Good morning. Let's see, it's approaching 9:00 A.M. I'm just gonna make it, let it run until 9:02 A.M., and then, get started. Fredrik, if you're on the call, can you just give me a thumbs up or a message if you hear me, okay? Excellent. Thank you. You see the presentation, right, Fredrik? Even better. Just waiting. I think I'm gonna wait one more minute 'til it says 9:01 A.M., and then we'll kick off. Okay, I'm gonna start right now. Welcome all to the Q1 2024 results from Artificial Solutions, ticker symbol ASAI, of course. You'll find the presentation also on investors.artificial-solutions.com. And of course, some of you may or may not have been with us before and know that we go to market as Teneo.ai. So if you go to artificial-solutions.com, you're actually redirected to Teneo.ai, which is our product, our registered trademark, which is how we, we go to market. So Artificial Solutions is, of course, the company where you'll find the investors' presentation, so investors.artificial-solutions.com. Without further ado, I'll kick off. You're gonna be seeing me and Fredrik today. I, of course, have been there now for—both of us have been about three years. It's a company that had a management overhaul three years ago, and since then, we've been working hard to provide value to you shareholders. And thank you all that participated in our rights issue in Q1, and we'll show you a bit of what the results that come out of our continued focus forward here. So I'll go to a business update first, and then we'll go to the numbers. Just a quick brief for anybody who's not been with us before, ASAI in a nutshell. It's a company that's been around for a long time. We've been in the space of natural language understanding since 2001. This means that we have some of the foundational patents in this space, and this space has, of course, heated up a lot because natural language understanding is exactly what LLMs or ChatGPT or everything else that you hear about in the AI space is all about. The generative AI space is actually generating text, so that's also first understanding and then generating text related to that. We've been in the space for a long time. That gives us an advantage in several areas, and one of the areas is that we have the largest implementations of such technology with natural language today in live. So, quite interesting background from the company. We started a journey about three years ago. I'll go in a bit further into that journey. You see some of the stats here on the side. I'd like to highlight the one at the bottom right. 40% containment is something we reached in Q1 at two of our customers, meaning that 40%—over 40%, and so obviously, it's a round number, but over 40% of all phone calls that come into these companies are understood. You understand why the customer is calling, you can also help the customer, and you can close the call without involving a human. So that's a very, very strong step. It's compared to anything else in the industry, it's outsized, right? So, there's a few cases with five, maybe 10%, but those are in small volumes. This is big volume, 40% containment, so very, very interesting results coming from our customers during Q1. Of course, that's a big saving, but it's also great for customers, since they're happier if you're served by the bot than by a human, because it's much, much faster. I'll show you an example of that, of a contained call, but before that, just quickly again, reiterate our story. Started out in 2021 with a new management team. We rebuilt the customer to, the com-- the company to a SaaS company, divested professional services, so all our revenue today is related to the software, not related to services that we provide. So, there's no projects or anything else delivered by us. Sold to some very large customers, took them live, and started prioritizing our product development and seeing what main use case was it that these customers were using. These are very large customers: Microsoft, AT&T, Swisscom, Telefónica, et cetera. We saw what they wanted to do was use this technology to answer the phone, understand why the customer is calling, take action on it, and if they can't solve it, then route it through to a human. We call that OpenQuestion, so that's a product we launched beginning of last year. We've got our customers onto that. Again, that 40% containment that we just spoke about. Now we've been focused on growth in those customers, partnering up with tech firms. We're part of the GCP, AWS, and Microsoft Azure ecosystem. Very aligned to Azure and Microsoft. We run on Azure, so when we make deals, Microsoft salespeople make money. We're now also, since this quarter, we are on the Microsoft, if you have a big agreement with Microsoft, called a MACC agreement, which all enterprises do, they can actually draw down from that agreement. So they commit a certain volume, they can draw down our technology from that without negotiating a contract with us. So that's gonna help us a lot in the sales cycle. And of course, now the focus this year is new logo hunting and getting to cash flow positive on an EBITDA level. So we are