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In the last episode, we explored Hampus' journey from mandatory military service to university, where they started their company with the sole goal of not working for a big corporate entity. Throughout this time, he experienced a lot of paradigm shifts, learning that not only can he solve problems he thought he wouldn't be able to, but also being able to define the problem, to begin with, even when there are plenty of more experienced people around him. These paradigm shifts continued after selling their company to BlackBerry, something that put him on the path of eventually starting the early stageClimate Fund, pale blue dot.
Hampus Twitter: https://twitter.com/hajak
Pale Blue Dot: https://paleblue.vc/
The Drop: https://www.thedropconf.com/
TechBBQ: https://techbbq.dk/
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The climate crisis is one of the most urgent challenges we face today. And while there are many different things one can do as an individual, it is easy to get overwhelmed by the sheer scale of it. Hampus, like many of us, felt that way when he was working as a venture capitalist after selling his company to BlackBerry. But instead of letting it paralyze him, he turned his concern into action. He decided to focus his life on combating climate change by starting his own climate tech fund.
During this interview, you'll very quickly notice two things about Hampus. Firstly, he is highly energetic, which leads to him interviewing himself as I tend to be more introverted. Secondly, Hampus is deeply curious about anything he comes across, which motivates and drives him and starts during mandatory Swedish military service.
Hampus Twitter: https://twitter.com/hajak
Pale Blue Dot: https://paleblue.vc/
The Drop: https://www.thedropconf.com/
TechBBQ: https://techbbq.dk/
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
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Design by Amadeus Schwed:
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Fehlende Folgen?
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In this second part of Deep Tech Stories, we dive into the founding story of Cerebriu and how Robert Lauritzen and his co-founders struggled with CoViD and GDPR, making it nearly impossible to get their software past hospital management and into scanners.
So it is 2018 and Robert and his co-founders just came together to form Cerebriu with 6 months of runway. Over the last years of his career Robert learned how to manage hundreds of people spread across the globe and eventually become self-employed as a consultant. When starting Cerebriu he had to put that knowledge into action, come up with a MVP and increase their runway quickly.
Chapters:
(0:00:00) - GDPR and Medical Tech
(0:14:21) - Risk Stratification Solutions COVID-19
(0:25:20) - Ethical Considerations in Health Tech
(0:31:05) - Transforming the Paradigm With Early Adopters
Chapter Summaries:
(0:00:00) - GDPR and Medical Tech (14 Minutes)
In this part of Deep Tech Stories, we explore the founding story of Cerebriu and how Robert Lauritzen and his co-founders navigated the challenges of CoViD, GDPR, and hospital management to bring their software to life. Starting with only six months of runway, the team quickly pivoted from biomarker quantification to being a workflow company, developing their brain MRI automation product, Apollo.
(0:14:21) - Risk Stratification Solutions COVID-19 (11 Minutes)
During the CoViD-19 pandemic, Cerebriu developed lung X-ray technology for risk stratification. The discussion also covers the importance of securing the CE Mark for medical devices, the difficulties of implementing new technology in hospitals, and the company's strategic partnership with Siemens. Additionally, we examine the market transition toward a platform approach and Cerebriu's plans for profitability and expanding its product portfolio.
(0:25:20) - Ethical Considerations in Health Tech (6 Minutes)
In this section, we discuss how to raise funds for a MedTech company, the importance of having a clear ethical compass, and Cerebriu's plans for the future. With their ethical guidelines, the company aims to work with hospital partners and other organizations transparently and responsibly. As Cerebriu continues to grow, they plan to collaborate with other OEMs and expand its offerings in medical technology.
(0:31:05) - Transforming the Paradigm With Early Adopters (1 Minutes)
In this portion of Deep Tech Stories, we focus on Cerebriu's journey to market. Bringing their groundbreaking brain technology to early adopters and beginning the transformation in the medical field. As a small company, this task is monumental, but the potential impact is immense. Join us as we explore the steps Cerebriu is taking to change the paradigm.
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Have you ever laid inside an MRI machine, listening to the loud buzzing and thumping sounds, wondering what's going on outside?
It's a strange experience, lying there, helpless, relying on the machine to give doctors a glimpse inside your body.
