# Nobody puts Gaussian splats in tenders yet – Arek Szadkowski, Esri

- Show: 2D Is Against My Religion (2DIAMR), host Michal Gula
- Guests: Arek Szadkowski, Global Lead, ArcGIS Reality, Esri
- Published: 12 Oct 2026 · 23 min · Expo & conference podcast · recorded LIVE
- Topics: Gaussian Splatting, Reality Capture, Digital Twins, Spatial AI, Photogrammetry
- Web page: https://www.2diamr.com/watch/gaussian-splats-tenders-arek-szadkowski-esri/
- YouTube: https://www.youtube.com/watch?v=9G1K38mDAQ8
- Spotify: https://open.spotify.com/episode/0lIDSScx9yOHsjf6b4bfMi
- Apple Podcasts: https://podcasts.apple.com/us/podcast/nobody-puts-gaussian-splats-in-tenders-yet-arek-szadkowski/id1878399775?i=1000795967663

## Summary

Recorded live at INTERGEO 2026, Arek Szadkowski, who leads ArcGIS Reality globally at Esri, tells Michal Gula and Tomáš Barnáš why Gaussian splats were a no-brainer for Esri, how splats sit next to meshes, DSMs and point clouds from the same alignment, and who actually pays for them – plus AI and semantic search in splats, as-is versus as-designed, Esri’s “living digital twins” and the new Ground Splats from 360 mobile mapping cameras.

## Key ideas

- Per Arek, Gaussian splats are just another reconstruction from the same structure-from-motion alignment, so in ArcGIS Reality they are one more export next to true orthos, DSMs, meshes and point clouds.
- Arek has seen almost no mainstream tenders that specify Gaussian splats yet: early adopters deliver them as an add-on extra on top of the products the client ordered (as of October 2026).
- In Arek’s view, AI and semantic search in splats – asking a language model to find and map assets – will change how mapping is done within the next two to three years.
- The use case with the biggest return Arek sees in reality mapping is showing as-is versus as-designed: BIM and reality in one interface before anything is built.
- Esri imports splats from other vendors and offers SDKs and APIs for most programming languages – per Arek, the idea that Esri is a closed environment is the biggest misconception.

## Questions answered

### Does Esri ArcGIS support Gaussian splatting?

Yes – per Arek Szadkowski, ArcGIS Reality exports Gaussian splats from the same alignment as true orthos, DSMs, meshes and point clouds, and Esri is adding imports of splats made in third-party software. (discussed at 8:37)

### Are Gaussian splats included in surveying and mapping tenders?

Not yet in the mainstream, according to Arek Szadkowski (Esri): early adopters deliver splats as an add-on extra, and Arek had seen only one or two tenders that specify them (as of October 2026). (discussed at 10:57)

### How will AI change mapping with Gaussian splats?

Arek Szadkowski expects semantic search in splats – asking a language model to segment, map and find assets – to shift how mapping is done within two to three years; Esri is experimenting with it. (discussed at 7:30)

### What are Esri Ground Splats?

Per Arek Szadkowski, Ground Splats are splats from high-end 360 mobile mapping cameras, computed together with LiDAR data so the geometry comes from the laser, announced at INTERGEO 2026. (discussed at 20:12)

### Is Esri ArcGIS a closed system?

No, says Arek Szadkowski: Esri provides SDKs and APIs for almost every programming language, and service providers and system integrators can integrate with ArcGIS. (discussed at 22:51)

## Quotes

> “I have not seen yet, maybe I've seen one or two, but I have not seen a mainstream yet tenders specification that includes Gaussian splats.” – Arek Szadkowski (11:31)
> “Within the next two to three years we will see a huge shift in the way the mapping is done in the industry.” – Arek Szadkowski (7:34)
> “People think that we are a closed environment, and we are absolutely not.” – Arek Szadkowski (22:51)