positioned to cater to large-scale enterprises. We have, during this quarter, found a way to also provide to certain niches or certain categories of small, medium business that have other benefit effects for us. The first such was this quarter was MedHelp, which of course, is in the same space as one of our very large customers, NHS, which is moving quite slowly. So MedHelp, hopefully, which is a very quick-moving company, is gonna be able to show NHS the way a bit too, apart from the fact that they themselves will benefit, of course, from the technology. So in all the ecosystems, as I mentioned, some very, very strong customers. AT&T, Swisscom, you see some quotes here from the CEO of Swisscom. But we are also the only game in town that has millions of phone calls that are answered on the phone and understood by our technology, so very strong position. I'm gonna play just a little bit of this. Some of you have heard it before. This is a traditional IVR or a traditional way to call a company. Sorry, 62% of enterprises today have this. I have still not met a single enterprise that does not want to replace this. However, there's many things in play when you're trying to replace this, not the least, that you need to also replace your contact center to a, in a large likelihood, and that's, that's something that takes time for these large companies. But let me play this very quickly first, just so you can feel the pain of... Oops, I actually need to stop sharing. I need to reshare with sound. Sorry, my fault. I didn't include the sound here. I'll do that again. And there we go. And this is then, again, a traditional IVR. 62% of enterprises have something like this. I'll just play a short part of it. Welcome to Tele2 customer service for private customers. Are you a business customer? Please customer? Please contact us at 944. 944. For English, press star. Please enter your social security number with 10 digits and with hash. You will now be given a number of options. Please listen carefully to all the options before selecting the correct one for your inquiry. For technical support and troubleshooting, press one. Invoice questions, press two- I'll stop it there. This takes about one minute, 35 seconds, and at the end of that, you're connected to a queue, which in this particular phone call, of course, that depends on when you call, was a 45-minute wait time. I was asking for technical support because I have a broken device. Now let's listen to the future. Hi, thanks for calling Microsoft. To help us to improve the quality of our products, services, and training, this call may be recorded or monitored, and information collected on this call may be transferred to other countries. To help me best assist you, I need to know if you are calling as a home user or a business user? A home user. Looking forward to helping you. Please tell me what I can help with. Yeah, I got an issue with my Surface. The screen is blank. Let's get you some assistance with that. Please tell me a bit more about the issue you are experiencing with your device. Yeah, when I move the mouse around, it doesn't turn on. Okay, I can help you troubleshoot your power issue on this call. Would you like that? Yes. Okay, let's get started. Is your device currently plugged into a power outlet? Yeah, it is. Okay. Next, is the tip of your charging cable lit? Yes, it is. Hold down the power button until you see the logo screen. This will force a restart and may take up to 20 seconds. I'll give you a chance to do that now, and we'll check back with you in a bit. Just let me know at any time when you have completed this step. Okay, I completed it. Okay. Did this help to resolve your power issue? Yeah, it did. Thank you. Great! I'm glad I was able to help resolve your issue. So that was also a minute, 35 seconds. The only difference was that it was totally end-to-end managed by the system. And again, this quarter has been the quarter of what the, what's called containment in this industry, and these use cases are extremely powerful. This customer question has also rolled out during the quarter into Japan, and also does this in Japanese, which is incredibly powerful. And it's not another one that has this. Google introduced something like this in 2018. You may have remembered how you book a barber shop, or you book a salon, as they call it in the U.S., but, it's still not working in the Google space. Microsoft introduced it, they've retired theirs, and now obviously working with ours. The only question is, what's the pace of replacing these old keypad IVRs? It's not a question of do people want it or not. And what's the reason behind this? So, we've done testing with the Banking77 test set, that's something you can download from Hugging Face. That's test data, it's real, real live calls that you can then submit into the system, and then those are graded by humans, and then you can grade your voices to humans. And, so these are—but basically, they're regraded by humans as well, so they're 100% accurate on the human side. And here's what it looks like on the, when you submit it to the different systems that are out there. So, Amazon Lex is, of course, Amazon system. There are a few others here, Microsoft CLU, IBM Watson, et cetera, Google Dialogflow. What you see is the percentage, so 74% on Dialogflow of the phone calls are actually correctly understood. To really have a conversation, you need to be above 90%. The threshold for a good call center is around 92%, so when humans pick up the phone. 