were literally at the moment where Anthropic really was one of those B2B tools where you could start coding with AI.
And so there was a moment where, as entrepreneurs, you need to always be on top of your game because you can get disrupted very quickly. We were lucky enough to be a very new company where we didn’t build that much. I mean we did, but so let me give you an example.
If you want to build with AI, you can integrate AI with your workflow. But if you want to be AI-native, you cannot add floors in a building, floors that are made of steel on a foundation of dying wood. At some point your building is going to collapse. And so if AI is basically those steel floors, then your foundations need to be in steel. So you have to take a new land or destroy everything you’ve done in wood and have the foundations in AI.
So what we see today is that most of those companies that started years ago, they don’t have those foundations. Today they have a very hard time moving into being AI-native, and they will never be AI-native. All those companies are now being threatened, and we’ve seen what happen with all the SaaS companies, with all the tech, the valuations in the stock markets and people freaking out. It’s like you have all those new companies that are coming to basically disrupt those old school businesses purely with AI.
We are lucky when we decided to shift, and we basically destroyed everything we’ve done. The whole work around the backend, the integration of the data, the HIPAA compliance to be sure that we’re highly regulated for medical information, all of this stuck because it has to exist.
But anything that is front end, anything that is really customer-focused on the app was redone with AI. And probably within a few weeks we redid months of work, times 20. We also hired a few AI consultants. They put up all the architecture for us to be able to build with AI. When we say build with AI, a lot of people think, “Oh yeah, they’re using Claude on their computer.” No, it’s like we have 120 agents that build all night, all day. They just never stop. And so there is never, you know, when you’re on Claude or ChatGPT, they ask you a bunch of questions, and sometimes they stop because they have a question or it fails? This doesn’t happen in the corporate world. It’s just constantly building and it’s linked to every single one of your systems.
Now jobs that were purely coding are becoming more like AI jobs, where we replace those roles with people that know how to use AI, that know how to read lines of code and fix issues in the code rather than writing the line of code. I don’t think there is one person at our company that writes a line of code anymore. And if you listen to it, Minsky was saying that by 2028 that code would not even exist anymore, which I think is probably not wrong.
So we made a complete 180, and I think we are seeing it right now in the fundraising as well. We are seeing it in the mindset of investors where your moat becomes your barriers to entry and becomes really your customer base, in a way. All those companies that are 10 years old, they might not have AI, but they have customers. So it’s like, how do you retain those customers? And that’s really the moat because software doesn’t have value anymore because tomorrow I can then probably build in two weeks what you spent five years building. There’s going to be a few mistakes here and there, but in terms of software, if you’re a pure software company, then there might be an issue in the future.
So the priorities for investors and for companies completely change. It’s how you can integrate AI within your workflows, how you can have your employees being the most efficient as possible with AI. And we had to push everybody to use AI. A lot of the software engineers didn’t want to use AI because it’s replacing them, but it’s knowing how to reinvent yourself with AI.
It has been great for us because we had great timing, but there are some limits, of course. Obviously thinking that you just use AI and build a software in two days and it just does it itself, you’ll be very disappointed because it doesn’t work like this. It took us weeks, if not months, and we’re still teaching our AI today how to not make mistakes, and every single update from Anthropic or from OpenAI in one of their models can create issues.
I’ll give you a good story, actually. I woke up one morning and one of my customers received 892 emails from us. I spoke with the tech team like, “What happened?” It was our overnight AI that decided to fix a bunch of issues. In our backend, there was 800 emails that were supposed to be sent. The normal email system tries to resend an email that failed before, and so at some point the issue was fixed manually. So there was 800 issues and then you fixed the issue, but those 800 issues were not cleaned. And the AI decided although the issue was fixed and the last email that was sent was read, it decided to go fix the 800 issues before.
So you end up having little mistakes like this. My software team told me that it could happen with a software engineer too and there could be a manual error. It could have been a manual error or two, which is true. So AI will sometimes give you some nice surprises like this. You wake up in the morning and something happens.
So it’s not that easy. I think people who are not from that world, they don’t really know how it works. And I’m not from that world either, I just try to push my team to basically use it as much as they can and to always stay on top of the game. Anthropic and OpenAI and Gemini, they just innovate so quickly that every week you have a new release, you have something new, so it’s trying to understand how to work with that.
