Generative AI for Service Organizations: Revolutionizing Processes with Innovative Technology — Founder Interview

Juan Diego Parra Castillo
2 days ago
23 min read

This blog post first appeared first on old medium publication (https://medium.com/startuprad-io), and was moved to this blog with the relaunch of our website in summer 2024.

This article is part of our coverage of Startuprad.io Knowledge Graph: The DACH Startup Ecosystem.

Executive Summary

This blog post first appeared first on old medium publication (https://medium.

In this episode, our guest is Fabian Peltzl, co-founder of KNOWRON.

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Generative AI for Service Organizations: Revolutionizing Processes with Innovative Technology — Founder Interview Startuprad.io brings you independent coverage of the key developments shaping the startup and venture capital landscape across Germany, Austria, and Switzerland.

This blog post first appeared first on old medium publication (https://medium.com/startuprad-io), and was moved to this blog with the relaunch of our website in summer 2024.

Management Summary

In this episode, our guest is Fabian Peltzl, co-founder of KNOWRON. He is here to discuss the importance of augmenting blue-collar workers in the software industry, which is primarily focused on white-collar workers. KNOWRON aims to bridge this gap by providing generative AI technology to assist service organizations and technicians. They emphasize the underdeveloped software space for blue-collar workers and highlight the potential market size including large industries like logistics, machine building, engineering, and services. The team shares their experiences working with European languages and their plans for expansion. They also discuss the transformative power of NLP advancements and their mission to revolutionize enterprise search and customer support and what the co-founders learned during their studies at Stanford and MIT.

The Importance of Augmenting Blue-Collar Workers: “And really those blue-collar workers, right? Because white collar, when it comes to, I don’t know, HR management, procurement, stuff like that, I think there’s a lot of yeah, that’s normally the first thing people think about kind of from a well-educated background. Exactly. And this is just a huge gap that we saw. And if you think about it like Worldwide, I think 80% of the whole population qualifies as blue-collar. And that’s definitely something that we tend to forget. However, the software space, if you compare to the white color software space, is super underdeveloped.” — Fabian Pelzl — Co-Founder KNOWRON

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The Power of NLP : “You could already see all the trends that if you add more data if you improve the algorithms as well that the performance will improve obviously as well.” — Fabian Pelzl — Co-Founder KNOWRON

Key Topics Covered

Topics Covered:- The need for augmenting blue-collar workers in the software industry- Underdeveloped software space for blue-collar workers compared to white-collar workers- Potential market size with 80% of the global population being blue-collar- Current focus on scaling and product development- Language requirements for manuals and advantages of working with any type of language- Experience working with European languages- Targeting service organizations and encouraging them to reach out- Use of transformers systems in the background- Sales technicians’ problems with limited access to information and inadequate documentation- Efforts to create chat-like interaction based on organizational knowledge- Use of transformer architecture to improve access to information- Advantage of having knowledge of AI systems- Importance of data collection for AI systems- Focus on mechanical data and document processing- Satisfaction with starting work before technology transformation- Expansion plans to other regions- Plans to improve sales processes and develop team and product with advancements in NLP and generative AI technologies- Speaker’s background in studying NLP networks and transformers at Stanford- Work experience with manufacturing companies in supporting the blue-collar workforce- Working with manufacturing companies, particularly in mechanical engineering and semiconductors- Focus on knowledge of complex machines and processes- Reference client ASMPT and their decision to sell the company’s product to their own customers- Mission to support collaboration across industries- Belief in the potential of AI to revolutionize enterprise search and customer support- Personal assistant to help with simple questions and guide users through tasks- Focus on doing things differently than traditional startup advice- Targeting hidden champions — manufacturers with global service operations- Importance of multilingual capabilities for international success- Value provided to users with lower educational levels who can benefit from the assistant technology- An international team of founders based in Munich

The Potential of Transformers in Technical Documentation: “We have basically our own transformer architecture we are learning based on those manuals, what contents there are and so on so that you have more or less like a chat, GPT like interaction.” — Fabian Pelzl — Co-Founder KNOWRON

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Revolutionizing AI in Enterprise Search: “I think this is one of the big levers, so to speak, for AI to essentially revolutionize.” — Fabian Pelzl — Co-Founder KNOWRON