## Chapters

- 0:00 What Arek Szadkowski does at Esri
- 2:00 Revenue goals, not followers
- 3:00 Why Gaussian splats were a no-brainer
- 5:13 Why GIS users want reality capture
- 7:10 AI and semantic search in splats
- 8:24 Splats inside ArcGIS Reality
- 9:54 Importing splats from other vendors
- 10:28 Who actually pays for Gaussian splats?
- 12:23 Railways, power lines and manholes
- 13:43 As-is versus as-designed
- 15:31 What works in his LinkedIn videos
- 17:37 Digital twins and 'mirror worlds'
- 20:08 Ground Splats from 360 cameras
- 21:48 The closed-system misconception
- 23:21 Wrap-up

## Transcript

_Automatic transcription (ElevenLabs Scribe), lightly edited; times follow the audio._

**Michal Gula** (0:00): Arkadiusz Szadkowski is, is our guest from, Esri. Welcome here.
**Arek Szadkowski** (0:04): Thank you, Michal. Thank you, Tomáš.
**Michal Gula** (0:06): can, can you shortly tell us, like, what you do at Esri? And, and then try to say it like, I don't know, like you are trying to explain it to my wife, for example. She, she's out of the 3D industry.
**Arek Szadkowski** (0:16): Okay. So you've seen me presenting, so I will repeat this. This what I als- very often say on the, on the presentations, like we were born with two eyes, right? And each of our eyes as... act as a camera, and we have a very powerful computer, which is our brain, right? And, Esri recognized that we want to bring the same kind of capability that our eyes and brain are doing with the reality, with the mapping of the reality into the software and GIS customers and users. So Esri invested a lot into the imagery software portfolio and, and the technology, and we have our own photogrammetric engine that is able to compute multiple images into the photorealistic 3D and reconstruct it into the 2D and 3D layers, like meshes, splats, DSMs or digital surface models, true ortho photos, even point cloud, photogrammetric point cloud. So, and my responsibility is to demystify this technology for our Esri distributor network, because we, we sell and work in every country through the distributor outside the US, help them understand this, how to go to market with this, how to, how to position it, how to win the first customer, how to develop the, develop the second and third customer. So I work across the different sectors and the verticals with the distributors around the world, helping them understand the potential in the capturing reality and, and taking it further also into the reality mapping and analysis and visualizations with it. So it's a mix of the business development sales, but not direct sales, because I sell with the distributors or with the partners, and, and market enablement, but in awareness and attention to, to the potential of this technology.
**Michal Gula** (2:01): Well, you are very busy and active on, on, LinkedIn es- especially, so, it might be also very difficult to set you with some KPIs, right? From, from your-
**Arek Szadkowski** (2:12): Yeah
**Michal Gula** (2:12): management. So how, how they rate you whether you are successful or not?
**Arek Szadkowski** (2:16): Of course.
**Michal Gula** (2:16): I, I guess not by influencer... not by the number of followers.
**Arek Szadkowski** (2:20): No, no. This is, this is just an add-on. Yeah, of course, we have a revenue, revenue numbers that we are able to track, you know, and when we s- when soft- Es- Esri's software is sold through the distributor, there is a part of the fee that is... we call Net Esri, that goes to Esri, right? So I, I, I am, I am tracking the revenue numbers on the reality mapping portfolio across the entire globe, right? And so in my success factors of the, of the company, we have some revenue goals set by, by... Of course, this is, this is part of the business realm. We all have to pay b- the bills, right? And we all have to finance also the development and to push this technology further. So absolutely, you know, as a sales manager, you, you have the KPI.
**Michal Gula** (3:01): Esri introduced 3D Gaussian splats, like, before-
**Arek Szadkowski** (3:05): It was called-
**Michal Gula** (3:06): X-Mass last year, or?
**Arek Szadkowski** (3:07): Yes, yes. Yeah.
**Michal Gula** (3:08): Some- some- some-
**Arek Szadkowski** (3:09): Yeah
**Michal Gula** (3:09): some- something like that, right?
