This interview is a Columbus Day Special. Suhas Patel is a serial entrepreneur. He is originally from India. Suhas is living for 14 years in Germany. He started 18 startups so far. Startuprad.io visited him in a meeting room in a co-working space in Frankfurt to talk about his new venture Tvarit, an Industrial AI company.

“I believe this startup has the potential to be a unicorn”

Suhas calls himself a “Technology Evangelist” Before founding his startups he was working in R&D departments of Qualcomm and Intel.

“With the 18 startups, I helped entrepreneurs to start their business”

Suhas is working on a concept of “Business Driven Philanthropy” to build new business verticals on the latest technologies. He had to close 70% of the startups he helped to start. This is great, especially since normally 90% of startups do not survive. Now he decided to stop all his assignments and concentrate 100% on Tvarit, to make the AI startup the first unicorn in Frankfurt.

“B2C Ai startups are mainly in China and the US. For B2B there is a great potential for Germany”

Tvarit (त्वरित)is a Sanskrit word, almost 3000 years old, it means fast. Tvarit’s core values are based on “FASTER customer journey” and “PERSISTENT prediction accuracy”. The concept of Industry4.0 is misunderstood as condition monitoring. Tvarit takes a step further by taking the data from the condition monitoring and provide the analytics to give actionable insights.

“we have the potential to become the SAP of Artificial Intelligence, since we can get a 360 degree view of the whole manufacturing unit.”

For those, who do not understand Joe’s joke: Skynet is the evil computer AI in the terminator franchise, trying to eliminate mankind: https://en.wikipedia.org/wiki/Skynet_(Terminator)

“Two things are important, execution and focus”

Having strong R&D, Tvarit guarantees a patent application during the first 4-months project.

“You need to execute wisely and fast”

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Transcript

Welcome to startupred.io, your podcast and YouTube blog covering the German startup scene with news, interviews and live events.

Joe: Hello and welcome everybody. This is Joe from celebrate all your startup podcast and YouTube blog from Germany right now I’m here in lovely Frankfurt. We are at the very fancy plush new Bandha studio, which is the area around the central station or Frankfurt, which used to be a very red light district and it’s now in the conversion from a red light district into a fancy startup and finance hub and area. I do have Suhas here with me hello, welcome Namaste!

Suhas: Tenge yo.

Joe: And we’re here to talk a little bit about you as well as your achievements as an entrepreneur in the past and to current startup, which as everybody could, yes, you are finding in Frankfurt.

Suhas: Yes.

Joe: So can you introduce yourself to our viewers?

Suhas: Sure. My name is Suhas Patel I have been living in Germany for 14 years and I’m basically technology –. So I started my journey with computer science as an engineering background and master’s in car mobile and then telecommunications. I worked for RND departments, for companies like Qualcomm and Intel for quite long time and at the same time I was working on a concept of business driven philanthropy. And I started 18 startups through that concept and most of the startups were into technology startup a few of them are indoor manufacturing as well. I help both startups other companies which could grew up I help six manufacturing unit. And now I am running a company called [Inaudible 02:03] GMBH, here we are doing artificial intelligence for manufacturing industry.

Joe: Okay, let me get this straight, you started at 18 startups and you’re not in your eighties, so you’ve run a lot in parallel, right?

Suhas: Yes

Joe: What is the best recommendation to do parallel tasking and what is the worst recommendation you came across?

Suhas: So the best combination, when I started this concept of business philanthropy, I was always thinking that I need to help entrepreneurs. So I was never active in those startups in day to day jobs, so what I did, I helped somebody to start something, I helped them with the initial finances. I make sure that they have funding for the running of their day to day activities their jobs and their families. And then they started working on those concepts, actually, I believe that over the period of time we had to modify the or fine tune the concept to run it better but when I started –, I taught this is the startup which has potential to be unicorn and I believe that here is my place so I quit all my assignments. I was a consultant, I was working somewhere or I was helping other startups, I quit all those assignments and I’m full time focused on [inaudible 03:29] because this is the technology I feel that we’ll bring revolution and disruption into the market.

Joe: Have you ever talked with a media outlet before about that?

Suhas: Not quite often, last week we went into IAA so I gave a couple of interviews there about my view in automotive industry, how artificial intelligence can bring disruption there but not that often.

Joe: I see. And so basically you’re saying with –, but we will get into that name soon you want to be the first unicorn here in Frankfurt?

Suhas: That is true.

Joe: Awesome. Awesome. So, let’s talk just a tiny bit more about what he did and then we get into the future unicorn. Okay.

Suhas: Sure

Joe: So, basically from what I understand you’ve been more of a backer of an investor of those startups, like an idea given rather than a day to day CEO?

