Thursday, December 9, 2021

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Sabine Elsässer
Sabine Elsässer is founder and chief editor of the StartupValleyNews Magazine. She started her career at several international direct sale companys. Since 2007 she works main time as a journalist. While that time she learned more about the Startup Scene, what made her start her own Startup Magazine the StartupValleyNews.

Inspirient: We are building an Artificial Intelligence (AI) that can automatically analyse any business dataset

Please introduce yourself and your startup Inspirient to our readers!
My name is Georg Wittenburg, I am one of the two founders of Inspirient. Although we didn’t know each other before kicking off Inspirient, we have a surprisingly similar background in the founding team: We both did our PhD in Computer Science and then went on to work as management consultants (at BCG and Deloitte). This is also how we got the idea for this startup: We are building an Artificial Intelligence (AI) that can automatically analyse any business dataset. This AI produces presentation slides for people to read -just as we did during our time as management consultants.

How did you get the idea to Inspirient?
As former researchers in Computer Science, we both found it odd that business data is analysed manually. If a car can automatically take a left-turn on a busy intersection in San Francisco, then computers should be able to analyse data by themselves as well. For us, an analysis ends when a document is produced that is useful for decision making. And this is exactly the document that we are teaching our AI to write for any given input data.

How difficult was the start and what challenges you had to overcome?
AI is certainly a buzz word these days. Hence, it is really important to actually have something that is working and useful for the client. Even then, actually working with an AI for the first time may feel strange at times. People have to get used to it over time, and ideally let other people know that it’s not that hard after all. That’s why we were very happy that both our principal investor Prof. Dr. Scheer and Deutsche Bahn as one of our first clients help us get the word out!

Who is your target audience?
We target people who want to discover what’s hidden in their data, and companies that see data is key to their future business model. These can be companies that are transitioning towards data-driven production, maintenance, or R&D, or even consultancies that are being confronted with ever-growing amount of data that needs to be analysed for their clients.

What is the USP of your startup?
At its core, Inspirient is all about discovery. There are some many patterns buried in business data, and we use automation and AI to bring these patterns to the finger tips of businesses. Specifically, this means that our approach is unique in that our AI works without pre-formulated hypotheses. Instead, all possible insights from a dataset are evaluated and cross-checked. The user can then scan and select the results relevant to him, which we support with custom recommendations.

Can you describe a typical workday of you?
We typically work out of our main office in Berlin, where I split my time between client projects, investor relations, product development, and general management. As a founder you get to do a bit of everything.

Where do you see yourself and your startup Inspirient in five years?
In our day-to-day business, we get at times the idea that we may be re-inventing the calculator: a machine that does math, or in our case, general data analysis for you. The great thing about this is that today there’s a calculator not only on every desk, but in every smartphone. So, if we’re building a better calculator this could be quite a ride!

What 3 tips would you give other Start-up founders on the way?
1) Be ambitious – food delivery may be a good business but won’t change the world. 2) Be humble -if your client doesn’t pay for it, it is not a product. 3) Balance 1) and 2) to build your company.

Picture: Profund Innovation/FU Berlin

More information you will find here

Thank you Georg Wittenburg for the Interview

Statements of the author and the interviewee do not necessarily represent the editors and the publisher opinion again.

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