**Arek Szadkowski** (3:10): It was, it was... It was a normal cycle for us, is we either have a release in spring or fall. So it was, I think it was end of October, beginning of November-
**Michal Gula** (3:18): Yeah, yeah
**Arek Szadkowski** (3:18): last year was the first release, I suppose.
**Michal Gula** (3:20): I m- I mean, it was one of the first, like, behemoths of our industry that actually used it commercially-
**Arek Szadkowski** (3:28): Yes, yes
**Michal Gula** (3:29): in the- in their workflow or in their pipeline, and my question is, like, what was your thought process, within the, the company? Like, were you, like, 100% that this is, this is the right move? The Gaussian splats are here, they will be here, we need to use them, or was it a bet?
**Arek Szadkowski** (3:48): So, you know, I work in GBD, so my work is... Of course, I... Maybe I will answer this way. So from my perspective, it was no-brainer for us to go towards the Gaussian splats. I remember very clearly that I contacted our R&D center and product team even two or three years ago when this was at the stage of everybody was finding some first papers. People were experimenting. It was like nobody even yet had the, the production ready, and I was hinting them like, "Hey, this, this is, the same... It's, it's just a- another alternative, another re- another export or another reconstruction, from, the same structure from motion, the technology that, and the principles that we are operating with the reality and meshing." And, so for me, personally, it was no-brainer. For Esri as a product and the organization and so on, of course, there is a process where team needs to see if we really want to pursue this, because there's a lot of ideas out there on the market, and before you assign, resources, and y- when Esri moves and decides to do something, we assign a lot of resources because we want to, we want to do this the best way and, and offer the top quality for our customers. So it took a little bit a while, but, once the, the decision was there, we were within the... I think within the less than a year, the team managed to introduce this from the moment that we decided that this is, what we want to do, and, then, then when was the, this first release.
**Michal Gula** (5:12): And how-
**Tomáš Barnáš** (5:12): This is very- important for the industry. Like if a big company-
**Arek Szadkowski** (5:16): Yeah
**Tomáš Barnáš** (5:16): as Esri is, is picking up some new technology, let's call it like this-
**Arek Szadkowski** (5:20): Mm
**Tomáš Barnáš** (5:20): if it was about Gaussian splats, and the same is happening here in, at INTERGEO when you are seeing that they are focused more and more on reality capturing as well.
**Arek Szadkowski** (5:28): Yeah.
**Tomáš Barnáš** (5:28): Is it something what you would say could be beneficial for you as a company attending the conference where you see that, okay, also reali- reality capturing is more and more, recognized and accepted, or is it for you, like, the same as it was more or less focused on, on, survey and...
**Arek Szadkowski** (5:46): No, it... The, the, this reality capture world is very important for Esri because we see that more and more GIS users, they want to have more data, higher fidelity, higher quality data, and they also, see and recognize the potential of the temporal resolution, so the higher frequency rate, right? So, the demand is growing towards higher resolution and, towards a higher refresh rate. And, y- and this creates with parallel this whole AI revolution and the development where you can automate some of the change detection analysis that we... that our software is able to do. Suddenly you open a new use case opportunities, a new return on investment. But, yeah, so it... from, from Esri perspective, we are really committed to invest and continue invest in this market and, and create the value and create more. I think what we can offer also to the market is that we, we are representing a quite big customer, installation base, right? That today is not... maybe not yet fully aware of the potential of the reality, reality capture and reality mapping data, right? So my dream and my mission is to grow... it's called, like, grow... let's grow the pie together. Like, let's try to nurture the market so the customers will be more eager to order more of the, this type of data.
