 Thank you everyone for coming today My name is Daniel Chamorro or Chamorro. It's alright and my role in Sintu is to manage the channels we have a growing network of business partners in the world that Use our platform for collaborating Sharing distributing and doing different workflows for laser scanning data. Okay the role today and the discussion is going to be very briefly to give you some insights about How we are helping customers in the specific workflow for multi modality. Okay Sintu is a relatively young company. I would say we started in 2013 Our technology is a very unique technology that enables us to convert point clouds to a mesh and Stream it from the web as a company we started in 2018 and currently our platform is we call it a visual twin platform because we have specific Technologies to help you use the laser scan data that you take either from a terrestrial scanner from a mobile scanner and most recently even from a drone To be able to link it directly to a digital twin. Okay, so we have a new feature that I will explain towards the end today It's quite short, but I'll make the best to give you the information now Sintu is Is become quite successful in two main industries what we call the industry 4.0 So here we're talking about the automotive sector, right? manufacturing different Industries that require laser scanning. Okay, and when we call about when we talk about a scan We're always talking about laser scanning just to clarify that point The next one is the AC segment. So we are almost 50 50 split between these two industries and We've noticed that the laser scanning is only increasing as we need to improve our efficiency We need a higher switch perhaps to other ways of working other kinds of factories and so on and this is where laser scanning is The only technology that can facilitate this kind of information Okay so when we talk about the The challenge that it It implies to work with laser scanning I think most of you already know when you're using a scanner, especially a terrestrial scanner Which are the ones that bring you more accurate data, right? they represent the problem into how you manage data if you're working with Whether it's 500 or a thousand scan positions or even more some of our customers work with 50,000 or 100,000 scan positions then it becomes very problematic to Manage this data But again where we are facing this challenge and how we are addressing it is with the reality capture, right? Reality capture has several layers, right? There is the geometry that you get from the laser scanners and then there is the Visual information that you get for cap from cameras, but again, we have a mismatch, right? In the virtual world, which often we think it's a it's a virtual model, right? So when we look at the overall What we call the the reality capture landscape. There are several technologies that have come You can see on the on the right which are the main let's say brands that produce terrestrial scanners Even mobile scanners or even a drone systems, right? And we can see also on the left some other technologies which are not laser scanning To be more specific. There are more ways of capturing 2d information, right with 360 images cameras and so on but they're still part of reality because you cannot get The full reality just with one technology, right? You have visual information that comes from Cameras or videos, right? And then you have the accurate geometry of our world that comes from laser scanning So as we see different kinds of technologies merging the one that Still requires the most Challenge for that. I mean the one that has a lot of challenges for customers is how they manage the data How they distribute the data and as more laser scanning increases? We can see several ways of working with laser scan data, right? Laser scan data is still the most accurate way of capturing the geometry of a real world now One of the one of the changes that when you have seen and you probably see around if you start walking around You will see a lot of different systems You will see slam systems. You will see terrestrial systems, right? And you will probably notice that even the drones now have Not just cameras, but they have a LiDAR sensor, right? so what happens is that Everyone is starting to finally appreciate the the the value that LiDAR comes but the The capture is still very problematic You have several ways of capturing data and this becomes even more problematic when you are trying to Unify all this data Now what's into what we do is that we help you solve this problem with our core technology So our core technology is technology developed by Cintu which I mentioned started in 2013 We take your point cloud data from your scanner once it's registered, right and Whether it's coming from a terrestrial scanner, whether it's coming from a slam system and most recently also from drones and Through our technology we convert it into a mesh and this is a very unique technology And it's very key to us helping you transform this data In a format that is very cloud compatible Once is in Cintu as you see is full geometry. So you no longer have the the challenges that You may face when you're trying to interpret data with a point cloud if you work with a point cloud You probably know how to get around but for new for new users This kind of navigation It's much easier for you to either measure to do analysis simulations and so on not only that But when we are pushing the data into the cloud Automatically as we are uploading it is it becomes 10 to 20 times smaller So if you think about a project that could be 50 terabytes or less But any size the data will already be reduced that much When we work with the 3d data, there's always several layers as I mentioned several ways of Working with a scan data, you know that terrestrial scanners have Images they take images in most cases So when you push your data into Cintu we will preserve the point cloud This is a as I mentioned a technology of Cintu so we preserve the accuracy of your source data You don't have to do any kind of decimation when you push it into Cintu, but as well When you go into Working with 3d models, we also allow you to work with 3d models You're able to upload models from your computer whether it's a IFC or DWG We have also more formats if you connect your laser scan project to auto this construction cloud You can pull various kinds of 3d models into your project. All right, and Then we have several tools the scan versus bin becomes quite interesting for two applications If you push a model into Cintu You are