But never forget what keeps the company alive: the customers. You could have an amazing software, you can build fast, but if you don’t have your go-to-market straight, it’s hard at the end of the day.
Karl Buhler:
So about the AI, do you see customers having an issue that AI is involved in their health somehow? Is it something you’ve seen or the contrary, customers, they want to make sure that AI is actually involved because they think it’s more reliable than a human, for example?
Nicolas Nemeth:
It’s a good question. We haven’t had any issues yet, except those AI issues that sent 800 emails to a patient and the patients didn’t know that it’s AI that had a mistake or a bad day. In terms of AI chatbots and all of this, I mean, we are pretty transparent on what is using AI or not. So I would say for us, we are an AI-native company in the way we use it internally. But in terms of patient-centric and what the patient actually use, they have an AI chatbot, they have AI coaching, but at any moment they can reach a physician. As part of their subscription, they have an unlimited amount of time to talk to a doctor, if they need to.
We always want to make sure the human is still involved in it. And when there is an issue that is being escalated by AI or by the patient themselves, they talk to an actual human: customer service or a doctor. So we haven’t fully replaced the human.
A good case study is as a sleep apnea patient, if you go to a sleep clinic, if you go to a doctor, if you go to all those physical places, on average from the beginning to the end of your patient journey to get to a CPAP machine, there will probably be on average five hours of admin work where there is an assistant or a PA or a doctor assistant that will ask you a bunch of questions, do a bunch of tests, fill things in the database and set up the device for you and all of that. We’ve really compressed that, thanks to AI, to almost nothing.
We only have two touchpoints today that are purely clinical. We have a nurse practitioner who basically reviews your file and makes sure legally by the FDA we can send you X, Y, Z test and there are no red flags. After that, we have calls with the doctors where you actually talk to a doctor with your prescription that they explain to you. We do a lot of that training and that explanation in our software because we have a big educational component. But we’ve compressed those four to five hours in literally 20 minutes, which is purely clinical.
And so I think that is more the use of AI for us, which is more backend, which is more process-wise, which is more building, which is more even pitching. It’s like today we go on the B2B side to look for referrals. We go to longevity clinics, we go to primary care doctors, we go to wellness centers, and so we become their go-to on the sleep side. So at that time you used to build a presentation or build something to show them. Today, we have AI to do that. In just a few hours, I can create a dashboard for a doctor that shows exactly how our solution would integrate with their website and systems—something that wasn’t possible before. But I think that’s applicable to everyone.
So I mean, the short answer to your question, we haven’t had any issues with the patient so far because we also have the human being involved anyway, so I don’t think we will have that issue. But it might become an issue in the future. We’ll see, and we’ll adapt to it, of course.
Karl Buhler:
One thing we discussed, you and I, is you’re in the process of raising money. From what I understand, the fact that you are not truly AI-native can be an issue when it comes to raising money in today’s market. Can you tell us a bit more?
Nicolas Nemeth:
Yeah, I think it’s probably a wave, and it’s a trend the same way there was a trend in crypto. The same way there was a trend in SaaS. There is an AI trend where VC and institutional investors, they mainly want to focus only on the AI agentic companies. I’m going to say agentic because the word agentic is important here. The crazy valuations that are going on right now are purely AI agentic where the VCs, they just have FOMO. They don’t want to miss out. And so they just prefer to go on crazy valuations on something that is purely potentially disruptive that has a potential trillion-dollar market cap than going on more traditional businesses.
So it is, for companies like us, we are AI-native, but we are not AI agentic. We are digitizing a patient journey of a healthcare issue that 80 million Americans have. So there is hardware. We are not making the hardware. We’re distributing the hardware.
I was talking to a VC literally yesterday that told us, with my co-founder, “Guys, love what you’re building. If it had been a year ago, I would’ve written a check right away for a million dollars and you would have the money right now. But right now I have to be honest,” and he’s one of the only ones to actually say the truth, and we have a very good relationship with him. But he said, “Right now, I have to be honest. We have to focus on AI because we, I have to say, we are just afraid to be left behind and not be on the deals that are going to sell for billions of dollars or missing the next Anthropic or OpenAI. And so, we don’t really have the capacity to look at anything else that is not purely AI.”