**Tomáš Barnáš** (7:10): As you grabbed the, Gaussian splats pretty quickly when they became-
**Arek Szadkowski** (7:14): Yeah
**Tomáš Barnáš** (7:14): on the market, how do you see the integration of AI and how, how you can, for example, like convince your clients to trust in it? Because that's a-
**Arek Szadkowski** (7:22): Yeah
**Tomáš Barnáš** (7:22): push.
**Arek Szadkowski** (7:23): This is a very good question, and I need to be careful how, what I say-... because a lot of people is looking into this right now, but I can tell you that we are experimenting with AI on splats, and I can tell you that I think within the next two to three years we will see a huge shift in the way the mapping is done in the industry. Today, the mapping is done the way that you load in the point cloud or meshes or splats, and you do the manual, manual extraction very often or some semi-automated, then you attribute it and so on. And splats, and also meshes, but splats spe-specifically introduce the possibility to query the, the reality, this virtual reality with the semantic searches. So think of the interaction where there is a large, large language model that, that you can communicate, have a dialogue with, and it's automatically for you segmenting, mapping, and, and finding, objects or assets that you are interested in. I, I really believe that this will be, this will be the next leap in the, in the way we are operating in reality.
**Tomáš Barnáš** (8:25): Is the Gaussian splatting, part of the processing in Esri? Because you mentioned you have a photogrammetry software.
**Arek Szadkowski** (8:32): Yes, yes.
**Tomáš Barnáš** (8:32): Your own. So, so the processing of 3D, 3D Gaussian splatting is also included, or?
**Arek Szadkowski** (8:37): Yes. Yes. So, so let me explain. So, at Esri, of course, we have an ArcGIS Pro as a platform, but we have an ArcGIS Reality, which is our software that is consuming any type of imagery from satellite, aerial, and drone. Of course, splats are only for... available for or makes sense for, aerial and drone. And very soon we will also, introduce this ground as a, as a, as a public, availability. And you bring in the... your imagery, you're, you run the alignment process. You can bring your control points, like, to absolute, georeference, your project. And the moment you do all of this, the user can basically check the boxes, like what products I want to export, and he can choose from... to export all, so true ortho DSM meshes, and Gaussian splats, or he can export only Gaussian splats or maybe just point clouds for that point cloud. So Gaussian splats were added as a complementary layer to our ArcGIS Reality, software to all our cap- all our applications under this umbrella, and, yeah. And it's, it's a part of the same alignment pin, part of the same georeferencing is... And it's an complementary additional layer that is working perfectly with all the other layers. It has some pros and cons, as you know. Right. So, yes. And also in addition to this, we are right now developing and, imports for the Gaussians made with the third party softwares. We are not closed only to our. That's very a common misconception that you can only do splats with the S- in Esri, you can work only with splats from Esri. No. You can import, you can import, other, other splats from other vendors as well.
**Tomáš Barnáš** (10:18): So you can import them, and then you link them with your georeferencing to get-
**Arek Szadkowski** (10:22): For example
**Tomáš Barnáš** (10:22): the same scale.
**Arek Szadkowski** (10:22): For example, or you can link this with the existing GIS data, that the user has.
**Tomáš Barnáš** (10:28): Yeah, I think this is very important that you are able to layer it and, like, get the same scale. we also, whenever we talk about it and, you try to convince people that they can trust in it, but many times come a question like, "How do you earn on it? Who is ordering Gaussians? Who is paying for it?" And, my opinion on that is that, it's about layers-
**Arek Szadkowski** (10:51): Yes
**Tomáš Barnáš** (10:51): what you just said.
**Arek Szadkowski** (10:51): Yeah.
**Tomáš Barnáš** (10:51): So it's not an order of Gaussian splat. It's using the benefits.
**Arek Szadkowski** (10:55): Yes.
**Tomáš Barnáš** (10:55): So how do you see that?