The Video Interview is set to go live on Thursday, July 13th, 2023

https://www.youtube.com/watch?v=oI-v4pVmEDQ

The Audio Interview

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The Founder

Fabian Pelzl (https://www.linkedin.com/in/fpelzl/) is one of the co-founders of KNOWRON, a revolutionary company in the software industry. With a passion for supporting blue-collar workers in the manufacturing sector, Fabian has embarked on a mission to bridge the gap between white-collar and blue-collar software solutions. Drawing upon his experience working for manufacturing companies like KUKA and Ostrom, Fabian has a deep understanding of the challenges faced by service organizations and technicians in accessing and documenting crucial information. His dedication to improving collaboration across industries has propelled KNOWRON to international success, and his multilingual capabilities have played a vital role in expanding the company’s reach to global service operations. As a member of an international team, Fabian’s diverse background and expertise contribute to the ongoing development of KNOWRON’s cutting-edge product.

Questions Discussed

How does the underdevelopment of software for blue-collar workers impact the overall software industry?
Why do you think there are fewer startups targeting blue-collar businesses compared to white-collar ones?
How might the use of generative AI and transformers systems revolutionize the way blue-collar workers access information and documentation?
What challenges do sales technicians face when it comes to accessing information and inadequate documentation?
How has the use of NLP advancements and transformers systems improved the company’s product and team?
What advantages do multilingual capabilities provide for a company targeting international success?
How can AI systems like the one developed by the company discussed in the episode support collaboration across industries?
In what ways does the company’s personal assistant technology benefit users with lower educational levels in the blue-collar workforce?
How does the company’s diverse international team contribute to their success in addressing the challenges faced by blue-collar workers?
How might the expansion of the company’s product and team take advantage of future advancements in natural language processing and generative AI technologies?

The Startup

KNOWRON (https://www.knowron.com/) is a groundbreaking startup that is pioneering the utilization of generative AI and NLP technologies to support the blue-collar workforce in the software industry. With a focus on sectors such as manufacturing and mechanical engineering, KnowRon recognizes the underdeveloped software space for blue-collar workers and the immense potential it holds. With an estimated 80% of the global population qualifying as blue-collar, KnowRon’s work has the potential to revolutionize the way these workers access and utilize knowledge, ultimately improving processes and productivity. By leveraging their expertise in language processing and their deep understanding of AI systems, KnowRon is poised to make a significant impact in the market, bringing their innovative solutions to service organizations and technicians around the world. Their mission to bridge the gap between white-collar and blue-collar software is not only groundbreaking but also holds immense potential for positive transformation in the industry.

Interview with UnternehmerTUM

You can learn more about UnternehmerTUM, which helped to kick off KNOWRON in our interview from December 2022 here:

https://www.youtube.com/watch?v=1oi-2d2zqPc

Hiring!

You can learn more about the company that is still hiring

www.knowron.com

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The Interviewer

This interview was conducted by Jörn “Joe” Menninger, startup scout, founder, and host of Startuprad.io. Reach out to him:

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Topics Discussed in this Interview

In this interview, we are talking about:

blue-collar workers, software industry, startups, blue-collar businesses, manufacturing, well-educated backgrounds, underdeveloped software, global population, potential market size, growing market, scaling stage, product development, ROI, language requirements, manuals, German, English, advantage, European languages, service organizations, generative AI, transformers systems, 2023, progress, sales technicians, limited access to information, inadequate documentation, turbines, motor blocks, water power plants, physical manuals, chat-like interaction, organizational knowledge, transformer architecture, AI systems, data collection, mechanical data, starting point of NLP advancements, company expansion, sales processes, team development, natural language processing, generative AI technologies, Stanford, NLP networks, transformers, manufacturing companies, KUKA, Ostrom, Munich, shortage of skilled workers, problem addressing, mechanical engineering, semiconductors, service technicians, complex machines, semiconductor production, ASMPT, Intel, Foxconn, ease of use, cost center, profit center, software business, knowledge sharing, collaboration across industries, AI revolution, enterprise search, customer support, support levels, personal assistant, documentation, traditional startup advice, MVP, international sales, hidden champions, multilingual capabilities, lower educational levels, international team, founders, Munich, CDTM, digital technology management, diverse composition.

