Lennart  Thurfjell
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Lennart Thurfjell

CEO at Combinostics

LinkedIn: https://www.linkedin.com/in/lennartthurfjell/
Uppsala, Sweden
Member since September 25, 2019
Co-founder and CEO of Combinostics Quote_down
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Credentials None
1988 Uppsala University , BS , Mathematics
1989 Uppsala University Computer Science

My favorite startups:


Why did you start your company or why do you want to innovate inside your company?

We had developed the technology together with clinicians in an EU-project. Results were so good so we decided that we must ensure that what we had developed would have a continued life and making an impact also outside the project.

What's most frustrating and rewarding about entrepreneurship/innovation?

The most frustrating is probably the amount of time it takes to ensure that the startup is sufficiently funded. The most rewarding is being quick both in terms of decision making and development.

What's the No. 1 mistake entrepreneurs/innovators make?

Hard to say which is the no. 1 mistake, but one difficult thing is to ensure that the company has the right amount of financing. I think common mistakes are both growing the company and costs to quick, but also to be underfunded and hence to slow.

What are the top three lessons you've learned as an entrepreneur?

If I restrict this to the medical device software business, I would say:
1) make sure you get your regulatory strategy in place early
2) getting products out and approve will most likely take much longer than you initially plan for
3) do underestimate the amount of time you will need to spend to chase money.

Why did you choose to be an entrepreneur?

I have worked in start-ups and in large organizations before, and most recently before Combinostics, I was 10 years with GE Healthcare. When I got the chance, I felt it was time to go back to the small company/start-up world.

What are your favorite startups?

Companies launching disruptive technology. Spotify is, of course, a great example and in the healthcare world, which is my business area, we see many new companies launching products where machine learning helps physicians in decision making.