**Arek Szadkowski** (10:57): So with every new technology like this, there is always this, early adopter stage. So as you mentioned, we released this this last year. So we see right now some of the first customers, delivering the... not, not... most of the first customer early adopters deliver it as an add-on extra to on top of their other pro- other products that they, they, they were ordered. It will take some time before the end users like public administration, transportation, so on, will start trusting in this layer and putting this into the procurement process and the tenders. I, I have not seen yet, maybe I've seen one or two, but I have not seen, like, a mainstream yet tenders specification that includes Gaussian splats. So we are on the stage where, a lot of our customers, is exporting Gaussians as an add-on extra, delivering this on top of the other projects just to show the, their unique extra value proposition, and they get a lot of positive feedback from their end users that, "Oh, oh, I didn't know that this is so good." So we are now in the stage where we are planting seeds for the next year, spring and the summer, which will hopefully result that we will see more and more, not only the private sector, but public sector ordering splats as a, as a deliverable. But we, as I said, we are in the early stage of the market, the, the development and, and nurturing the market with this technology.
**Tomáš Barnáš** (12:23): Yeah, exactly. There are a few fields where you could immediately grab it and say, like, from many tenders I saw, like, a digitization of the surrounding of ra-railways-
**Arek Szadkowski** (12:33): Yes
**Tomáš Barnáš** (12:34): where you need to see how the plants and trees are growing.
**Arek Szadkowski** (12:37): Yes.
**Tomáš Barnáš** (12:38): And, and this is for me, just, like, one of the things where you can say, like, "Splats can do it the best."
**Arek Szadkowski** (12:42): Yeah.
**Tomáš Barnáš** (12:42): Because like everything else-
**Arek Szadkowski** (12:44): Yeah
**Tomáš Barnáš** (12:44): these tiny branches-
**Arek Szadkowski** (12:45): Yeah
**Tomáš Barnáš** (12:45): they will be lost.
**Arek Szadkowski** (12:47): Of course. So, you mentioned, the urban planning, but also we see attraction in infrastructure. so, we have, we hear also the power line grid companies are seeing some potential in the splats. we have a very good case study just released from the US from one of our customer and partner, ES2, so I'll say hi to Andrew here if you watch this. Very good if you look up the Gaussian splats and, it's, it was made together in cooperation with Ringtra. they delivered, splats to the, state and local government who was doing the mapping of all the, the manholes and underground infrastructure, because they want to also orient where is their old utility f- utility information on the outside. So splats allow them to see in the very high detail of all the, you know, you know, the ma-manholes on the, on the, and the drainage system in the, in the city of Gretna. So, yeah.
**Tomáš Barnáš** (13:44): A-as, as we... This extremely complex, s-system or software offers- the software, would you be able to name, like, most wanted feature, which is, like, most commonly used? Because, like, I have it in front of my eyes, like, whatever flood detection, wind, and...
**Arek Szadkowski** (14:01): Yeah. so for the whole GIS, it's really hard to say. But I think that, the, you know, we are... For the whole G-GIS, it will be really difficult to say because it's, it's different for each of the sector. From the reality, reality mapping perspective, so the r- r- the reality mapping or reality capture perspective, where I see the biggest return on investment is, and the customers, like, the- they, they really use this actively and the most popular is the showing the as is versus as designed.
**Tomáš Barnáš** (14:35): Okay.
**Arek Szadkowski** (14:36): So where you start to put the BIM world with the reality world together in one interface, and people are able to see before it's built and see what will be the consequences for the environment, for the, the quality of life, for the, you know, even for the skyline of the city. So because this... W-When they see the reality models, they see immediately, "Oh, this is actually how the world looks like outside the window," right? And then they can imagine immediately, like, if we place their, the design files on top of it, they can immediately imagine how this will look like once it's built. And we have a lot of s- situations around the world where wrong decisions on the planning phase, cost the people a lot of money or destroyed, beautiful cities because of the wrong, wrong plan- wrong planning approach. So I think that would be the, the biggest use case.