Automated Transcript

Narrator [00:00:05]:

Welcome to Startupradio

Narrator [00:00:07]:

dot i o,

Narrator [00:00:09]:

your podcast, and YouTube blog covering the German start up scene with news, interviews, and live events.

Jörn “Joe” Menninger [00:00:20]:

Hello and welcome everybody. This is Joe from Startupradio. io. today, I do have an interview guest from Munich. I would like to welcome Fabian here at Startupradio. Hey. How are you doing?

Fabian Pelzl — Co-Founder KNOWRON [00:00:31]:

Hi, Joe. I’m doing great awesome. Thanks a lot for having me today.

Jörn “Joe” Menninger [00:00:36]:

Totally my pleasure. We may add that you are from Naron, a AI Startupradio, from Munich, which is also associated with the program from Antennema toom. And if you like to learn more about Antennema toom, go down here in the show notes. There is a link to the interview. But before we get into that, can you tell us a little bit about what you and your cofounders did? And what what was the starting point for your Startupradio

Fabian Pelzl — Co-Founder KNOWRON [00:01:08]:

course. I’m happy to do that. So maybe I start with me and then I continue with my cofounder. So my personal background is basically a one study human factors engineering. That basically means, you know, the creation of UIs both on software and hardware. What I essentially did is focusing on software and more specifically on personal assistance. That was more or less 2017,

Fabian Pelzl — Co-Founder KNOWRON [00:01:33]:

2018.

Fabian Pelzl — Co-Founder KNOWRON [00:01:34]:

And after my studies have been to Stanford to further research this topic and This was basically where all of those NLP networks that transformers were just introduced and had all the names of characters from Sesame Street. You might remember Bert and Bernie and all of those people. And, yeah, they will be I basically learned the power behind those networks, and, you know, it was more or less. I would say now it’s easy to say, but I I would say you could already see all the trends that if you add more data, if you improve the algorithms as well that the performance will improve obviously as well. And during that time, since also, you know, Palo Alto and Stanford is quite expensive to live I already worked for some manufacturing companies mostly on sort of additional projects right, so that would be like a KUKA and Ostrom and so on mostly around Munich, I would say. And, yeah, basically, the topic was always same, how can we support our blue collar workforce because we have this huge problem here in Germany of a shortage of scaled workforce. And this is more or less how I, you know, was introduced to to to the initial problem.

Jörn “Joe” Menninger [00:02:53]:

Mhmm. we we may add a few points. First, Kuka is a robotics company. I see. Yeah. And the blue colored workers, As we say, there’s a shortage, but usually due to the vocational training system here in Germany, you have a lot of very well educated blue collar workers. They’re just simply not enough.

Fabian Pelzl — Co-Founder KNOWRON [00:03:16]:

Thanks, Vicki. And especially they are retiring. Right? So that’s, I think, like, the biggest problem what we see here in whole Europe hospitals in the U. S. that we have huge challenges right now with switch to renewable energies like a lot of infrastructure that needs to be built, but just not the hands so to speak that can actually do that. So that’s a huge problem.

Jörn “Joe” Menninger [00:03:39]:

installing solar panels, building up big windmills, working on the the the the power lines and stuff like this, so that is all what we’re talking about here. And now you guys came in And the first time I heard it, I had a picture in mind like a blue collar worker, somewhere high up high up on a pillar on our huge energy landline with an Alexa like loudspeaker on the backpack,

Jörn “Joe” Menninger [00:04:14]:

and he was talking to it, ah, k. And what to do next?

Jörn “Joe” Menninger [00:04:19]:

What what is it actually and where are the use cases for your system. And by the way, what’s the name of your system, Ernie or Bert?