95% is the reason why our solution works, and this is patented solutions, which is part of the reason why our patents are valued at SEK 1.6 billion. We have another thing that we've introduced during this quarter, and this is totally new. You also see that it's a different background, it's a different, so it's a different look and feel. It's because it's not an enterprise product that you sell on the business benefit per se. I'll explain a bit more about this. We're now looking how we're gonna be taking this to market and what the next steps are for this product. It started out with ourselves needing to understand the... If you look on the cloud on the right, this says Anthropic, Bard, you have, Azure, OpenAI, et cetera, on there. There's so many different models now. There's Mistral. I don't, you're probably not following all of this, but there's probably, like, 100 different models, and some are good for some things, and some are good for other things. Which means that if you're building a solution today, you need to communicate the different models, and you need to understand which one to choose, but you also need to make sure that you're compliant. So you need to be efficient, so make it cost-effective. You need to be able to optimize, so, for example, things that are faster need to go to a small language model. So the things that need faster responses, there's different SLAs on different models. You need transparency, so you need to know what data you sent where and what data came back. That's for EU compliance and soon also U.S. compliance. And you also need it for risk management purposes to know where your data has been and what data has gone back and forth from your company. So we started developing a platform like this, showed it to the Microsoft AI Inner Circle partners. They were very, very... They really liked this product. We started implementing it within Teneo, so it's a SaaS product. Then we found that companies were not interested in having this as a SaaS product. And there's many reasons for that, because this sits in the middle of their compliance effort. So we've done rebuilt this. We took a small team, it's two people, that rebuilt this into a standalone product. So it's now a package which has nothing to do with Teneo. It's not related to our code base, and it can be implemented in anybody's environment. So it's a different sales motion. Working to look at it, but it takes whatever comes from the application, and it's a gateway that sits in between that and the LLMs. Very interesting development, and there's several reasons why businesses would like this, and we're now looking at how we're gonna be taking this to market. But really, another stellar product. We needed it ourselves, and now we're able to productize it in just a few months in something that's totally unrelated to Teneo and can be sold in a totally different sales motion. This is sold to engineers, right? The people that develop. Okay, so just a quick background on the business. So we're a very strong player with strong industrial backing. You saw the case here from Microsoft, and we have the largest references in the high-growth AI market. Answering the phone or natural language understanding applications is viewed as a growth market within AI. Just this morning, spoke to an investment banker in the U.S. that commented on our report, and, before he went to bed, I suspect, since he's in California, and he said, "It's very interesting to see that, yes, this AI market still hasn't really taken off. A lot of people are still in a POC and pilot phase, but it's interesting to see that you have some really, really solid use cases." So really good, really good, and really good interest among large enterprise customers for this. We have an NRR today of 141%. That means net revenue retention, meaning we increase our revenue on existing customers, which means customers really like what we're doing. They're really satisfied with our product, so that's also very, very strong. Saw our gross margin climb up this quarter. If we have a fully deployed customer, like we showed here, we're about 95% margin on a customer like that, so definitely going to a really enterprise SaaS margin here. It's very difficult to replace us, first of all, because customers are happy with what we do, but also there's very strong costs in replacing us because LLM, also, the things that model this is patented by us. It's not something that you can export and use in a different system. So, it is our technology, it's our patents, and of course, our platform lets customers use any model, including GPT or any other LLM model. I want to show this. The market is on fire. Like I said this morning, investment banker from the U.S. that, that told us, "Everybody's talking