**Tomáš Barnáš** (15:32): This was the question, regarding your actual clients, but, you're posting almost like every day, on LinkedIn, and your videos are very visuals, very, very, very-
**Arek Szadkowski** (15:42): Yes
**Tomáš Barnáš** (15:42): sexy in, in terms of our industry.
**Arek Szadkowski** (15:44): Thank you.
**Tomáš Barnáš** (15:45): And you're getting a lot of traction and, a lot of views. can you tell from this perspective, like, which type of the video-
**Arek Szadkowski** (15:52): Okay
**Tomáš Barnáš** (15:53): which type of the feature is-
**Arek Szadkowski** (15:54): Yes
**Tomáš Barnáš** (15:54): like, most interesting for the general public?
**Arek Szadkowski** (15:57): Okay. So first of all, the, a lot of content that I post, I want to say thank you to a lot of our skilled solution engineers and distributors that are sharing a lot of their use cases and the data. Not everything what you see is made by me. I made the end video, but very often I'm, I'm reusing some of the content by, made by others, and they, they fully deserve the credit here. And, um-
**Tomáš Barnáš** (16:17): I, I-
**Arek Szadkowski** (16:17): Yeah
**Tomáš Barnáš** (16:17): sorry, I was hoping because
**Arek Szadkowski** (16:19): Yeah.
**Tomáš Barnáš** (16:20): I, I, I thought that you have, like, like, 48 hours in a day-
**Arek Szadkowski** (16:23): No, no, no, no
**Tomáš Barnáš** (16:24): for production of the videos.
**Arek Szadkowski** (16:25): No. But, but, I'm, I'm fortunate enough to, i-in this situation to have access to all of the... Because my responsibility is to find or create these use cases and then create a, a relationship where we can, we can showcase this, right? And, and this is one of the channels and the way I'm, I'm trying to do this. But to answer your question, people are right now s- very interested with the world of the digital twin because of the couple of the things. They want to understand what digital twin is, how to, how to start using them, and, and, and implementing in their, in their business, right? It's a very, very broad term, you know that very well, and every time when I showcase a video that is either a utility twin or planning twin or infrastructure twin, and I'm going deeper into the explanation, what's behind it and how to do this, it's getting a lot of traction.
**Tomáš Barnáš** (17:19): Okay.
**Arek Szadkowski** (17:19): My impression, there is a lot of demand on the market for showcasing a sexy technology, as you call it, but also adding the educational component, how to. And, and also, another com- another story is what, what does it mean for me, and what is the possible return on investment?
**Tomáš Barnáš** (17:38): How, how does the digital twin fit into GIS?
**Arek Szadkowski** (17:43): So this is good, another good question. So at Esri, when we first... I can maybe refer to something that I discovered little bit by accident. if you google... Because I, I know that there is a PDF available online. If you google ArcGIS Imagery, there is a entire book wrote by my colleagues even before I joined Esri. There is a chapter six, and the book was published in 2008, I think, or '9, so many, many years ago, and someone then decided to write a chapter called Creating Mirroring, Mirror Worlds. And when you take the digital twin, a query in Google Trends, when it actually started to be fancy, it was three or four years later. So we at Esri, we understood, and not me, I can't take the credit for it, but someone who wrote this entire chapter, and you see already there, that there will be demand and need to create these mirror worlds. At this time, we ca- that was the best term that we came with. And then somewhere down the road, the digital twin term came into our industry, right? It was a known term for an engineering and heavy engineering industry, but it came into our industry. So we had to position our messaging and our, our, our marketing to this term. And what we like to say is that Esri and the ArcGIS is helping to build living digital twins. For us, this, the word living is very important. Where the, under the word living, we want to say that this shall not be a static model. So to, emphasize the, the temporal resolution, the real-time data, the component of the feeds or IoT sensors and so on. We really believe that, GIS and ArcGIS is a platform where you can deploy and manage your, and integrate digital twins, because you very often are, a lot of customers is already using it as a system of record, and we are providing a lot of possibilities to connect or build system of insights with our or third-party technologies connected to this, to this platform. So for us, it's a continuity of our GIS story that, we knew already even before it became mainstream. We knew that it's, it's coming, and it's,... Just look, look it up. It's,... For me, it was like a proof that, okay, this is a natural direction that we already knew this 15 years ago, so.
