Butterfly Network (BFLY) Q2 2026 earnings call transcript

Now we'll now hand the floor to John Doherti to begin so John please go ahead when you're ready. Good morning and thanks to all of you for joining our call today. Earlier Butterfly released financial results for the second quarter ended June 30th 2026. We also provided a business update. The release which includes a reconciliation of management's use of non-gap financial measures compared to the most applicable gap measures is currently available on the investor's section of the company's website at IR dot butterfly network dot com. I John Doherti chief financial officer of Butterfly along with Joseph DeVivo, butterflies chairman and chief executive officer will host the call this morning. During today's call we will be making certain forward-looking statements.

These statements may include among other things expectations with respect to financial results, future performance development and commercialization of products and services, potential regulatory approvals, revenue attributable to embedded partnerships through revenue share ship purchases or otherwise and the size and potential growth of current or future markets for products and services. These forward-looking statements are based on current information, assumptions and expectations that are subject to change and involve a number of known and unknown risks, uncertainties and other factors that may cause actual results to differ materially from those contained in the forward-looking statements. These and other risks are described in our filing made with the Securities and Exchange Commission. You are cautioned not to place undue reliance on these forward-looking statements and the company disclaims any obligation to update such statements.

As a reminder, this call is being webcast live and recorded. To access the webcast, please visit the events section of our investor website. A replay of the event will also be available on this page following the call. I would now like to turn the call over to Joe.

Thanks John. So good morning everyone and thank you for joining our second quarter 2026 earnings call. What a great quarter it was. We closed above the top end of guidance, delivered records revenues, gross margins and adjusted EBITDA all above where we thought we'd end up. As a result, we are raising our full-year guidance that John will share in his section.

Last quarter, I shared that three engines of growth were emerging and beginning to reinforce each other. Focus, common community care and embedded. What's unfolding across our business this quarter shows that that flywheel is now starting to turn and I want to walk you through each one starting with the one that's been capturing global attention, butterfly embedded. The world now understands why we've been so eager to share details about the embedded partnerships.

We can finally unpack what a couple of our partners have discovered is possible with our technology. Our vision for a new category of chip based ultrasound is unfolding right before our eyes. Mid journey's groundbreaking announcement to build a whole body scanner shocked the technology world and challenged conventional thinking in medicine. The promise of semiconductor based imaging had never truly been appreciated until now. As I've said to you many times, we are entering into an era where ultrasound will be liberated from big imaging and expanding beyond the four walls of the health system and moving to where people are when they need it. Butterflies embedded actually amplifies butterfly's core mission of democratizing imaging by partnering with companies who share that same vision whether it's a handheld probe, a wearable device or a whole body imaging system, one constant remains true.

Safe low cost imaging paired with massive beta capture in the AI era will transform healthcare. This is a chance to empower patients to better manage their well-being while creating one of the most important advances in improving human health. So no patients should be surprised with their health. But you know six days ago, I received a call from a dear, dear friend of mine telling me that he was just diagnosed with stage four colon cancer and it had metastasized to his lungs and liver. I mean just diagnosed stage four. Are you kidding me? You know how long it takes for that primary tumor in his colon to develop and metastasized? Could be years. Where was his MRI?

One of our employees was diagnosed with stage two pancreatic cancer just by chance. Had she not had a scan for another ailment, it never would have been found since pancreatic cancer is also asymptomatic and normally found when it's too late. But now with an unusually early diagnosis, she has a chance.

These stories unfortunately aren't rare. They're happening everywhere, every day to people we know and people we've never met. The recent unpimely passing of Senator Lindsey Graham from an undiagnosed aortic aneurysms, something that could be treated with late-saving surgery at pardon time, is a sobering reminder that even people with access to the best resources in the world can fall through the cracks of the system. So it's not about the imaging modality. MRI is the best imaging in the world. No question. But it's about the system, the cost, the barriers, the stakeholders and frankly the old thinking that screening is too troublesome for the current system.

Technology is changing that, semi-conductive based imaging, mass data processing, storage and AI will change that paradigm. It'll give you greater awareness of your health journey, helping make better decisions with your life and be described to your personal story.

Another key learning this quarter is how well suited ultrasound on ship is for neurotechnology. Probably one of the most profound uses of our chip will be the ability to image, to mask, to understand and potentially apply therapy to the brain in the future while pushing and pulling information from it. A left neuro showed us two major breakthroughs in the last two months.

First, it demonstrated a remarkably high resolution 3D transcranial ultrasound of the brain using a contract agent showing not only that imaging through the skull is feasible, but that it may ultimately offer diagnostic insights approaching those of functional MRI.

Next, they revealed a new way to use ultrasound to track the movements of the tongue to discern speech. Each manifestation of our technology can have global impacts to health and to quality of life, and this is just the beginning, everyone.

Before I move to focus update, I want to mention that we've signed two more embedded partnerships in the second quarter, bringing the total to 11, two very exciting additions, one another BCI company developing a novel application, and another pursuing a wearable for one of the most common areas of women's health.