But in the end, the doctors still need to interpret that glimpse by themselves, often with the help of a radiologist, which takes time and resources.
So it seems like the perfect task to automate and reach super-human performance using Machine Learning, right?
That's exactly what Robert Lauritzen and his Co-Founders at Cerebriu thought as well.
Robert himself has a long entrepreneurial history, which prepared him perfectly for revolutionizing medical imaging techniques, starting all the way back during high-school.
If you enjoyed this episode, why not recommend it to a friend?
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So it's 2012, and Casper is at the end of a sabbatical he started after leaving the hardware startup he started during his studies, Unispeed, at the Niels Bohr Institute in Copenhagen.
Just as he was starting to head back into the job market, deep learning achieved a major breakthrough in object classification, propelling the technology to the heights it is now.
This is also when AI sparked Casper's interest, and he remembered his old idea.
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Modern AI in particular, so-called deep learning is everywhere. Alone in the last few months, a new generation of image generation based on text prompts emerged that is arguably on par with human artists. However, in many crucial applications, the black-box nature of such models is a problem. If you want to let the AI drive a car, no regulator or decision maker will allow it. The same is true for any applications that deal with scientific understanding. You want to understand why the AI comes to its prediction and which parts of your dataset are essential.
But there is a different approach to AI that would be able to solve this black box problem. So-called symbolic regression, instead of obtaining several million or billions of parameters, which make up your model, you would get an equation that the person can understand just by looking at it.
The problem is symbolic regression is insanely hard to do. In fact, it is so tricky that no one has managed to use it for anything than the most basic toy models. No one but a small Danish startup called Abzu, which just received a 2.5 million Euro grant from the European Union to apply their symbolic regression algorithm to drug discovery.
Abzu's CEO Casper Willstrup an avid Coder, ever since his childhood, initially came up with the idea for Abzu, the QLattice, during his physics studies in the mid-90s. Ever since he came up with the idea to solve symbolic regression, his career took many twists and turns, all leading back to him studying physics and getting his first computer when he was nine years old.
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In this second episode with Martin Hassler Hallstedt in Deep Tech Stories, we continue where we last left off. Martin just finished his PhD degree in Psychology. The degree he started with the purpose of building an app, making the most recent empiric learning research available to kids teaching them maths.
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If you look at the majority of education systems, you'll notice that there is little to no change between today's kid's experiences and their parent's or grandparents.
Yet the rest of the world never stopped evolving. Our old education systems are just not suited anymore to cope with the requirements of the modern world. Especially when it is estimated that 65% of today's children will have jobs that don't yet exist.
One way to fix this is by bringing modern tech into the classroom and individualising the learning process. Not only does one gather information about every student, but it also increases their well-being and performance. One of the people doing that is Martin Hassler Hallstedt, turning his Psychology PhD project into a Maths learning app called "Count on me" for young kids. Why maths? Well, maths is the best predictor of later academic success, even more than reading comprehension.
But his path didn't always seem to guide him towards math ...
Chapters:
00:00 Introduction
02:46 Martin's First Crush on Learning at School
06:04 How Cognitive Behaviour Therapy can help you become more skilled at something
09:38 Maths as the most important predictor for later learning
11:59 Why one size doesn't fit all in education
15:02 What is the gap between research and what we know?
18:11 How to utilise the attention span in a ten year old
19:56 How did Martin get involved in a CBT app?
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
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Music by Nathaniel Drew x Tom Fox:
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Design by Amadeus Schwed:
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This episode was edited by Jonas Fuksa
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For some people, the entrepreneurial path seems like the most obvious. Others fall into it after a long time of trying out other things. Other people again actually never start a company but have so much operational talent and domain knowledge that they've learned throughout their career, that they still end up as the spearhead of the company. Karin Ebbinghaus is one of those last people. For the majority of her career, she worked in the legal field, becoming an expert in mergers and acquisitions, to later leverage that knowledge as an Investment Manager at a GreenTech fund. This is where she eventually came across Elonroad ...
Last episode:
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Earlier this year, the European Union approved ending the sale of vehicles with internal combustion engines by 2035 to reach the carbon emission targets by 2050. This means, from 2035 on, you will only be able to buy electric vehicles. And while EVs have seen an impressive leap in reach and accessibility in the last decade, there are still many things to buff out to allow for widespread adoption.