So it’s interesting, as entrepreneurs at the beginning, it’s almost like you want to oversell AI, and you’re like, “Oh yeah, yeah, we’re an AI company.” And you talk to all these people and you waste time because after diligence, they’re going to realize that you’re not AI agentic. And we’re not AI agentic. We’re not setting ourselves like this, but we have AI. We’re building an AI prediction churn tool, which basically, thanks to all the data on the patients we’re getting, we’re able to predict when a patient is probably going to stop treatment and we’re able to focus more accurately and give more love to a patient that potentially will churn more than somebody else that is more successful.
So we definitely have AI, but we are not AI enough for some of those investors. Now, as an entrepreneur, it becomes the new game of trying to understand who you’re going to spend time with and who you should talk to. Most of those investors will admit that it’s a bubble that is going to burst at some point. We don’t know when. It might be six months, maybe two years. I think at some point people will come back to their senses. After every bubble, they go back to normal or there is a new bubble.
But it’s tougher to raise capital right now when you’re not an AI company. I mean, luckily enough, we raised our first round in two months very easily. We have great investors in the cap table, some great entrepreneurs, like the former Minister of Health of France. So we have great people that trusted us. Now it’s more like going on the institutional side. But we still have a lot of interest from investors. We are not seeing zero interest at all, but it’s funny to see how the investment market has been reshaped.
I was talking to my Anthropic relationship manager today that takes care of us on the enterprise level with Claude. We were laughing that every single update they make and every single time they release a new tool, they probably kill between 20 and 50 startups in the environment. I’ve seen decks of startups that raised $25 million on an AI automation product, and then Claude or ChatGPT release the same thing, and boom, that company is completely done. Literally, the $25 million is gone. So that’s exactly what we’re looking at at some point.
And so I think at some point investors will come back to their senses where it’s like, okay, well maybe we’re throwing money by the window. But you just need, for investors, you need that one investment that goes to a unicorn to pay for everything else. So as long as there is that one IPO that would put back the money out there, they will continue to do so. So it’s also our job, as entrepreneurs, to know how to potentially pivot or know how to please them. But at the end of the day, the priority is the patient and providing something that makes sense to the patient. And then when you do that job well, investors should follow.
Karl Buhler:
To wrap up the AI piece, you shared with me one thing I actually didn’t know, and that is people steal tokens.
Nicolas Nemeth:
Yeah. Well, they don’t steal tokens because they can’t. They steal the API keys to spend tokens with your money.
So funny story. We flew the whole team to Miami because we’re all super digital. So our tech team is in Mexico and our operations team is in Barcelona. Once a quarter we fly the whole team to connect, so it was the first time we were not operating as an AI-native company. During that weekend we all met in my garage, literally. That’s where my office is. It’s very Silicon Valley—starting a startup from a garage. We all coded together for the first time and started looking at how to we could rebuild our app with AI. Everything I described earlier really started that weekend.
We still don’t know whose mistake it was, but someone definitely left their API key in the homepage code. An API key essentially connects your Anthropic account to the software you’re using. It’s basically where your credit card is and where you spend the tokens. So if you build with a specific software, you give that software the API key and then Claude is linked directly to that software. If you have no limit, you can spend an unlimited amount of money.
That was probably six months ago. Then recently, like a month or two ago, I was working pretty late, and around 11:00 PM I started seeing a bunch of credit card transactions on Anthropic. We spent a little bit of money on AI, so I was like, okay, well, there is probably an agent running heavily while building software. Then at some point within 30 minutes I saw six charges for a few hundred dollars. Within 40 minutes I was spending 4K on something that I didn’t know. So I was like, okay, well that seems unrealistic that we’re spending 4K in less than an hour. Something was going on.
It was 2:00 AM, and I started going in every single account because we have five or six AI accounts. At some point, I saw one of the API keys spinning on autopilot, so I started investigating. I asked my AI linked to everything, “What is that IP? Who is that account number?” It was nowhere in the company. So I’m like, “What’s going on?” So I turn it off. In the morning, when my team woke up, we started looking into it.
We still don’t know, to this day, who stole it. Basically, you have people out there that have agents that run on every single website, and they look for anything that is hidden in the code that should not be in the code. Somebody left their API key, the full API key, in one of our codes. That was a big mistake. It was probably stolen, sold on the black market, and used by someone we’ll never be able to identify.
Anthropic is looking into it right now to see who’s using it and to refund us. It was one of those situations where if you are not careful, if you’re not coding with specialists, if you’re not adding all those safety and cybersecurity layers, things can go wrong very quickly. I could’ve gone to bed that night at 2:00 AM and woken up at 8:00 AM, and in those few hours it could have been 50-100K. You don’t know. It basically just hits your limit.