So shifting to our focus business, we had several key accomplishments. We signed six more enterprise software deals deploying our Compass AI software to enable system-wide focus management and adherence. Many of these deals were paired with probe sales, and we expect as the software is implemented, the growing base of pros will steadily follow into these systems. Since last year, our Compass AI software pipeline has increased five times, and we are seeing the benefits of that now. Compass AI is how Focus becomes part of the healthcare workflow, driving adoption, utilization, and earlier diagnosis.

I'm very happy with the team's progress, and am equally excited about opportunity in government sales, including VA, DOD, HHS, and other federal agencies. In the second quarter, we received provisional authorization to sell to the full VA, and we anticipate full FedRAMP certification in the third quarter, which will make us one of only 500 companies certified. The largest purchaser of US healthcare is the US government, and this channel will soon be open to us. Our government pipeline has grown, anticipation of this accomplishment, and we're ready to execute on the significant opportunity ahead. Medical schools also continue to be an important area of strategic growth for butterfly. Today, we have a presence in more than 80 percent of the US medical schools, and we're increasingly seeing institutions move from purchasing a handful of devices to implementing a one-to-one ultrasound curriculum.

Schools like Kansas City University are leading the way with first-year students now completing their entire ultrasound curriculum on butterfly scan lab platform. I've got inaugural class completed this first year. We're already seeing insights that are helping other institutions build similar programs.

In Q1, we told you we placed nearly 1,000 probes in the six medical schools. In Q2, we more than doubled that through four additional institutional partnerships. As these programs have expanded, we've started asking a bigger question. Well, what happens after graduation? A recent survey we conducted across our medical school accounts found that while more than half say graduates frequently continue using focus and practice, nearly three quarters have no pathway for graduates to keep the device into residency, and nearly 60 percent don't track the graduates at all.

That reinforced our belief that there's an opportunity to better understand and better support new physicians as they transition from focus training into clinical practice. So that brings me to some exciting news this quarter. We entered a new partnership with the Edwards VA College of Osteopathic Medicine for VECOM. It's a novel partnership model in which not only will every VECOM student have a probe to train with, but we will partner on a long-term longitudinal insights program. As all of you know, butterfly devices are connected to a cloud which stores image data much like your iPhone does with iCloud. You get a performance metric on all users that help us understand usage patterns, location, and the types of scams being performed.

You're not quite ready to share the detailed logistics of the program yet. We have an exciting plan to track and learn from the ultrasound journey that follows a one-to-one medical school program. VECOM made the investment to provide every incoming student with IQ3 devices while butterfly subsidizes the initial distribution of IQ3 plus devices to get the program going.

You'll see our investment reflected in the lower ASP as we reported this quarter. We believe that's exactly the right investment to make as we establish what we think is a groundbreaking new model for medical education. This partnership represents the potential for more than $10 million in total you'll see that our team had a down quarter. We believe it's really no big deal as our distribution self through is up meaningfully year over year. We had a handful of larger orders shipped into quarter three, so we expect a much stronger third quarter ahead. So John will say more about this when he covers the financial results. One highlight we particularly excited about is Brazil, where we recently achieved regulatory authorization.

Brazil is the largest medical device market in Latin America and one of the fastest growing ultrasound markets in the world. Meeting Brazil's regulatory requirements is a great validation of our technology and opens the door to a significant long-term growth opportunity for butterfly in the region.

So I'll close that focus with butterfly garden. As planned, we've officially released our proprietary gain-standing capabilities including IQ slice and fan to both our garden and embedded partners furthering their development opportunities. In the second quarter we added a new garden partner focused on precision needle guidance with AI and we expect three of our existing partner tools to become commercially available by year end. Importantly those three partners will launch with direct access into butterfly's cloud allowing their AI results to flow right into our users existing clinical workloads without toggling to a separate application. It's an exciting milestone as garden evolves from a developer ecosystem into a commercial AI platform. So before I turn it to John I want to comment on our home and community care business.

We are ready to begin managing our first commercial state on October 1st. Over the third quarter we'll be training all the participating nurses in the infrastructure. We are excited for this to transition from a pilot to finally implementation. We will do everything in our power to support the success of this commercial execution and plan to discuss extending this offering to other states in the first half of 2027. We're also now in conversations to expand the service to other key partners. So butterfly home and community care is finally here and we expect a revenue in the fourth quarter of 2026.

With that I'd like to turn over to John to discuss the financial details. John?

Thanks Joe. Butterfly continued its strong and focused execution in the second quarter of 2026 with an increase in revenue driven by strong growth and our embedded business. Core focus was also solid with performance reflecting our increase in expanding focus on the enterprise market. Rose margin increased and we saw continued improvement in operating performance with further reallocation of resources towards higher ROI opportunities and markets. Building on the operational highlights, Joe just outlined, including the large TCV contracts for Compass AI and medical education and progress towards commercializing home and community care. Let me translate these into the financial highlights in the quarter. Record revenue attainment above the high end of consensus and above the top end of our guidance.