about this. You guys have the best references here." It's really heating up with new entrants. The LLMs are slowing down adoption a bit. I was hoping to close out two of the large ones, last quarter. We're still working on those. We haven't lost any deals, but we are still, it is a lot of fear, uncertainty, and doubt around the LLM space. We're still the only solution in town with live large-scale references, and investors are scrambling to find where to move. You see, LangChain landed $25 million Kore.ai, which is a, basically what Teneo was three years ago... that type of platform. They got a $150 million investment this week from FTV, which, by the way, which is backed by NVIDIA. That's why it's not NVIDIA itself, but very interesting. $150 million on about $20 million of revenue, and obviously, they didn't sell the company, so this is an investment, so very high valuation in that space. So very interesting, and also some established players are very much under threat, and that would be Genesys, for example, which was gonna IPO last year, did not IPO because people are seeing now that it's moving more towards AI and less towards the core routing technology in the contact center. So very interesting industry, lots of stuff happening, and that sort of leads me into this, which is not something I am running, but, on behalf of the board of directors, I share this message. You can also find it, of course, on the website there. It's still ongoing. It's just a lot of different things happening, and the, the board doesn't wanna sit with any sort of inside information, that there are discussions, but there's nothing concrete at this point. But just to make sure that this message is out there, there are still the strategic review by the board of directors, and it's has to do with, I would say, the U.S. market, which is really boiling at this point. Okay, let's move to financials. Quick summary here. I'm not gonna go through that. We'll go through it in detail as we come along. But really just wanna highlight the SEK 67 million ARR in Q1 2024. It's if you compare that to where we were with about 45% PS back in 2020, we've added in the region of 4 times the software revenue, which obviously is impacting gross margin, but then, of course, we also worked on the OpEx side, so we're getting better and better on the EBITDA. And we're tracking on our internal target for the financial goals, so we're right on there on the from a budgetary perspective. We still need to grow in the coming quarters, and there's hard work on that, but definitely tracking on the right track for that. So operational highlights, record quarter, we had 40% year-over-year growth in SaaS API calls. Very, very strong. I mentioned already that Microsoft also went to Japan. We call them the global American tech company, outside the investment community. Microsoft has themself presented this in investment conferences as well. A number of renewal agreements signed, actually a lot, and also very happy to have a new logo, and that was MedHelp, which, was after the quarter, but still very, very important for us and a very important space for us. That's one of the key niches where we wanna go with the smaller offering, where we can provide a cheaper platform, to these companies, so that means we can still make money, even though it's a, it's a lower price point. Teneo 7.4 Copilot, released in January 2024. Copilot, like you would imagine, Copilot in Office, helps you create your solutions. Very strong offering using the AI space. That, together with GEICO and the SMB, just shows that our R&D is also on fire. We're in the Microsoft Azure Marketplace. Like I mentioned, you can now buy us on your MACC agreement, and we also unveiled the, the RAG solutions for enterprise AI. I'm not gonna go into RAG in this call, but if anybody wants to know more, they can call me. The problem with the RAG is that you get about 10% hallucinations, even in very large companies with lots of resources. We help you with that, with input, output filtering, and also help you then with the GEICO gateway to route to the right LLM. We also, of course, thank you very much for the rights issue that we closed at the tail end of Q4, beginning of Q1 2024. So with that, I'm gonna give it over to our friend, Fredrik, our CFO. Thank you, Per. So let's kick off. Per mentioned a lot already, but, I mean, let's just reiterate a bit on the numbers in the quarter. And for the full year 2023, and also continuing into Q1 2024, we experienced a solid growth in recurring revenues, and also as you also can see in the numbers, right? We also significantly improved our EBITDA, which is very satisfying. And in the first quarter, we reported 99% recurring revenues, and this is also, you know, coming back to what we have had as a target to... that it's manifesting that we are a pure SaaS company, software company now. Our recurring revenues experienced a growth from SEK 13.4 million in Q1 2023 versus SEK 17 million in Q1 2024, so a growth of 27%. Per mentioned this as well, the growth is primarily driven by our existing accounts, so our existing customers are growing with