This month we’re joined by Ilan Gur, CEO of the UK’s Advanced Research and Invention Agency (or ARIA), a government body set up last year to fund ambitious, breakthrough innovations.

Before joining Aria, Gur was a programme director at ARPA-E, the US government’s Advanced Research Projects Agency, which was established to develop new cutting-edge technologies to generate, store and use energy. He’s also been a founder — starting two companies in Silicon Valley

We discuss what technologies he’s most excited about today, covering topics from neuroscience to “programmable plants” to fight climate change.

She’s one of the three founders of Pale Blue Dot, a Malmö-based early-stage climate tech fund which launched in 2020 and backs pre-seed and seed-stage startups reducing and reversing the effects of climate change, in Europe and the US.

Pale Blue Dot came along just ahead of the wave of climate tech funds which launched in Europe amid the tech boom. Its portfolio companies include Ember, a Scottish intercity transport startup; Monta, an app connecting charge point owners and electric car drivers; and Climate X, a platform which helps businesses analyse their exposure to and risks associated with climate change.

On this episode of the pod, we discuss what types of climate tech company Lindvall doesn’t need to see any more of, how Europe can compete with the US and how to balance VC investing with having two newborn babies.

This week on the pod we’re joined by Jarek Kutylowski, founder and CEO of German AI startup DeepL. He’s built a profitable business in a field where he’s had to compete with the likes of Google, by developing cutting edge language translation technology.

The company says it now has “a customer network of 100k+ businesses, governments and other organisations worldwide” including Zendesk, Nikkei, Coursera and Deutsche Bahn. Kutylowski sat down with Sifted editor Amy Lewin to talk about DeepL’s technology, how it’s built an AI business with comparatively little VC funding and about how the craze around large language models is creating a new type of competition.