The highest gross margin for butterfly in its history. Adjusted EBITDA that was above consensus and our guidance range is improvement driven by our revenue performance, higher gross margin and continued financial discipline and growth improve unit sales of 23%.

With that, let me move on to our results. Second quarter revenue was a record 32.6 million and an increase of 39% year over year. Our growth was primarily driven by butterfly embedded. In addition in core, we had strong performance in U. S. health systems and medical schools, including a large sale to VECOM which helped to drive strong year over year unit volume growth, along with Compass AI sales gaining traction. Breaking things down between the U. S. and international channels during the second quarter, U. S. revenue was 27.6 million which was 57% higher year over year, driven by revenue from embedded as well as solid demand in core business with unit sales up 23%.

As Joe mentioned, international was down year over year. Total international revenue decreased by 14% year over year for 5 million in the quarter. We faced a tough Q2 comp against last year's record international second quarter, hated by tailwinds from the IQ3 launch. We also had a few deals expected to close in the second quarter, move out into the third quarter. We expect improving performance for the balance of the year. We are excited about our recent launch into the Brazil market and continuing to expand our global footprint. As I did last quarter and will continue to do going forward, I want to provide you with the revenue split between our core focused business and butterfly embedded.

We have also included this split in our 10Q. As a reminder, the core business includes probe sales and related software, Compass AI, other services, and in the future home. Embedded revenue currently includes one-time NRE payments, annual license fees, revenue from SOW driven development work, and chip sales to embedded partners.

With that, revenue for the second quarter was 21.9 million, an increase of 2% versus the second quarter of 2025. This increase was driven primarily by growth in volume and U. S. health and medical schools. Of note, and as Joe mentioned earlier, the core result includes the execution of a new strategic agreement with VCOM. This agreement is for four years with a potential TCV exceeding 10 million dollars. This also included preferred pricing for the IQ Plus to help secure the larger multi-year commitment to the IQ3. This investment in the Alliance of VCOM is a template for butterfly going forward to help complete our existing IQ Plus inventory while enabling border and deeper penetration of the medical school market ahead of the launch of our next generation probe in 2027.

Sales of the IQ3 and IQ Plus in the quarter were up 17% and 33% respectively year over year. The higher year over year mix of the IQ Plus in the quarter in the VCOM deal result in a 12% decrease in the ASP. Butterfly and Better revenue was 10.8 million and increases of 139% versus the second quarter of 2025. This increase was primarily driven by the mid-year in partnership.

Moving on to gross profit. Gross profit was also a record at 23.3 million in the second quarter of 2026. A 56% increase has compared to the prior year gross profit of 14.9 million. Gross profit margin percentage increased to 71% from 64% in the prior year period a 7.7 point increase. Gross margin percentage was positively impacted by the increased mix and higher margin of butterfly embedded revenue.

Moving to EBITDA and cash for the second quarter of 2026 adjusted EBITDA loss was 1.4 million compared with the loss of 6.2 million for the same period in 2025 and improvement of 78%. The improvement in adjusted EBITDA loss in the second quarter was driven by contribution from higher margin revenue and continued financial discipline. Our cash and cash equivalent balance excluding restricted cash at the end of the second quarter was 125 million and the use of cash in the quarter was 13.3 million. It's compared to the use of cash of 7 million dollars in the prior year quarter. We are well positioned as we move forward to continue to invest in our business in areas where we see significant opportunities for additional growth and disruption which includes scaling our focus business through global market and market segment expansion, continued penetration of Compass AI as a core operating system for health systems, app releases in butterfly garden and 2027 new product launches, continued AI and semi-conducting innovation with the development of our fourth generation chip, broadening butterfly embedded partnerships and moving home and community care to the commercial phase.

Before turning to guidance I want to update you on the general global macroeconomic environment relative to butterfly. We continue to monitor the conflict in the middle east and the ripple effects on the global economy as well as pressure from tariffs in certain markets and AI driven supply chain shortages. We have mentioned in the past that there are some impacts to our business however they have been minor and we continue to manage through it and make the appropriate adjustments. Our second quarter 2026 results are indicative of this and our third quarter and full year 2026 guidance include any expected impacts. I would now like to turn to our outlook to the third quarter of 2026 and for the calendar year ending December 31st 2026.

In the third quarter we expect revenue in the range of 26 million to 30 million for a year over year increasing 30 percent at the midpoint. We expect an adjusted EBITDA loss in the range of six million to nine million. For the full year 2026 we are increasing our guidance for both revenue and adjusted EBITDA. We expect revenue to be between 119 million and 123 million an increase of approximately 22 percent to 26 percent over 2025. We expect our adjusted EBITDA loss to be between 19 million and 23 million. Our guidance for adjusted EBITDA in the third quarter and full year includes increased investment in key areas to support continued innovation and revenue growth in our core business and our emerging embedded business for 2026 and beyond.