us, and that's a bit how we want to continue to grow on these large accounts since the potential is significant, I would say. This is also evidenced in our NRR number of 141%. Coming back to that a bit later as well. Our gross margin also improved from 56% in Q1 2023 to 79% in Q1 2024, so very satisfying number there as well. As I also mentioned, EBITDA improved to -SEK 8.5 million, and that is obviously a consequence of higher sales volumes and also the fact that we also increase our API call revenues, which is the really high-margin revenues for us, and also the fact that we also have reduced our OpEx versus Q1 2023. Solid cash position, SEK 25 million, and also a bit higher if we also adjust for collected accounts receivable in the beginning of April. So, very—I mean, to summarize, I mean, a very satisfying quarter. Best quarter ever for us in terms of numbers, sales numbers, EBITDA numbers, et cetera. So, very satisfying quarter, I would say. Next slide, please, Per. Coming back a bit on NRR, a new metric that we introduced last quarter. And it's also kind of measuring how well we're growing our existing accounts. And obviously, for those that are not you know very into SaaS companies, so a number exceeding 100% means that we are growing in this respect, simplified. So... And during 2023, our strategy was basically to grow on existing accounts, and that has somewhat now tuned into also focusing more on new logos as well. But for 2023, and now also in 2024, beginning of 2024, we have a very solid development on our existing accounts. And also to put some perspectives on this NRR number of 141%, when we compare with similar type or other type of B2B enterprise software companies reporting 141%, that's quite rare, I would say. So, we ranked number one in Redeye universe for SaaS companies in Q4 2023. And, I think, we would be surprised if we are surpassed by anyone else in that regard in Q1 as well. So a very, very, very strong development from our existing accounts in Q1 2024. Next slide, please, Per. API call volumes, particularly on the SaaS side, is a key indicating on... of how our business is developing and growing. And it's basically an indicator of how our customer application and the usage of them are growing. So with our revenue models, where we have a significant part of the revenues coming from the variable piece, which is linked to the volume, this is a key KPI for us. So you can simplify, say, that the more applications, solutions, covered regions, languages, et cetera, the higher API call volumes. So high volumes is a good thing for us. And in Q1 2024, we reported the highest API call volumes ever. So we had an average of 24 million calls per month in the quarter. So, it clearly shows that we are back on the growth trajectory, and we also look forward for continuing growing, even better than the market, also in the rest of 2024. Next slide, please, Per. SaaS and total ARR. Obviously, strong API call volumes also translated into a strong ARR growth numbers. So the SaaS ARR grew with 32% year-over-year, Q1 2023 versus Q1 2024. And the total ARR had a growth of 25%. So overall, a very, very strong growth in the quarter. Next slide, please, Per. And this is even more numbers, and some of them we already communicated during the call here. But just to reiterate, so recurring revenues grew from SEK 30 million in Q1 2023- SEK 17 million in Q1 2024, and a growth of 27%. And also here, I mean, the fact that we are growing the valuable recurring revenues, that's very encouraging, right? And as I also already mentioned, I mean, we do see significant further volume potential in our existing accounts. And where we also see potential, I mean, for to continue to grow, you know, SaaS ARR multifold with the number of those customers going forward as well. And yeah, coming back again on our NRR of 141%, it's a clear signal that we are delivering a very, very attractive software or platform for our customers. And we also see a strong continued commitment and high interest in our SaaS offering from new customers, as Per mentioned, but also on our existing accounts. We anticipate that we will continue to grow stronger than the market. The growth rate in the market, kind of communicated by Gartner, is estimated to 38% per annum until 2031. So we see a lot of potential going forward as well. With that, we can go to the next slide, Per. Recurring revenues by type. In this one, I want to highlight the boxed part of the graph. Basically, API call revenues now constituting 60% of our sales. And as you can see, I mean, the growth, if we look then, I mean, Q1 2023 versus Q1 2024, is primarily coming from the fact that we are growing our volumes both on SaaS, but also on our non-SaaS customers as well. So, a very strong development year-over-year. And this also ties back into our, you know, revenue model, which has significant operational leverage. A lot of SaaS companies have their model built on number of seats and how many users you are deploying in your SaaS solution. But for us, it's more, I mean, how much volume our customers drive in the platform? That's the key metric. So, the fact