able to do a quality control of your point cloud And I'm sorry of your model with the point cloud because you're able to compare what are the differences? between the model and the reality, right your model is not Always the most accurate version of reality. It's it's always the the point cloud data, right? so the best way to Control your point cloud your your models is with your point cloud data, and we make it very easy for you through this tool Then as you see here on the bottom left, we have another way of displaying your data. You can combine at 2d 3d with 360 images and so on and then the traditional view which we call 2d panoramic. That's a way to visualize yours your Stations typical to to what you wouldn't be familiar to do navigate and recap, right? The last one which we are announcing in at intergeal is a new feature called asset tagging now This is a feature that we have some of our large industrial customers working on That because the data in Sintu is already mesh meaning it's already a digital surface you have the capability to Use our AI technology that has been trained on different assets be able to geolocate be able to Geo reference and then connect those assets to a digital twin You know that there are several digital twin platforms already by other vendors So some of our very large customers have said what's the point of modeling if I already have the real geometry? I really I already have my assets. I want to just connect these assets to my digital twin So that's one workflow that we have available with our asset tagging and display feature now to highlight the main challenge that we are sorting and this is something that I wanted to to perhaps get some of your Some of you to think about right when you're working with a laser scanner. It doesn't matter Really where which vendor is it right whether it's From a terrestrial scanner whether it's from a mobile system You have several ways to share the your data. You can share it via Dropbox. You can share it with SharePoint, right? You could share it with chat GPT Asking chat GPT to create poetry integrated into your viewer anyone can do that now, okay? Anyone can integrate Pottery into their web-based solution and create a viewer. That's really something that's already been done, right? But when we talk about being able to leverage the power of the cloud and be able to have all your Data and point cloud data at the resolution of your scanner You need a technology that enables you to actually work with the data and also to distribute So what we've done and what's very unique to send to is that we enable you to work With unlimited users allowing you to distribute your data users from other locations can download the data can edit the data can crop the data downloaded into a mesh downloaded to a point cloud, which is something that our technology allows us to do and Enables the industry to finally solve the problem that we all have from large projects that experience difficulties in communication through various problems that we have in workflows, right? one point that is also important to keep in mind when you're storing your data, especially as Data becomes a currency and its data is always under attack once it's in the cloud You want to always question? Where is the data who has access to the data? This should be a question that you should ask yourself when you give the point cloud data to your customer Who has access to the data who can manipulate it who can maybe corrupt it, right? It's a it's a challenge you should be concerned about the the serious implications of your of data loss and When you have data in the cloud it becomes much more secure That's something I think we all can agree on but one thing is important to know is where is it located? Is it located out of Europe? Is it going somewhere else is someone taking ownership of the data? So being a European company We're very much aware of the importance of data being always located at the country of each of our users Once you create a project you can always choose whether your data is going to be hosted in Amazon local service in Germany Austria Switzerland US wherever you want it to be located and we can also Provide you with whatever security requirements that you may have but additionally to that we are SOC to type 2 certified, which is a very High-security audit that we have to go every year to ensure that your data and our platform is secure But again one point I wanted to highlight is this capability to have your data Centrally in one place secure, but not just stored as if you would store it when it's in some kind of file-sharing Platform but actually be able to create deliverables from it one point that I wanted to finish and I wanted to Give you a very short introduction because it's a very new product for us And we also would like to get ideas from you any of you that use laser scanning Devices or that have projects with point clouds. Please come to our booth We are right behind the top con booth right here But it would be really interesting to get your feedback on this new feature that we just launched It's called asset tagging and display as I mentioned at the beginning what we are doing here is very unique We are not tagging the the model. We're not doing any kind of Classification, but what we're doing is that through last two years We've created a way of automatically with artificial intelligence be able to Geolocate and geoclassify assets in your point cloud that is has been meshed in Sintu and this enables you To work in a I would say a catalyst way in which you no longer need to model everything But because you have the geometry you can just tag the assets from your customer or your own assets And then connect those assets to other digital twin platforms other platforms as well like ERP platforms Facility management management platforms and so on It's a much smarter way of working with data as customers realize that the most accurate source of truth are actually point clouds, right? Lastly on the bottom you have a way to export the data This is something that is very useful If you are trying to speed up your scan to beam workflows, and you want to identify Quickly, I want to be able to model specific components in my point cloud and I want to identify them faster I could quickly find these specific objects Export them either as a point cloud or export them as a mesh So with that being said I wanted to welcome you to our booth We're not too far away from here. Just follow the straight line over there And if there are any questions, I'll be happy to answer them