In summary we had a record quarter. We had our highest revenue for a quarter ever and we beat both our revenue and adjusted EBITDA guidance. We are very well positioned as we head into the second half of 2026 and as the raised to our full year guidance reflects we look forward to continued growth this year and beyond. We remain focused on gaining share through deeper penetration of existing customers and adding new customers in our core focus business and expanding our ultrasound on shift partnerships. The business continues to get stronger across core focus and embedded. This is happening while we continue our intense focus on driving operating efficiency across the business and return on investment. I continue to be excited about what is ahead for the company in 2026 and beyond.

Now let me hand it back to Joe for some closing comments.

Thanks John. Looking ahead we are making progress on all funds in our missions to democratize medical imaging. The mid-journey announcement was calculated. Millions of people have viewed the announcement and it was a trending topic on X for more than a week. Technology companies of all sizes have taken notice and while we've always believed butterfly was key to these conversations we now have a spotlight in the discussions around AI, compute and the many applications of ultrasound on shift technology. It's been an exciting last 60 days and we finally can communicate with investors and partners about the future our technology can open.

What's especially exciting is that our semiconductor roadmap is advancing not only in image quality but also the ability to generate large data sets with our high speed Apollo chip and push data directly into GPUs for large scale AI processing. As new compute architectures emerge of partners in vision converging image acquisition with AI driven data interpretation and this vision is becoming increasingly achievable. Our Apollo platform is moving forward on schedule.

We've been investing in our chip to meet the demands of both our embedded partners and the focus business. We've now completed our primary design and our transitioning beyond research and into the development phase. We're on track with our scheduled commitments to deliver Apollo chips to mid-journey on time by the end of 2027 beginning of 2028. Just as exciting we're continuing to make excellent progress on our next generation probe that will be built on our P5.1 chip.

The first full prototype images are outstanding and we're on track for our first quarter 2027 launch. IQ3 already delivers best in class and it's quality and will remain our workhorse. While the P5.1 builds on that foundation with the first SEMA chip to deliver harmonic imaging. This allows an even higher level of performance that's important to certain specialties like cardiology. What we've seen so far gives us tremendous confidence in what the head. Our P5.1 chip is showing us better images specifically in cardiology than we see from our PZT handheld competitors. If this holds true with better imaging and a handheld than our competitors both big and small, why would anyone buy anything other than a SEMA?

We are preparing for a big launch in 2027 and will continue that momentum by entering the cart business with IQ station later in the same year. The flywheel is turning. We've increased our guidance for 2026 for adding embedded partners more frequently and we'll be launching some key garden partners AI tools in the second year planning for our Salesforce to have what's expected to be the best handheld imaging in the world. Compass AI, Garden AI apps and then we'll march upstream into the health systems with the most holistic integrated focus platform to begin tapping into the existing multi-billion dollar global ultrasound cart market in health systems. On top of that, the home and community care will be going commercial.

It's all coming together. I cannot be any more excited about our future.

As we've said in the past, we expected embedded to be somewhere around seven to eight million per quarter. And that would fluctuate a bit up or down a million or two here or there. It was down a bit in the first quarter from that. Obviously, it was up in the second quarter. And we expect to maintain that cadence. Obviously, as we added additional partners and we go broader across embedded, I would expect that to increase, but that's where we are right now.

All I have is we added two additional partners and each of these are a lot of upside to them. And so they're all research programs. They're programs for people who are looking at building new businesses. And at any point in time, they can reach a milestone and want to go commercial. And that's a second bite of the apple for us. So our revenue in embedded includes all of our partners, not just mid-journey and so when we add people, there are revenue in the numbers. But it's when they go commercial that we can get big pops. And there'll be some stuff coming up in the future. We'll be adding more partners and I'd anticipate some of our current partners going commercial.

So this is just going to layer on top of itself. It's going to grow. And the mid-journey announcement has also opened a lot of new conversations that are very, very exciting.

Is it maybe just help us understand, can you get out to 20 partnerships plus over time and support all of those efforts?

Yeah, I think, you know, I don't see in my mind at the moment a limit to the partnerships, you know, because I think the beautiful part about this is that there is commonality, there is a flywheel. So we're not developing new chips for each person and then taking on all this cost and supply chain of CapEx. It's the same chip. What we're doing is building a software platform that allows them to do the work for themselves. And so, and then sometimes they'll ask us to do specific work that's right on the fringe and then we'll do it for them. But I see this evolving into something that's pretty standardized. People come in, you know, they license our technology, they purchase our hardware.

And then, you know, at some point in time, they buy chips and get licenses for software. And then if they wish some market protection and wish to purchase, you know, exclusivities, then that's when those deals get bigger. But, you know, when I look at, you know, companies that we emulate, you know, they have standard pricing and standard business operating procedure. And it's all into our current semiconductor platform. So I don't see a limit to you know, core part of the future of imaging technology.

And one thing that all the development work, we're also getting compensated for. So it's not as if we're doing that for free.