Fabian Pelzl — Co-Founder KNOWRON [00:04:28]:

Now today, basically, we’re also using transformers systems in the in the background that was just basically the the early names. Right? But, obviously, it’s, like, 2023 right now. So, obviously, they’re transformers. and there was quite some progress ever since. And yeah, how can you Menninger it? I think it’s very similar what you said, how or not always on sort of power grids, right? So we started with classical manufacturing. So Menninger, for instance, like huge turbines, huge and couplings, motor blocks and stuff like that. And here what we’ve already seen basically in the field is that there are 2 big problems for those sales technicians. 1 is his access to information, and 2 is basically also the documentation of sorts. And that means what we provide them, and this is very much closed. This Alexa case that you just said that you essentially can’t just ask for information. opposed to sort of looking for it and searching for it. And just that you have an idea because this could obviously be what it just said turbines or motor blocks but even huge plants such as for for instance, a water power plant, which is quite a huge asset if you think. And what was done until, you know, end of 20 10th, so to speak, was the moment one of those plants was done, there was still a like, a huge truck delivered which brought the physical manuals. Right? So can you Menninger, you know, being a technician, you have an issue, and, you know, this is what where you have to look into. So that’s exactly what we try to tackle. So we have basically our own transformer architecture we are learning based on those manuals, what contents there are and so on so that you have more or less like a chat, GPT like interaction. However, not on this on the whole Internet, but basically just on your organizational knowledge or in this case all the knowledge around those machines and complex machinery.

Jörn “Joe” Menninger [00:06:27]:

I remember vividly when looking for information from starting in the early 2000 in large company Internet till maybe this very day. Then when you have some keywords and you punch them in, either you get nothing or you get a lot of completely unrelated stuff.

Fabian Pelzl — Co-Founder KNOWRON [00:06:54]:

Exactly. Exactly. And this I see this has been the experience, or I would say is even now the the experience, so to speak, when it comes to, you know, enterprise search. You know, there are a lot of it is keyword powered. But I think this is one of the big levers, so to speak, for AI to essentially revolutionize. Right? So a, in the support like the customer support, but even internal support because what a lot of people don’t know, service organizations are normally they’re organized in different levels. Right? So there’s a technician. But, again, they don’t have all the answers. So there’s normally always, like, a second level, a hotline where people can call and be oh, I’ve faced this problem and so on. And again, this needs a lot of capacities internally, capacities that we do not have anymore. So this is where we come in with a personal assistant to help those people with those simple questions. How do you do that? How do you do the MX? Exactly. But it doesn’t even stop there. We even help them to document after what’s what they did. Again, very simple so that they can also share their knowledge and deep it within the organization.

Jörn “Joe” Menninger [00:08:05]:

I was thinking when I first heard it was something that either integrates with some kind of glasses or some kind of speaker headphone system. Is that possible, or is it something down the road?

Fabian Pelzl — Co-Founder KNOWRON [00:08:21]:

It’s in theory, you’re right. I think AR glasses and such we’re very famous. But what we’ve learned, it’s a very nice use case for sort of fares and so on. the issues when you’re out there in the field and, you know, Menninger a dirt environment and everything. So it’s not this high-tech environment you are usually faced with. And the tool that people have basically always in the back pocket is a smartphone. Right? And you could even go to Africa and there you still find the smartphone. So that’s why we said, okay, this is essentially where we need to run on, right? So that’s basically our hardware type.

Jörn “Joe” Menninger [00:08:59]:

Mhmm. I see. And you guys have been in the Alchemist Accelerator?

Fabian Pelzl — Co-Founder KNOWRON [00:09:05]:

Mhmm. Exactly. It was pleasure. It was a great learning experience because as you said at the beginning, like, we are from Munich or, like, at least, I am actually we are quite a international team as well as a founder team. Like, we have 3 founders, and everyone comes from a different continent. So we’ve Arturo originally from Costa Rica, Ali from Pakistan and me from Germany. And both, I know actually from the CDTM, the data for digital technology management, which is more or less also you know, it’s all one mixture, I feel like you Menninger already on the name of Zoom, which I would say is part of this yeah, ever becoming stronger startup net network key in Munich. And, yeah, this is how I met them, and are quite at a national when it comes to the sort of where we come from. And this model also reflects down to the team because I think right now, we even come from 4 different company continents and also have, like, a lot of different nationalities, obviously.

Jörn “Joe” Menninger [00:10:07]:

Mhmm. I see Ali has been at the MIT. In Boston, you’ve been at Stanford. Is there a friendly rivalry going on? I think so. Actually,

Fabian Pelzl — Co-Founder KNOWRON [00:10:17]:

MIT would have been my second choice, so, you know.