that we can grow based on volume is very attractive for our shareholders in the long term. So next slide, please, Per. And this is also... I mean, the volume aspect is also tying back into our gross margin, where we also can see that we are improving our gross margin. And this is related to the fact that we are growing the SaaS vol-- API call volumes, and that's also driving our profitability. So when we have customers at high volumes, we are seeing gross margins exceeding 95% on those customers. And this is also tying back to that we also see the effect in our gross margin. And with continued growth in API call volumes, we will also continue to see improved gross margins. So with that, next slide, Per. On our OpEx, we are more or less on par with our OpEx in Q4 2023, and we are significantly lower than in Q1 2023. And during 2023, we have done some simplification actions. And that means, basically, that we are streamlining our operations, and we have also reduced our headcount during the year as well. So that, that's one effect of the reduced costs. And then, in Q1, we have also had a salary review, and that also caused us to somewhat increase our salary base for our employees, since it is very attractive staff that we have in our company, given what is happening also in the rest of the market, right? We foresee, going forward, a slight increase in OpEx. Not anything dramatic, but run rate-wise, it could be SEK 2 million-SEK 3 million in the quarters. And that's primarily linked to the fact that we are increasing our investments in marketing and sales activities, due to also the fact that we see a very strong pipeline and that's something we want to capitalize on, going forward. Next slide, Per. Cash position of SEK 25 million in the quarter. And also, beginning of April, we also collected close to SEK 5 million in accounts receivable from customers that we were expecting to have been paid by the end of quarter. But we received them beginning of quarter, which can be the case sometimes with large customers, which we are primarily working with. So adjusted cash and bank position of SEK 29 million when we are ending the quarter. Over to you, Per. Thank you, Fredrik. So in summary, before we start the Q&A, let me just mention some stuff while you guys get ready. So in order to ask a question, you need to first raise your hand, I'll unmute you, and then you unmute you. So it's a double unmute. So I'm just gonna summarize very quickly. Obviously, the numbers you've seen here, still want to highlight that SEK 67 million ARR. It is, it's a very high number in our nascent industry. I also want to highlight that we have now the possibility, so it's sort of a new product, to go to SMB in certain niches, very important for us. I want to highlight the new logo, MedHelp, very interesting for us, and the fact that we have now two strong products in this hot AI space, it's GEICO, but then also, of course, the OpenQuestion, which already has all the references. The big focus, I have 12 key performance indicators that I follow in the organization. The one that we really need to work on this quarter is sales in the large enterprise. We have the pipeline still, we haven't lost anything. We just need to get these customers to close. So there's a few tweaks we're going to do on the marketing side, messaging side, and try to get around this constant waiting for the contact center project to be ready, which is the big stopping block in the organizations. A bit of LLM fear, uncertainty, doubt, but most of the time, the problem is the slow pace of the large contact center project. That's going to be my focus for this quarter. So let me now open up for questions, and let's do—I'll actually stop sharing. Sorry, I'm on my PC today only, so I can see we have Mark. Let's see, Mark, Mark, Mark, how do I unmute you? Probably need to push people. That's how I do it. Sorry. Allow mic for Mark. Mark, and now you, Mark, now you can do the same. Hello, can you hear me? We hear you. Oh, perfect. Hello, Per and Fredrik. So, can we start on some more insights into the sales cycle for these larger customers? So like, are there any indications that this might change in the near future, or do you just have to work around it? We're gonna need to work around it. We're gonna need to find a way, and I think the really important one is this, it's called Microsoft Transact, is the technical term for it, but basically means that, and we're talking large customers, you know, like Microsoft, these type of customers, that's what we are working on in the pipeline. We need to get around it, and I think we can get around it with this MACC agreement. So essentially, all these customers have a lot of Microsoft consumption. Let's say that typical customer has $250 million committed consumption from Microsoft. They draw down with Office, with Copilots, with OpenAI, and they need to fill that. And of course, Microsoft's quarter ends now in, or year ends now in July, end of July. So we're gonna use that momentum for anybody who has MACC left to try to push these deals in further. And then the other thing is, we're trying to develop