High on the list of those issues are a lacking charging infrastructure, reach and grid overloading when too many people want to charge their cars simultaneously.
One way could be electric roads, where the car is being charged while driving. With such a solution, one would increase reach, reduce necessary battery size and with that reduce the entry price for new car owners. And on top of that, the maths check out that on lowering grid load.
However, Karin Ebbinghaus, CEO of Elonroad sees an additional reason to work on their contact-based electric roads: Electric roads would make life much easier, without the necessary hassle of plugging in your car.
Timestamps:
0:00 Intro
2:05 What is restricting full electrical vehicle adoption?
2:37 The motivation behind Elonroad
4:25 Contact vs. Induction
6:27 Benefits and problems of electrical roads
8:49 Rasons why car manufacturers haven't adopted as quickly
10:35 How to make electric roads reliable
13:14 Core technology behind Elonroad
14:45 Electric roads for commercial operators
15:47 Current trial tracks and figuring out where to place the electric roads
16:55 Impact of electric roads on truckers
18:00 Which solution will come out on top?
21:51 What does Elonroad currently focus on?
24:25 Disruption vs. the traditional way of doing things
26:34 Outro
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
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Design by Amadeus Schwed:
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In the last episode, Mahmoun Taher explained what Graphene is and dove more into the details of what they're doing at Graphmatech to accelerate commercial application. Like many Deep Tech companies, Graphmatech started based on research at University. In this case, Mahmoun's research as a PostDoc at Uppsala University lead to him starting Graphmatech. But similarly to Jacinto from Peafowl Photovoltaics, he was a researcher with no previous entrepreneurial experience and in search of lab space and approval by his supervisor. Continuing our conversation from the last episode, he explained his first steps when noticing that his research might be economically attractive.
If you enjoyed this episode, why not recommend it to a friend?
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In the modern age, we have become quite the experts at designing and coming up with materials for specific purposes. Depending on the desired property, we can mix different compounds to get whatever we want. And now and then we come across a new material hailed as the new super material. In the last century that was plastic, and now through a Nobel prize-winning discovery, it is something called Graphene. It is a strange two-dimensional material, wholly made out of carbon that somehow is stronger than steel and more conductive than copper. While this sounds great, there is a little problem with producing high amounts of it and producing it cheaply enough to become viable to use in the first place.
One of the people trying to solve this is Mahmoun Taher, CEO of award-winning start-up Graphmatech, which he started during his postdoc at Uppsala university. While he is trying to make Graphene known and economically feasible to use, he took the time out of his calendar to dive into the details and cover the foundations of Graphene.
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The start-up news is dominated by headlines of who got how much funding, so it seems as if funding is the only thing that you need to succeed. But if you look at a few of the previous guests, a lot of them struggled one step earlier. Vultus Robert Schmitt started out flying Drones over fields, before switching to satellite pictures. Aslak Stubsgaard had the benefit of funding Copenhagen Atomics with experienced founders and Jacinto of Peafowl Solarpower was forwarded to the university accelerator after he figured out how to turn his research into transparent solar cells.
So it's not always about getting the most money as fast as possible, but particularly in the beginning about knowledge of how to do certain things like finding and fleshing out your idea, and legal and business issues.
That's where Devika Thapar comes in. Devika is the COO of Wilbe, a self-described home for scientific entrepreneurs, where they help scientists that think about turning their research into a company to build up that foundational knowledge in building a company or maybe even getting funding.
If you enjoyed this episode, why not recommend it to a friend?
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nN5PWFssSoivlcM265ZG
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In the last episode of "Deep Tech Stories", Jacinto Sá explained Peafowl Solarpowers proprietary solar cell technology. We explored how the plasmonic approach completely differs from a normal solar cell and how they make it transparent. (Can go a bit longer here) However, we didn't touch on how they went from their original research to starting a company.
In general, there are quite a few things to consider. How does one know it is a viable product? How does one find the first customers? And how does one deal with signing a patent while being employed by the university? All those are things Jacinto was first wondering and had to solve. That's when he made contact with the incubator at Uppsala University, which explained Sweden's unusual stance on intellectual property.