Yeah.

And I think that thank you for saying that because I think what we've done now is is up until I think the end of 25, you know, we were, you know, we were multitasking, you know, we would go into our core development teams and have them do things for partners. What we've done since the end of 25 is kind of firewall off and build an organization that are dealing with our partners. And we're going to continue to do that and it'll scale based upon our partner revenues. So it doesn't affect our, you know, our core business. We're continuing to make sure that embedded grows at embedded pace and focus grows at its own pace and home will grow at its own pace.

So, you know, we're becoming more mature and sophisticated and we're focusing on scaling ourselves. So, you know, I think we're going to see years and years of growth, you know, this is a highly, highly scalable opportunity.

So, yeah, home is built into our guidance. And obviously it's relatively small launching in, you know, expected to launch in October. And it will build from there. You know, we have multiple millions in 2027. But for this year, it'll be certainly short of that since it's only two months. But it is a very large opportunity. And it's a function of how successful we are at the success on our pilot continues in our first commercial implementation. You know, why would anyone not bring it everywhere else, you know, in the country? Because, you know, we're helping patients stay in these skilled nursing facilities, reduce the revolving door into health systems, reduce the overall cost of care of these patients.

And I think there's, you know, a whole flywheel on its own sense as it becomes understood how impactful it is to empower nurses with AI at the bedside to keep patients properly diagnosed and properly medicated as to where they are in their condition. I think it'll not just be congestive heart failure. It'll be a lot of other modalities. And again, this whole thing ties together, because as new garden apps come out, like right now with heart focus, they not only can do, you know, a beeline skin, but they'll be able to do a cardiac echo at the bedside. And then in the future, they'll be able to do other types of things like, you know, deep vein thrombosis or bladder or others.

And so it's not just about expanding it you know, to more and more at risk providers. It's also about expanding the use case within those providers and building this out as a whole modality that allows people to help patients where they are. And again, that's a part of our overall mission. So this is a flywheel. This does compound on top of itself. And you know, the center of that bullseye is our ultrasound on chip technology. And then as we build out new AI capabilities that grows the user base. And as we grow the user base, and we have all these new outcomes, then it grows the customers to do more and more things. So again, this is just the beginning.

And it's, you know, all the things that we've been working on, you know, we're kind of executing across the board. And it's going to build into something meaningful. So if, you know, we don't like to commit on deals that we don't have signed, but the opportunity in 2027, I think is real. But you know, we have to execute now. We have to delight everyone. We have to, you know, show that this works and that it's scalable for them. And if, you know, if that happens, it gets real big real quick.

So the VCOM deal was purely core. It had nothing to do with embedded. It was really, you know, the sale of IQ+, IQ3, and related software over an extended period of time. Did that answer the question, Chase?

I can talk more about the partnership. Yeah, absolutely. So, you know, VCOM has a desire for all their students to be able to learn ultrasound and have their own probe. I think there's, you know, a growing general consensus that, you know, when you have your own probe, you can scan yourself, scan your friends, you know, you have opportunities to really acclimate and become educated. And so VCOM has made a long-term commitment on an annual basis to now the state-of-the-art technology and brand new probes. And in order to help with their objectives of having, you know, more of the upperclassmen have access, we've used our IQ plus platform.

And we've subsidized, you know, those sales into those upperclassmen. So we make it easier for them to onboard into this model. They didn't just want to have, you know, a part of the school in that they wanted to have the whole school in it. And so we've made that available. And then what happens on an annual basis is, you know, they keep on staffing or supplying the next or the first class with the most recent technology. So it's a great, great, great signal to the overall education market. It's a great validation of our mission, our joint mission. And there'll be, you know, another announcement in the future. They have a very novel idea that we've agreed with fundamentally in that we will be supporting that, but we're going to allow them to announce it to their constituents and to their students.

And then when they announce it, we'll educate you all on what they're doing. But, you know, because of our subsidy of the IQ plus probes, that, you know, that's what kind of, you know, was reflected in the accounting of our ASP, which is, again, for us, it's the best way to make an investment, which is to put more devices into more students' hands.

Yeah, just, you know, and we've kind of laid this out before. There's multiple parts of this. There was the initial upfront payment, which was for, you know, 15 million. There was 10 million per annum for licensees. And then there was the development work with chip sales and revenue share to follow once they commercialize. We recognize that revenue as we do work against certain milestones. So as we progress against, you know, work that's related to the project, we recognize the different pieces of that. So, you know, in the fourth quarter of last year, we initially signed the deal. We didn't recognize all the 15 upfront. Obviously, we got the cash.

But we released that as we do work against, you know, the overall project, the overall program. We made a good amount of progress against some of the milestones in the second quarter. So that resulted in, you know, the embedded number being higher than say it was in the first quarter. The other thing I want to, I want to highlight on this. So, you know, the overall contract that we announced back in November of last year for 74 million, I wouldn't say that that's not it in total. You know, we talked about some of this in mid-June after you mid-journey had their event out in California. There is opportunity for us to certainly make additional revenue on top of that 74 over time.