Karl Buhler:
All right. Well, let’s conclude on a few thoughts. We walked through three main steps of your career, BNP, Bonne et Filou and Dumbo Health. If you had to take away one lesson from each stage, what would it be?
Nicolas Nemeth:
Ha, from each stage? Well, starting on the banking side, I think anyone that wants to become an entrepreneur and is in their comfort zone, you have to take a leap of faith. It’s like most of the people, they live in their comfort zone and they are just too scared to go further. I mean, if you don’t want to become an entrepreneur, if you don’t want to create, that’s totally fine. We need people to have a stable job too, so those people will never want to.
If you’re young, if you’re hungry, if you want to do that, I would say just take that leap of faith and go ahead. Go in that risky mode. Worst-case scenario, it doesn’t work. And you know what? You’re in the U.S., and having something that doesn’t work, it’s actually learning. It’s not failure. Failure doesn’t exist in the U.S. Failure is a word that exists only in France that people judge you for. In the U.S., failure is experience where you can use that experience to leverage it better in the future. So honestly, go ahead and do it. Don’t think twice.
And then on Bonne et Filou, I would say cash is oxygen and focus is scarcer than capital. Meaning if you go too many places at the same time, you are going to get lost at some point. Really focusing on the thing that works is way more valuable than capital and cash. You just need to make sure you focus on one thing, test it until the end, and then move to the next thing if it doesn’t work.
In general, it was harder to pull the plug for me. But I pulled the plug because Bonne et Filou still exists and it still runs itself, but it’s not as big as what I wanted. But at some point, it’s like your opportunity costs. As an entrepreneur, it’s knowing exactly when you’ve tried everything and it’s not going to work. When do you go to the next phase? And so maybe I could have done that faster, but at the same time, every single step I’ve taken has made me who I am today.
Regarding Dumbo Health, everything is being built right now. So it’s going to be a question of go-to-market, of investors trusting us, and building this to make sure we get better care for people that have sleep apnea in the U.S. and hopefully saving lives. So I’m very, very excited about all of this.
I’m very excited about the AI side as well. I think the winners tomorrow will be people who know how to use AI. I don’t necessarily think it’s going to kill a lot of jobs, but I think every single wave that we’ve seen with digital, e-commerce and many other things, the jobs are going to change and they’re going to shift, so people reinvent themselves constantly. I mean, look at taxi drivers. When taxis were killed, they became Uber drivers. So it’s going to be the same with AI. I think understanding how to use AI today is really key at any job, and people who are going to know how to navigate AI are going to be the winners of tomorrow.
Karl Buhler:
All right. Thank you very much, Nicolas. That was excellent, and thank you for sharing your experience with us. For those who don’t know Bonne et Filou, where can we find those beautiful macarons?
Nicolas Nemeth:
On our site, bonneetfilou.com, on Amazon, on Chewy. We have a bunch of places. You can just Google it and you’ll find it. And for Dumbo Health, it’s Dumbo.Health, exactly like it sounds, and you can find everything on our platform. For now, we’re only in Texas and Florida. We’re launching in Maryland and Virginia next week, and the goal is to launch in all 50 states by the end of the year, but that will come with the capital. We are currently raising a pre-seed round, so hopefully we close that soon and we move forward and continue growing.
Karl Buhler:
All right. Thank you. Thank you, all.
Nicolas Nemeth:
Thank you, Karl.
Speaker 1:
This podcast is available on Apple Podcasts, Deezer, Amazon Music, and Spotify, as well as on our website, sheppardfrenchdesk.com. We welcome your feedback and topic suggestions to make our podcast even more useful to you. À bientôt sur le prochain épisode de French Insider.
Contact Information
Additional Resources
* * *
Thank you for listening! Don’t forget to FOLLOW the show to receive every new episode delivered straight to your podcast player every week.
If you enjoyed this episode, please help us get the word out about this podcast. Rate and Review this show in Apple Podcasts, Amazon Music, Stitcher, Deezer or Spotify. It helps other listeners find this show.
Be sure to connect with us and reach out with any questions/concerns:
This podcast is for informational and educational purposes only. It is not to be construed as legal advice specific to your circumstances. If you need help with any legal matter, be sure to consult with an attorney regarding your specific needs.