Jörn “Joe” Menninger [00:10:24]:

I hope you’re not applying some there in the future. They may be able to find this interview.

Fabian Pelzl — Co-Founder KNOWRON [00:10:30]:

Okay. Fair enough. Now I think it’s a friend of this. Both are good very good institutions. In the in the end, it was very much about the research topic. I think for both, like me and Ali, both interesting and already aligned with AI and and NLP. But, yeah, it always really depends on the topic where we’re gonna go when it comes to research.

Jörn “Joe” Menninger [00:10:52]:

And my understanding is at 12. It’s also choice of clothing because if you’re in at MIT in Boston, in the winter, you’d need a lot of warm socks. Right?

Fabian Pelzl — Co-Founder KNOWRON [00:11:04]:

Definitely. So Stanford is very, you know, very much more friendly when it comes to climate.

Jörn “Joe” Menninger [00:11:10]:

I see. You guys also have already published a seed funding in November 2022,

Jörn “Joe” Menninger [00:11:20]:

Mullen, congratulations to that. So where are you guys right now? we understand it’s supporting blue color workers. I went up and thinking about it. What I had in mind was your virtual version of those very experienced colleagues that know all the answers, but don’t have always time to talk to you and you’re just taking out this time factor, and you can always ask to people, what will happen if I pull that pin?

Fabian Pelzl — Co-Founder KNOWRON [00:11:52]:

Exactly. So, Marla, so it’s definitely about, you know, augmenting those people because what we have seen is that a lot of even, you know, software Startupradio on, like, a software in general is normally targeted into the white color space. Right? So there’s, like, even for, you know, a generated AI AI right now, I think, you know, like, a handful of startups that are sort of targeting the sort of not so sexy businesses, which is, you know, in our case, for instance, manufacturing. and really those blue collar workers, right? Because white collar, when it comes to, I don’t know, HR management, procurement, stuff like that, I think there’s a lot of yeah, that’s normally the first thing people think about kind of from a well educated background. Exactly. And this is just a huge gap that we saw. And if you think about it like Worldwide, I think 80% of the whole population qualify as blue color. And that’s definitely something that we tend to forget. However, the software space, if you compare to the white color software space, is super underdeveloped. Right? And and there’s one thing what I learned in the past is, you know, you are in a market that is expected to grow a lot, it’s also easier for you to grow. Exactly. You’re right. So we are 6 stage Right? So we essentially collected the C ground with the first handful of customers that we had. And now for us it’s really about scaling, right? Obviously also further developing the product, making sure that we also meet on a good enough ROI for our customers. And exactly that’s basically the focus where we are right now.

Jörn “Joe” Menninger [00:13:40]:

Mhmm. I see. And you also have international ambitions. I read, for example, here when we discussed with the colleagues, Singapore Airlines, as is it a reference customer already?

Fabian Pelzl — Co-Founder KNOWRON [00:13:55]:

Yeah. I would say so. That’s certainly true. So it’s very interesting. So I think we did a lot of things different, what every Startupradio playbook would tell you not to do. right, for instance, even now our first MVP was already sold internationally, if you will. Our first sort of test users already came from, you know, all around the world, which normally is not sort of the easiest. However, again, you know, the sort of multilingual capabilities of transformers help us to achieve this. Right? So it’s, I think, yeah, very much this technology play that’s that plays in our favor. exactly. And, you know, the target company we normally target right now here in in Germany are really those hidden champions those manufacturers who anyway have service operations around the world, right? Those are those export champions that are delivering to all continents here in this globe, so to speak. And hence, the need was there from the very first case, which was, like, okay. Yeah. Sure. We can start with sort of Germans or German technicians. But normally, and that’s what you said at the Menninger. They already have a very high educational level. Right? It’s tougher when you go, you know, to different countries where, you know, obviously, further away from the headquarter and they are often also the education levels are not so high. And, yeah, normally, we can also provide the biggest value right? Because obviously, if you’re not that well trained, you get more out of such an assistant that you just described.

Jörn “Joe” Menninger [00:15:34]:

Sophalian, we already talked about your reference clients. Can you tell us a little bit how your average client looks like?