Suhas: Yes. I would say that was for my past startups. So, I learned that in those startups the CEO has to be very much active and proactive to run the startup, to make it to the unicorn level and that is the experience which I’m bringing from old startup. What I did in those startups are learnings, those learnings I’m applying here, I’m saying that 18 startups which I started but not all of them are successful. 70% of the startup I had to close down, I had to exit but one bankruptcy as well so I had a very nice experience, 360 degree view of startups before I started working in Tori when I started working in Tori, I thought that every single second of my life is dedicated to Tori because there is a lot of potential, there is a lot of need for such a product that is, no other product is available.

And we are focused into research and development to bring value to the industries starting from Germany where it is a base for manufacturing and sensor data. So Germany is very well known for manufacturing industry, very high quantity machines.

Joe: Which is made Germany?

Suhas: Yes. Made in Germany I would say. And here, if you see B2C startup, those startup are –talking about AI startups. So consumer AI is into United State and into China, but there is a very high potential for Germany to stand up into the market and say that we are the market leader into high quality machineries. At the same time we bring the technology into artificial intelligence and give it to the world with a very high quality machinery and combined with other –.

Joe: Yes, that definitely makes sense if you have the machines that are learning to work together more efficiently. That totally makes sense, and let us get a little bit into 12. [Inaudible 06:43]. The name is an ancient one you told me, right?

Suhas: Yes. Almost [inaudible 06:48].

Joe Okay. Can you tell us a little bit more about it?

Suhas: So Tori is a Sanskrit word when it means fast and it also shows in our tagline fast and persistent. Our customer journey is also, we want to make their journey into artificial intelligence is really fast. We have programs on four days for weeks, four months, four years, but the four days program really concentrated to give the reusable output to the customers, which they can use and extend their journey. Plus we have a cognitive machine intelligence of our own research which helps accelerate that journey. That is what we call fast and fast is equal to Tori, Tori is a Sanskrit word for fast

Joe: Okay and within four days basically your clients are able to write their own cultural sky net, right?

Suhas: Yes. You can say that I would say for the manufacturing industry for sure, for manufacturing industry it is very important when we talk with the client, we are bought into IFA, we went into EMR, all these exhibitions we have in that in last three weeks as an exhibitor everywhere. And when you go to the client place in the index stand, they always say that we are doing industry 4.0 artificial intelligence and we ask them what exactly you are doing. And most of them are doing subject to conditional monitoring. They take the data from the paying of bills and then they show it.

Joe: And they don’t rethink it?

Suhas: Yes. So that is what they mean with industry 4.0 what we are planning to bring is providing the analytics on top of that condition monitoring so that they take the future decision very easily and very fast.

Joe: I see. And how is your product like constructed and when I have something in mind like this, I was thinking about toys where you can stack the wood toys on one another or something is it working like that?

Suhas: Yes. So we help two parts of our product one part is a software, software can be used by any CXO level people or marketing people they do not need to have a data science background. And then there is a platform that the data scientist or prompt that company can start building their own code and do feature engineering on top of that. So the product is built in a way which gives the flexibility to not to write code, to do feature engineering on top of it so it’s like complete –.

Joe: Okay. When I understand it right, like you give him the analyst’s ability to coach and the level a on very top of the company to basically get all the reports?

Suhas: [Inaudible 09:52]

Joe: Okay. And what kind of coding knowledge does the analyst who’s actually doing it need?

Suhas: So, if it go in a softer part, they do not make any coding scale required so they can directly connect their data source and we can help them within 13 minutes to connect the data source and start getting analysis. So software, they do not require any expertise of coding, but when we go to the platform, when they want to help their own certain features they want to right then they need to have expertise in to Python RR or spark know.

Joe: I see. And where do you differentiate yourself with — from all your competitors?

Suhas: Competitors are always there and it’s a healthy thing but the research what we are doing is differentiating from our competitors. The research, we are basically the research oriented company we make sure that when we work with a client we give them value and this value is income top patent. We guarantee that when we work with a client for more than four months, then we get on the one treatment which especially for them machinery combined with artificial intelligence we fight together with them. So research is our niche which we do with the client, yes.

Joe: And do you charge additionally for the patent or is it just included in the usual offer?

Suhas: It is included in their usual offer.

Joe: So you’re not only going to generate a unicorn but also patent machine?

Suhas: Yes, actually that is quite impressive. UTC the world market around 20, 30% patents are coming from China or 30%, 30% from United States into the space of artificial intelligence. But there are like 3% patent coming out of Germany there is a lot of research happening here. We are working with college campus for artificial intelligence and they say that we help potential to be SAP of artificial intelligence because we can give 360 degree view of the whole manufacturing unit. So our aim when we work with German client here, because we are a German company and we are proud to be German company, we want to make sure that more and more patents, which is happening in the research that comes into the market and a number of patrons coming out of Germany is increased.