Subject to the amount of work we're doing. If we do additional work related to, you know, our next generation ship. And of course, you know, when they commercialize the ship sales and revenue share. But, you know, for now, it's effectively us doing work against requirements for, you know, for working towards commercialization with them. And that allows us, as we look at that and measure the work that we're doing to release revenue in the respective quarters that we do it in. And then just to add on that, you know, we have 11 partners.

That's one. All the other 11 are revenue on software licenses. There's revenue on hardware purchases. There's revenue on semiconductor purchases. And that, you know, grows as we grow our partners. And also, as our partners are in different phases, you know, they, you know, they will then buy more and do different things. Also, we have of our other 10 partners, we do work for them also. And that revenue rolls into the number. So, and that grows based upon, you know, where they are in their development cycle and also as we add new partners.

So, in the first state, I think we're training between 15 and 30 nurses. I don't know the exact number, but it's something within that scope and size. And right now, until the program gets bigger, I don't think we're going to disclose a number of patients under management. I think we want to get a little more mature and a little bit more consistent before we do that. And when revenue becomes meaningful, we'll translate, you know, what our revenue model is and what the scope is. But, you know, right now, I think the first date is between, you know, these are nurses who worked in skilled nursing facilities full time. And I think it's between 15 and 30, I think, is the right number.

Yeah, well, I mean, training is a core competency of us. And we're very fortunate that, you know, one of our best internal ultrasonographers has taken on the role of going full time into home and embedded. And she's going to do a great job. And as we, as we scale, you know, we have access, one of the, you know, we have a great partner, we have several great partners in education and medical education. And, you know, we leverage our internal team for as much as we can do. But if we also had the wonderful opportunity to go into many states quickly, we have partnerships with, you know, state based education organizations that would be, and this is only one use case and one AI tool.

So the bar is much lower than what a normal training would be. So the ability for us to scale quickly based upon all the nationwide partnerships we have with individual training organizations and some of those, some of those organizations are national and global. We're very confident that we could do this deployment. And then, you know, once the deployment is done, we would, you know, make sure that we have the staff and the team in place to be able to maintain that because training is not a one time thing. You know, the value of this program is that we are with our partners every step of that step of the way for their journey for training, training new people, managing the data, managing data transfer, managing, you know, the clinical assessments and the whole thing.

And so we're eating our own dog food. We're using our own stuff to deliver value side by side with our partners.

And then maybe there's not an easy way to characterize this. But on the butterfly garden launches that are slated for later this year, is there anything you can share on kind of the commercial, the commercialization efforts that you expect from these partners? I mean, is it, you know, are they going to be making big splashes? Do they have large commercial organizations behind any color there would be very helpful? Well, I think that I think each of these companies are, you know, smaller, you know, growth oriented companies. They're not these large companies as of yet. But you know, we are going to help them become larger companies, we hope. I think what, you know, what we've been waiting for is is their FDA approvals.

And also they've made a lot of requests of us to integrate more into the platform. You know, for example, you know, while we've built an SDK that allows them to pull data for their AI models, we've had people say, well, we want to use your cloud to store, you know, our own data. And we want to be able to do other types of scans and whatnot. And so we've been building out the robustness of our garden platform in concert with where our partners wish it to be. And a lot of that now is kind of intersecting on the second half of the year.

And I think, you know, we're going to have, we're going to have three partners who will come online. And we're going to have, I think that's going to become a cadence now, because there's a lot of work happening. And I think, I think it's, you know, there's what's not present in the marketplace with the consumers of the technology is how impactful AI will be for them. And so I think each new app points to the entirety apps. And as you get, you know, two companies, three companies, five companies, 10 companies out there marketing their capabilities, it builds consumer awareness, it builds an identity that this exists, then there's more proofcases. And I think it's, you know, garden creates its own flywheel.

And, you know, I've mentioned in the past that I think this is the key to, you know, crossing the chasm to really getting, you know, the user base of ultrasound, of point of care ultrasound to increase, because the, you know, the learning curve is so high for, you know, standard ultrasound. But as there's more AI capabilities, people get more and more comfortable in using this every day. So I think that whole garden flywheel, as far as getting more partners in the marketplace, it turning into revenue, it turning into increased utilization, is now on the cost of starting. And we'll have exciting launches now, you know, each quarter going forward into 27 and 28.

Awesome. Thanks, Ben.

On, on, on embedded, you've been laying out in your investor decks, the, the many potential application areas and use cases with your current and potential partners. As you look at those buckets, those different categories, are there some that you see as generally sort of earlier in the pipeline potential or sooner and others that might take the more time in general or is it pretty even across the board as you look out over the next few years? Well, you know, there are a few partners where it is relatively low fruit. So like our first of our two partners that we've announced publicly, one was Mindera, which is a vascular robotics company. They were more, you know, interested in using our our current subassembly of what we have in our tech to help create the type of image they need and using some capabilities that only exist within semiconductor based ultrasound.