a product, so like you saw, we came out with quite a lot last quarter, but this product would make it possible to first implement in the old contact center platform, which usually is a Genesys on-prem, I would say 95% Genesys on-prem, and keep the implementation and just change a small piece of integration into the Amazon Connect Sprinklr or whatever the customer is moving to. So that's another thing that we're doing to try to remove the obstacle of first having to finish off the project. All right. You state that you decided to quickly focus on creating a SaaS delivery at a lower price point. Can you talk a little bit about this and the pipeline you see there? Yeah, so this is quite new for us, and the thinking here is that if we can show in certain verticals that it works very well to do this and get really good references, so if we can show that MedHelp can use this in the healthcare space, we're gonna be able to use that, also push to the larger customers to show that it works very well and maybe get a bit more momentum on that. So we have a very large customer in the U.K., it's the NHS, and the NHS are still... They've actually now stopped their contact center project and are now looking to replace the technology with a different one. But these type of niche can actually push, I think, in that direction. There's also the retail space, where HelloFresh is, HelloFresh signed, it was a new contract in August, where HelloFresh decided to also go voice. That's also been quite slow in adoption, so therefore, if we take a smaller retailer, then we can probably push a bit more on that, too. We also have, a partner that's gonna be able to use this platform to sell to several smaller, not necessarily smaller, customers, but smaller engagements in the customers as well. So that's also something that's in pipeline. All right. And, how is the sales reorganization progressing? Do you get the benefits you were looking for, or is it too early to say at this point in time? We're definitely getting that. So I don't know, Fredrik, you also follow the pipeline discussions here. Maybe you can give a thumbs up if you would say that that's improved quite a lot, without- Yeah, no, no. But obviously- Yeah a closely tracked number, right? The pipeline development, and that's a totally different world from where we were in Q3, Q4, where it was sort of a bit on Friday afternoon, we would focus on pipeline, and the rest of it, we would focus on existing customers. Now it's a full focus. Okay, and, my, my last question. So, are you actively seeking to establish new partnerships in the upcoming months or quarters? Or, are you primary- is your primary focus on optimizing existing partnerships? And, like, how much support do they need from you, and how much can you handle with your current organization? So we are very focused, this quarter. We're gonna be very focused on Amazon, Microsoft, as technology partners or ecosystem partners, and then Tech Mahindra. So Tech Mahindra is gonna be the big focus for this quarter. So Tech Mahindra is, has a new CEO with a very, very strong vision to replace humans with technology, because he thinks that that's his way of winning, which I'm quite sure it is, because they are lagging in gross margin versus the other integrators, the large SI. So very much focused on them this quarter. Right. Thank you. Okay, any other questions, raise your hand. We have a question from Forbes. I am allowing your mic, and now you can unmute yourself. Good morning. Good morning. Great, thank you. Yes, I wanted to follow up on this, new segment that you talked about, at the lower price point, and how much we should read into that. I mean, is it a bit of a here-and-now thing to support the larger deals, or is this really a new segment that you're hoping to build on, the coming years? And also, a bit more, if you could quantify, like the ARR potential, the margin difference versus large customers, and so on. Yeah, so we estimate that these type of customers were gonna be generate about EUR 15,000 a month, with a EUR 4,000 cost. So that's sort of where we sit on those. So that's not really to build big ARR numbers, it is really to push more margin. However, it lays the foundation for potentially having partners selling to smaller customers. So there's a lot of small customers in the, like a country like Sweden, who would love to be able to answer the phone instead of pushing customers to chat and email and messaging. So, we wanna go there as well, but we're not quite there. We need to then reduce additionally, which we're not doing this quarter, but maybe, maybe towards the tail end of next year, of this year, we might be pushing also to make it even smaller solution from a cost standpoint. But, yeah, it's not, it's so far, it's not a focus on SMB, it's a focus on certain niches that provide benefits to the larger enterprise hunting still. So still, enterprise is still the, the main focus. And that's where the ARR buildup is gonna come. But also, Forbes, you of course know that the customers we sell this year don't have a big impact on our, our goals, our financial goals. They have a big