How to architect a deep tech product for the energy sector?
In this episode of the Devico Breakfast Bar Podcast, host Oleg Sadikov sits down with Quentin Scrimshire, co-founder and CEO of Modo Energy, to unpack what it really takes to build a deep tech company at the heart of the electrification revolution.
We talk about how Modo’s data underpins billion-euro power assets, why being AI-native is now the standard, and how to scale a high-trust product without bloated headcount or broken processes.
Quentin shares how Modo’s software – designed to forecast the performance and value of power assets – has become part of the financial backbone for billions of euros in grid infrastructure. That means every line of code, every forecast, every update must meet the highest standard of trust and reliability.
But this episode isn’t just about energy—it’s a masterclass in how to build a lean, principled, AI development team that can move fast without breaking things. And whether you’re scaling a product or looking to hire software developers with the mindset to handle high-stakes systems, this conversation delivers real, actionable insight.
Listen here: https://devico.io/podcasts/quentin-scrimshire
What we cover:
Why data = infrastructure when it comes to power markets and electrification
How to scale without chaos using “principles-first” leadership inspired by Ray Dalio
Being AI-native: why every hire must prove they can deeply integrate AI tools into their work
Build vs. Buy: Modo’s strategy for experimenting fast and rebuilding only when it matters
In-person culture in a global company: why Modo mandates 3 office days per week
Software development outsourcing the right way: how their early bet on Ukrainian talent became a long-term strength
Balancing innovation speed with product trustworthiness—especially when decisions are high-stakes
How automation unlocks expansion into new markets without bloating the team The future of tech talent compensation in an AI-dominant world