And so they will actually be commercial soon with butterfly over the next, you know, I don't know, within the next six months, maybe, maybe sooner than that. I'll let them make their announcements and I don't want to get too far ahead. But that, that is more about using our core technology to help amplify, you know, some really exciting novel things that they are bringing into the medical market. And then we also have another partner sonic insights that does fatty liver diagnosis.

That is will be commercial where the bar, again, is lower because they're using existing capabilities and implementing it into their systems. We then have a set of partners that are doing a lot of primary research. And that, you know, I would say, you know, the, I think it's for neurotechnology, BCI companies now in the garden, that they're doing work that is nuts.

They're doing work where they are looking at, you know, ways of understanding the brain that have never been done before. And I think that has a longer timeline to seeing something in the clinical or in the marketplace, because there's not only the technology of feasibility, but then there'll be, you know, I'm sure a long regulatory path in order to get there. Now, I will say, a couple people have more consumer-based ideas, you know, some are focused on chronic diseases, but some are focused on behavioral. And so the bar might be a lot lower, but we'll see. And then some of them have really novel clinical applications that I think are probably easier to prove than the brain.

They just have to be done. So I think there's a port, just like in any portfolio, we have some things that are pretty near. We have some things that are probably medium-turn and things are way out. And the stuff that's, you know, way out is, you know, I think the opportunities are, the markets are so large, it's hard to calculate. So it's a whole portfolio of things. And then, you know, on top of that, we're talking to a lot of new companies in the last 60 days that we hadn't talked to before that are very heavily resourced. And you never know if one of those catches on, it could be, you know, a mid-journey type of, you know, hit the ground running hard.

And that can happen at any time. The mid-journey announcement, you know, definitely woke up or built awareness of our capabilities, you know, in the, you know, large healthcare community and also the big tech community. And while a lot of our partnerships so far have been with earlier-stage companies, obviously mid-journey is, you know, a medium-stage company with a lot of revenue. We're talking to a lot of, you know, very well-funded companies. And you never know, one of those can kind of change the calculus like mid-journey did.

And just secondly, on home care, I think you've talked in the past about the business model being different from butterfly in that channel. How are you thinking about that revenue model, what will it look like with these customers? And then just secondly, what milestones are you looking for with this first customer to get you comfortable to kind of put the foot down on expanding to additional customers?

Two great questions. So the first question is simple. We will charge a fee for the size of the population we manage. We won't go into the mechanisms of that fee, but there will be, you know, as the patient population increases the amount that we charge to manage that population will increase with it. So that's one set of consistent revenue. And then there will be a charge for every scan that's done because there's a read associated to it and work that we have to do. So there'll be kind of a fixed component based upon the size of the population. And then there'll be a variable component based upon how many of the scans that are done.

And as that matures, you know, that that model is just very simple. You know, you add patients, then your fixed kind of revenue goes up. And then of course, as you're adding patients, your variable scan revenue goes up. And as we, as that matures, we'll be able to, you know, kind of unpack that for you. What was the second half, the second question? First was the revenue. What was the second question? The milestones, just in terms of the milestones. Yeah, 100%. So, you know, within this patient population, we're focusing on congestive heart failure patients. Over the last decade, it's become really aware to fee for service payers that there's a revolving door between nursing homes and health institutions.

And so someone goes to a nursing home. They, you know, their care might not necessarily be consistent with their disease progression. They then have to be put in an ambulance sent to the hospital and cared for, have their diuretic managed. And then they get sent back to the nursing home only three to six months later to have that occur again and again and again. And so there have been now capitated payments. There have been penalties and there have been incentives on reducing the cost of care for those patients. And so what we're targeting is a reduction in admissions and readmissions for congestive heart failure patients. And, you know, nationwide, if you're a diagnosed congestive heart failure patient in a skilled nursing facility, you're going, you're probably getting admitted or readmitted in 25 to 35%, you'll see a readmission rate or admission rate for that population.

So what we are targeting is a reduction of that readmission rate. So we've set goals. We were very productive in the pilot, but it was a smaller, of course, population. What they want to see is are we able to maintain the type of success of keeping patients healthier and in the bed and stable longer. And if those results translate, I mean, I forget the absolute number, but when you look at how much at risk providers have to pay for readmissions, it's pretty astronomical. You know, I think, you know, 70, 80% of our healthcare costs, it's the lion's share of healthcare is managing these chronic illnesses. And when you reduce an admission or a readmission of these patients, that it goes, you know, right to, you know, it goes, I don't want to say it goes right to the bottom line, because I don't fully understand, I don't want to profess their economics.

But, you know, by reducing the readmission rate by 5%, by 10%, the economic impact to these at risk providers is significant. And so that's where we think, you know, as we sit back and we look at the macro picture of democratizing medical imaging and bringing medical imaging to the patient's bedside, we think that, you know, earlier diagnosis and managing patients where they are are probably going to be one of the largest reductions in overall healthcare costs by simply democratizing earlier diagnosis. And, but the learning curve is high, the bar has been high, and it's a complete shift of behavior. That's why we are doing home, because we've developed the skills and the capabilities of deploying this technology.