Fabian Pelzl — Co-Founder KNOWRON [00:15:42]:

Mhmm. So normally, the type of company we are working with right now would be, as I said, manufacturing companies from typical mechanical engineering tool to semiconductors and those so called OEMs. Right? And we would normally work with the service organizations here. So this means you have like a bigger service teams full of service technicians who are out in the field helping customers. And for instance, like one typical client, which come from Semiconductors because what we’ve learned already, right, we are talking about knowledge. And obviously, if you think about small screw or something compared to a huge semiconductor line where a lot of things are processed. Knowledge mostly is needed more on the on the later example. Right? So the more complex machines and processes become, the more value we can normally also provide. And for instance here in the semiconductors industry, we we are doing here is very similar with one of our reference clients is called ASMPT. They produce those semiconductor placements for like the back end equipment in Semiconductors. So for instance Intel or Foxconn would be the customers. And also, they are obviously, they have, like, a huge service team themselves and, you know, hundreds of technicians. And what we did here first is actually that we started internally. And since their own technicians and also the management there was so excited about the ease of use about the way that you essentially just can ask a question before you had to look through thousands of pages in order to get one of your questions handled. They even decided to sell this to their own customers. So even there, we essentially now have the possibility that customers of them can buy the product than for their own operating teams. which is like a very interesting use case for our customers because suddenly this sorta, you know, cost center at the beginning becomes like a profit center. And today, what service centers often do is that they sell the technician himself, so to speak, right, and then, obviously, there’s the spare part business. And what what I think comes next is this whole software business as well, right, by the provide platforms and services on top. And again, like knowledge is one of the key assets that those company have and what they can provide then also to their own customers. So I think this is just to give you like a little bit of an idea how big this can be. yeah, excites us every day because in the end, our mission is to really support those 2 collaborators across industries and that is what we can do with this approach.

Jörn “Joe” Menninger [00:18:45]:

I was wondering, is this your software already able for white labeling, meaning you sell the software to a client xyz, and they sell it with their highly complex machinery can it get the look and feel of their clients like the graphical user interface?

Fabian Pelzl — Co-Founder KNOWRON [00:19:02]:

Of course. That’s what I’m talking about. Right? So the industry turn very good is called white labeling. So that would be then their own sort of generated AI assistant, which again like in the area in right now where in the time we’re in right now is quite exciting for a lot of service organizations.

Jörn “Joe” Menninger [00:19:23]:

And we may add that hidden champions in Germany. They’re all over the place from the chemical industry to machine building, digging tunnels, The for example, the windows of very high skyscrapers. They are only a handful of companies that supply them in the world, and one of them is in Germany, and so on and so forth. That is quite a lot where you do have a potential, what will be the next steps for you guys?

Fabian Pelzl — Co-Founder KNOWRON [00:19:54]:

Yeah. Exactly. Like, right now, as I said, we still try to focus on this region but slowly also sort of reaching out to different sort of reach and in terms of like sales processes, right? So that’s definitely like just the next logical step. And obviously also we want to further with the team and product because as you can imagine there’s a lot of speed right now when it comes to a natural language processing technologies and generative AI. And I think we are right now in a very good position in order to also benefit from those technology advancements, right? And this normally just translates then obviously into product and people.

Jörn “Joe” Menninger [00:20:41]:

I do get the impression that a few of the entrepreneurs who started 2 to 5 years ago They currently regret not to be able to start now with all the large language models and all the natural language processing. We do have in place right now that it can build up the company right now because they do see the potential of that, and that is something you guys are harvesting.

Fabian Pelzl — Co-Founder KNOWRON [00:21:07]:

Definitely. Like I think, however, it also plays in our advantage that we know how those things work even 4, it was, like, as easy to build as it is right now. Because in the end, as you know, like, every AI system, it’s also about the data that we collect. And, yeah, for us, this normally means, like, mechanical data. Right? Manual was, like, even the mechanical tone, so to speak, whether chemical language is very specific and there or what this made us do those the files when it comes to document processing, stuff like that. We’ve just seen a lot until until right now. So this is why we can really pick up the speed now with the technology transforming as well, right? So that’s Yeah. I’m quite happy that we also started even before that, but you could argue that the sort of NLP summer already started levels. back in 2019 or whatever.