impact on other goals, but not the financial goals. Yes, great. And then also on the media coverage that you're getting with awards and so forth, just wanting to hear, like, how that's converting for you guys, like, traction-wise. Is it leading to a lot of trials with new customers that want to try you out? Or like, what is the media coverage generating for Teneo? Well, it's difficult to measure just the media, but the revamp of the website and the media has generated, generates about 3-4 leads a week. And about half of those are really good, and about one of them actually progress into the pipeline. So it's large customers that come in into the web. So the media and the website have contributed to, if you today Google conversational IVR, if you're on the U.S. Google site, we will be the number one non-paid. The problem in our space is that there's a lot of paid ads first. So actually, the first sort of half page is actually paid, because that's a, it's a very lucrative market for Google to sell these. So the clicks are very expensive. But, we're looking now to see, should we maybe spend a bit more and maybe target to, let's say, a company that's in our pipeline? Should we then target also ads into there, to get more people engaged in that company, apart from the people we already talked to? So it's, we have a lot of attention now. We get a very good ranking on Google generically. The question is then, do we need to maybe, now that the market is red hot, also spend a bit more on the ads? But, yes, the media and the website, and it's really this revamped to Teneo.ai. Artificial Solutions, in all its pride and glory, is a very long name, and if you're gonna just type it in after reading it in a newspaper article, chance of making a mistake is actually quite high, so you can try it yourself. Type it quickly with that dash in the middle. So Teneo.ai has helped a lot, and of course, our website is a different message platform. All right, great. And then my final question is if you have any predictions this year for customer intake, big customers, that is- Yeah, I know. I know it's difficult, difficult to say, but anyways. We're still sticking, so we have the same pipeline. We were just hoping to kill them off quarter by quarter, but maybe now it's gonna be a bit more that they come in during Q2, Q3, Q4, than in Q1, but we're still expecting the same amount of new customers. So the pipeline is still there, we just need to close these out. So we have business people who want the benefit, and then we have technical people who have other priorities, let's put it that way. All right. Thank you. Okay. I don't see any more. Nope. I don't see any other questions. Yeah, I do see Kasper. Kasper, I am unmuting you, and now you can unmute yourself. Good morning, Kasper. Good morning. So, just a quick one for me on the new customer one. Do we have any numbers on how much revenue you expect to generate from that customers in the 2024? In 2024, so I would say a fully deployed such customer would be one of those SMB EUR 15,000 a month type customer. But in 2024, I think I don't know, what do you say, Fredrik? Maybe 60,000 in total, something like that. So new customers, Kasper, are not a big revenue generator. It's still the growth in existing- Still existing. is just the big... Yeah. Understood. Next, next year, they'll start generating more, but, the first year is always, always a bit slow in revenue terms. Do we have any idea of the total potential for this new customer? Is it more or less in line with the existing one you have, or is it better or worse? No, no. So, these smaller customers are gonna be a lot less revenue than, than the Microsoft, Swisscom, Telefónica type customers, since it's all driven by the number of calls. So, our hope is that this is gonna have a lot of impact on a customer like NHS and a customer like Medtronic, which are the really large ones in our portfolio. So, it's, it's very much that... I mean, MedHelp is a very strong tech company in the healthcare space, so if they can build solutions which we can then promote as references across larger entities, that's, that's very, very powerful for us. And of course, it contributes to our development. We're getting feedback on product features and so forth. Understood. But I, I think these SMB customers are gonna land in the EUR 15,000 space per month. So, ARRs in, you know, 180-type EUR 180,000-type ARRs. All right. Thank you. Okay, if there's no further questions, I will close the call. Available for any of you if you wanna talk more next week. I'm actually heading out to a training now, so Monday, I'm back in shape, so you can just ping me, and I'll catch you all then. So thank you very much. Stellar quarter, very hot market, and some very interesting new product developments as well. So really, really good. Really happy with the team, really happy with the delivery. 12, 11 out of 12 KPIs fully delivered. The one, Kasper, as you're alluding to, getting some of those larger customers in, we're still working on them, but this quarter, we're gonna put a lot of focus on that. Thank you all and see you all. Bye. Thank you.