So again, we're eating our own dog food, we're going to do it ourselves, we're going to take risk with our provide with these at risk providers, and we're going to show them that we can reduce these readmissions. And when we do, we're, there is a component where, if we're successful in reducing it by a certain factor, then we're going to actually also be rewarded by a percentage of those savings. So, and of course, if we don't, then we bear, we will, it goes the other way, and we bear more cost of it too. So this, we are going with some risk, and we're doing it glad, gladly, because, you know, we understand what this technology is capable of doing.

So it, so the moment these pilots and the, the early, the early implementation actually starts showing the real cost savings, that's when these at risk providers are going to jump in with both feet, because that's just a lot of money that'll hit their bottom line by doing what we want to do, and everyone wants, and that's everyone be, live healthier, better lives, you know, be able to deal with things when they occur, empower caregivers, where the patients are, and not have to have these, you know, significantly recurrent high cost, incidences. So this is a very big deal, because it's not just, you know, what it means in revenue to butterfly, but I think we can reduce the market development time, and we can educate people on the power that this can have a lot sooner.

Thanks, Joe, and congrats on the key progress.

First question is about the next generation pro, and the card market entry, you have talked about the harmonics tip, it's in production at PCMC, and we are expecting the first launch in early 2027, and we can see that IT patient is also targeting card margins later that year. You said that once butterfly achieves that harmonic imaging, there will be no reason to buy a single-dimensional handheld device. This is a very, very great claim that essentially argued for market year capture across the entire central system, and my question is about the quantification that can you quantify the address for market, your targeting using new probes versus the Q&A-3, and give us a sense of expected price points.

Thank you. Well, I have to tip the hat to my other analyst friends. That was the best question today. So, fabulous question. A lot there to unpack. I'll do the best I can. So, first of all, when the digital camera reached five and seven megapixels and had an equivalent image to film, what happened to the film market? Why would people still use an analog device from a handheld standpoint? We've asked ourselves, once our image quality is better than other handheld TVT devices, like literally, why would you use them? Whether they're three and one or they're specific to a certain application, they're not networked, they don't have the network AI, they don't have 21 different presets, they have to have multiple, they have to have multiple other things that have to occur for them, and they're also expensive.

It's like, well, if our image quality is better, why would they ever use them? We'll see what the market says, but in my extrapolation of where we're at, our next probe is just going to be better, and it'll be like, okay, I think we've reached that point now, and that's why image quality is not going to be the factor after our next probe, it'll be AI processing and delivering more value at that bedside. Now, today, the point of care ultrasound market, in actual revenue is only $300 million, $350 million based upon a signified report that just came out just a month ago, and we're the fastest growing handheld company in the world based on that report.

We know the overall market for handhelds is, we think, upwards of $20 billion if everyone gets a probe, but the existing market today is a $300 million market. Now, the existing market for small compact carts and focus carts is about $1.6 to $2 billion, and that's how many, what the existing market is, and for a small company like ourselves to take the burden of market development, it's a lot of cost, a lot of effort, a lot of education, et cetera. But now to enter a market where we're just going to have a better product, it's an existing market, the dollars are in the hospital's capital budgets, they want to do it, we're just going to walk in with a better product than we're going to take market share, and that's what happens with IQ station.

And so the first phase was making sure that we get our image quality to a certain phase, and then the second phase is, we're going to have a better product offering than existing focus carts that are out there, because those focus carts are kind of de-featured carts, they're not the type of network carts, and they're also certainly not networked on a one-to-one basis too. So our next product, I think, is going to generate a lot of revenue for us, because we won't have the burden of developing a market, we'll have the benefit of coming in with a better product in an existing market. I think the other upside revenue opportunity with the next phase of our imaging is, you know, we believe that our next probe is going to have a better cardiac image than the largest imaging companies have for their handhelds.

And when people see it side by side, again, to have one probe that can do the whole body, that's networked, that has AI, that can merge into the health systems, EMRs, and all their data, and have a better image. You know, before you'd have to have, you know, before you would have to, you know, give up something when you had something that did everything. Now, this probe is just going to have a better image, and so you can do everything and have the best image, and why by anything else.

Thank you, Joe. Thank you, Tony. Thank you for your time.

Thank you. All right, everyone.

That was the last question.

Indeed.

Okay, well, sorry, we're about seven minutes over on the call, just a lot. Thanks for all the questions for our analysts. You know, please excuse my enthusiasm, but, you know, that my first few years, first few years here were a pretty hard road, you know, getting things, you know, situated, but butterfly has had a vision of democratizing imaging, of having every doctor, every nurse with their own probe, and that vision has increased, and our execution, you know, is right on. And so I'm very excited about what we'll deliver, you know, into the future, and just very much appreciate everyone's support. Thank you.