Jörn “Joe” Menninger [00:22:12]:

Where are you currently looking for new clients if somebody is listening to this are you limited to Asia and to Europe, North America? Are you what languages

Fabian Pelzl — Co-Founder KNOWRON [00:22:25]:

do the manuals have to be in, I would assume German and English wouldn’t be a problem. Of course not. So, again, right, so that’s one of the great advantages that in theory, we can work with any type of language, right? What we did a lot of where we did most of the experience so far is obviously just where we are, like, you know, all the European languages, right, German, English, Spanish, French, all of them. So clear. When you say whether we are looking for clients, obviously, always, we are looking for for my customers and clients. Like, normally, we tend to work with those service organizations. Right? So somebody listens in the service organization says, hey, yeah, we need to also augment our own workforce when I try out generative AI and how we get how this helps to improve our own processes, then definitely reach out.

Jörn “Joe” Menninger [00:23:18]:

I would also see it as a potential option to have 3rd party workers employed there, and they can draw on the knowledge from you too?

Fabian Pelzl — Co-Founder KNOWRON [00:23:29]:

Totally. Right. So that’s also very normal, actually, in in mechanical engineering so that not everything is done by your own work for so to speak, but especially in different countries you normally have like distributors within sometimes to do the service. That’s like another thing that what we already can provide is just like a very levered access and right management. So that certain people have access to more knowledge than others. But, yeah, you’re totally right. I would even say the standard today.

Jörn “Joe” Menninger [00:24:03]:

Mhmm. Would you guys be open to talk to new investors? I assume you had live year, the seat funding. So there will be next yearthen year after series a on the horizon.

Fabian Pelzl — Co-Founder KNOWRON [00:24:19]:

Exactly. So, I mean, right now we’re not fundraising, but, you know, as it works, it’s like normally that we are looking for sort of partner we can trust and that are basically also on the same mindset as we are. So that’s why probably always helps to get it to know each other. But, yeah, we think we’re probably not fundraising something.

Jörn “Joe” Menninger [00:24:40]:

Mhmm. And are you guys currently looking to hire somebody? Because, usually, the answer is good developers, I would assume in your case also develop us with NLP

Fabian Pelzl — Co-Founder KNOWRON [00:24:53]:

capabilities. Exactly. So we are always looking for great talent. Right? So for that, it’s basically always all the funnels are open. as you already said. So if you are, like, an expert with NLP system or you wanna become 1 and you’re just super interested and so that, you know, bring some fire here spot sparking interest, then definitely reach out. We have quite a big tech team, which is probably also different to, like, a lot of different startups. We know just because of the yeah stack we are providing to those customers we are working with already. Yeah.

Jörn “Joe” Menninger [00:25:31]:

Mhmm. Great. Sounds pretty good. Everybody who’d like to learn more down here in the show notes, there is a link to your personal LinkedIn profile, the company website, and, of course, a place where you can learn more about open per station so you can find everything on our medium block.

Fabian Pelzl — Co-Founder KNOWRON [00:25:50]:

Excellent. Perfect.

Jörn “Joe” Menninger [00:25:52]:

Great. Fabienne, it was a pleasure having you here. Thank you very much. Finish cost for you guys and come back when you’re raising Series A.

Fabian Pelzl — Co-Founder KNOWRON [00:26:01]:

Sure. We will always come back. Thanks for the invitation. again was very nice talking to you today. And, yeah, enjoy the rest of the day.

Jörn “Joe” Menninger [00:26:10]:

Thank you. Have a good day. Bye bye. Bye.

Narrator [00:26:18]:

That’s all folks. Find more news, streams, events, and interviews at www.startofrad.i0. Remember, share is careful.

Key Takeaways

Topics Covered:- The need for augmenting blue-collar workers in the software industry- Underdeveloped software space for blue-collar workers compared to white-collar workers- Poten

This article covers a significant development in the DACH startup and venture capital ecosystem.

The DACH region (Germany, Austria, Switzerland) continues to be one of Europe's most dynamic startup markets.

Frequently Asked Questions

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