**Michal Gula** (20:09): What, what's next on your roadmap?
**Arek Szadkowski** (20:11): So we will, we just announced, at the INTERGEO and showcased this at our booth right now, the ground splats. So-
**Michal Gula** (20:20): What does that mean?
**Arek Szadkowski** (20:20): That means that you are able, you will be able to, import, mobile mapping imagery, so from 360 cameras like, Ladybug or Mosaic and, and others, hardware providers. Uh-
**Michal Gula** (20:35): So, so not the consumer level, but like-
**Arek Szadkowski** (20:37): Yes. Yes. Yes. We, we are starting with the high-end cameras because we are, yeah, we want to have this on the survey grade or mapping, at least for sure mapping grade, but try to tackle also the survey grade quality- of the splats. we are, this ground splats right now in this release, they are LiDAR driven. We call it LiDAR driven. It means that the computation is done together with the laser data, so the geometric quality of the geometry, is dependent on the laser and takes advantage of the active measurements, which is more accurate than the, the image reconstruction. But you have the visual, and the continuity and the visual impression of the splats. So that means that we are going from the satellite aerial drone now to the ground level, but on the high-end, cameras. And of course, the natural next direction will be going to the consumer-based, cameras, so, at some point. yeah, and this is consistent with this what we discussed, that we see the demand for more data, and we see potential for, more use cases with the higher fidelity and the higher resolution of the data and c- going closer to the, closer to the, this, these type of sensors.
**Michal Gula** (21:48): Perfect. What would be your call to action for, a, a- as last words?
**Arek Szadkowski** (21:52): Yeah. I would say that, if you, if you work with the imagery or reality capture, don't be afraid to look into the Esri. We are, we are really interested to partner with this community, and I believe we have a lot to offer as a partner or as, as, as a provider. And what we are really good at is, right now, we're... Maybe this way. We are really motivated to help this community get connected with the GIS world. Of course, it has to be a win-win partnership model. But, all you have to do is to reach out to us or to the local distributor and see what, what kind of portfolio we have. And, and, if you are a system integrator or service provider, look also into our developer, toolcal- toolkit because my, after three years now with Esri, I see that the biggest misconception and misunderstanding is that, people think that we are a closed environment, and we are absolutely not. We are have a, we have really a lot of integration possibility. If someone wants to integrate, they can integrate and can find a way to integrate with us.
**Michal Gula** (23:01): So you're, like, half open, right? Be- because you are not open source-
**Arek Szadkowski** (23:05): No. No
**Michal Gula** (23:05): so that anybody can use it.
**Arek Szadkowski** (23:06): Yes.
**Michal Gula** (23:06): But if they ask, you generally allow them to.
**Arek Szadkowski** (23:10): Yeah. We have SDK and API for almost every, programming language that is out there. So if you, if you really look into it, there is absolutely no problem to integrate with us.
**Michal Gula** (23:19): Okay. Amazing.
**Arek Szadkowski** (23:21): Yeah.
**Michal Gula** (23:21): Perfect. Well, thank you very much for doing this.
**Arek Szadkowski** (23:22): Thank you. Thanks so much.
**Michal Gula** (23:22): Yeah, thank you very much.
**Arek Szadkowski** (23:23): Thanks, Michal. And, uh-
**Michal Gula** (23:24): Have a great show
**Arek Szadkowski** (23:24): thanks again for, for invitation and for a great conference.
**Michal Gula** (23:27): Yeah. Thank you.
**Arek Szadkowski** (23:28): Thank you