And that is, that is a motto and a vision for us. We are working with to you jumpstart the professors from to round start to do research and there are a couple of more universities which we are working, to make sure that more and more patent coming out of the Germany, which can be utilized into industries.

Joe: And I’m going a little bit back to your company, to your platform so basically, how would I imagine it as a client, you come in, you have like a computer, you put it in their data center, you plug it in and it starts running?

Suhas: I would say it’s not that easy we need to configure it as well. We need to connect that data source but if they have that data into Amazon web services, they can directly use it. We are also talking with Microsoft and they are very much interested to put our product in that platform so that it will be available on Microsoft platform as well. Siemens Mind Sphere is also our partner, so they will be selling our product from some Mind Sphere platform. IBM, if somebody do not want to send that data into cloud, then they can help on premise solution with IBM. Where our solution is very much tasted with them and they can use IBM as was.

Joe: So basically bottom line is you’re working with almost all of the cloud providers as well as he can have on premise solutions, right?

Suhas: Yes, that is true.

Joe: Is there like a presentation, like a video or something which people who are now interested in the product can see that we can link underneath the interview?

Suhas: Yes, sure. I will send it –.

Joe: So everybody who sees this and is interested go down here in the show notes and you’ll most definitely see a presentation off the software. Now we talked a little bit of what your product is. How do you set up and where are the benefits of the client? So what do you see they can twist out of your –, what would be a benefit for them? What is your insight you can help with?

Suhas: So basically, most of the industries whom we are speaking with their basic problem is like overall equipment efficiency increase. So they heard the market is good for them and they want to increase the equipment efficiency one thing, second thing they want to use our product into research and development. So we are talking with couple of clients into cable manufacturing and a process industry hitter manufacturing and no furnace manufacturers. They are doing testing and each test cost a lot of money for them now we help them collect the data out of the test, analyze those data and make sure that that decisions are taken very wisely without retesting often. So analyzing data from –.

Joe: So you accelerate the development cycle?

Suhas: Exactly. Production overall equipment efficiency and a development cycle that is the most important thing. Second thing, I mean I will say — is a quality optimization they want to optimize the quality and the consistency into the quality or the build of time there is a third criteria which most of the clients are asking.

Suhas: Sounds good to me. I don’t have right now questions left on your product, but I would be curious to a half, like a little bit advice for all the people aspiring to be an entrepreneur. What would be your best advice for someone looking to come to Germany to start a company?

Suhas: I have experience in that and I can say if I summarize all the experiences,  there is no straight line advise which can be given to each industry but, two things are very important execution and focus. Execution should be fast, fast that, I mean sometimes we think that, okay, some client gave our input and we work the whole night to get out, put on the next day. We are ready if the client requires that in after one week or two weeks or 10 days, that’s fine, but we are ready so that, that the activity should be there. And our team, you know, especially my CTO Rahul, he’s very much active in providing solution he likes that, he loves to play with the data. Yes. So, I would say the execution is the key you need execute very wisely and fast.

Joe: And do you believe in Germany you have higher quality standards than in other countries?

Suhas: Of course, Germany has a very nice infrastructure for startups, but there’s a bureaucracy as well which needs to be taken care of. But once you learn that you know that it’s not bad I would think that it is really very well I mean if we talk with the customers the first question they ask, “Are you a German company?” When we say yes, they are not hesitant to share data with us. That is just because of the bureaucracy we have every single thing here is taken care by government in a different way it is hard to follow but once you follow that, you are much in advanced stage talking to your client they trust you much more than you are looking at somewhere else yes.

Joe: When I was talking to an entrepreneur, she’s originally from Australia and she founded a startup here in Frankfurt. She said the German way is, it takes a lot of work to set something up but then it keeps working like clockwork.

Suhas: Yes. Yes, that’s true. Yes, one more thing I want to put here as you mentioned once you are into the system client are really sticking to you so they don’t run away. They’re not changing their supplier very often, so it’s very easy entry barrier is high but once you are in, you are in so you just need to take care of the quality.

Joe: Very loyal customers.

Suhas: Exactly, very loyal customers.

Joe: Okay. And just for the final question, if you had the choice to be the CEO of any company in the world for just one week, which one would it be and why?

Suhas: Google. I liked the way the company is run, the way that it is bringing innovation, the way they are taking care of employees and environment I really like Google as a company, which I am thinking to take even my company in that direction not only money, but the value which is created in the society by entrepreneurship I think Google has created that value.

Joe: Great.

Suhas: Yes.

Joe: Thank you very much. All the best keep us updated and a thumps press as we do in Germany, others do finger crossing but we press thumbs.

Suhas: Thank you very much it is a pleasure talking to you.

Joe: My pleasure.

Suhas: Yes, thanks.

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