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Ever since the first photovoltaic cell in 1954 by Bell Labs, the basic principle behind the technology stayed the same. Exploiting the photoelectric effect, first explained by Einstein in his miracle year of 1905, a light-particle can kick out an electron of a material if it has just the right energy. Through the smart combining of two types of semiconductors, this electron leads to a current in the material, which in the end can be used. Now while over the decades the efficiency of photovoltaics increased a lot, they still rely on the same principle and we only found better materials or ways of engineering.
However, Jacinto Sá, Professor of Physical Chemistry at Uppsala University Sweden and CTO of startup Peafowl Solar power has found another way, which is seemingly independent of the incoming light frequency and can be used for transparent solar cells. The resulting material relies on so-called Plasmonics, is only 300nm thin and can be used to power and recharge small devices or dynamic glass.
If you enjoyed this episode, why not recommend it to a friend?
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In the last episode, Copenhagen Atomics CTO explained the details of their breeder molten salt reactor. However, so far we left out how they started the company, funded operations for the last 6 years and their unique approach to building reactors, while simultaneously dealing with the legal and practical issues of wanting to deal with fissile material. But before that Aslak explains how he got into the topic of nuclear reactors and how he met his co-founders.
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In a prior episode, I talked with Sean Kenny about so-called fourth-generation nuclear reactors. In particular, on their benefits and advantages compared to classical light-water reactors. However, we didn't talk about how companies build those new nuclear reactors. Oddly enough it is not that hard to build a light-water reactor and keep it stable. We first added nuclear reactors to the power grid in the 1950s ... without the help of a computer. Yet nowadays it is quite common for a construction time of up to 10 years. Far beyond anything reasonable in an economy of scale to make a dent in energy production and climate change.
That is another point where fourth-generation nuclear reactors differ from their conventional siblings. Due to the way they work, a variety of architectures and power outputs is possible, where seemingly every startup has its own approach. One of them is Copenhagen Atomics, attempting to build a 100 MW reactor on an assembly line, and their CTO Aslak Stubsgaard, explains how they build their reactors.
If you enjoyed this episode, why not recommend it to a friend?
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When most people think about particle accelerators like CERN, they don't necessarily think of useful innovation with societal impact. It's just theoretical tinkering without much real-world application after all. However, this couldn't be further from the truth. Improvements in particle accelerators that were necessary to discover new physics lead to many inventions over the years. Among the most prominent stand the majority of modern medical imaging technology and the internet, allowing for a huge playground for deep tech companies.
With the much-awaited discovery of the, in 1954 proposed, Higgs particle in 2013, the so-called standard model of particle physics was considered to be completed. Yet, particle physicists like Professor Caterina Doglioni in Lund keep innovating and improving their techniques to go beyond the standard model and explain the so-far elusive Dark Matter.
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With climate change as the biggest threat to humanity, we're struggling to avoid or even reverse further consequences. According to the intergovernmental panel on climate change, 25% of 2010 emitted greenhouse gases come from electricity and heat production via fossil fuels as the biggest contributor. While renewable energies provide an obvious alternative, they don't come without their own downsides, such as a strong variance of power production throughout the day and seasons. Another alternative would be nuclear power. However leading to toxic waste, high expenses and possible disasters like Chernobyl and Fukushima that doesn't seem to be a wise idea either.
But what if there would be a form of nuclear energy, that is inherently safe, produces 100 times less waste and is much cheaper to build? So-called molten salt reactors, ideally fueled by thorium, differ strongly from well-known light water reactors. Which is why I sat down with Sean Kenny, Podcast host of Rock Logic, to explore those differences:
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So far agriculture has been undergoing two revolutions. The first was due to motorized vehicles at the beginning of the 20th century, boosting the number of people a farmer feeds to 26. The second revolution involved the genetic modification of crops, increasing the number of fed people to 156 per farmer. With the expected increase of the human population to close to 10 billion by 2050, we effectively need to double our food production. Behold the current third agricultural revolution: Precision farming.
The premise is simple, instead of a one-size-fits-all approach to fields and crops, leveraging data leads to an individualized approach for each patch of crop. One such company offering this data to farmers is award-winning start-up Vultus from Lund, as CEO Robert Schmitt explains.
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