In episode 6 of Scaling Green-Tech, we’re joined by Beth and Leo, co-founders of Feasibly (formerly Local Energy Systems) - a startup using machine learning to speed up how solar projects get off the ground. After two years of deep R&D and grant-backed development, Feasibly is now helping renewable energy developers assess solar sites in minutes, not months.

We explore their startup journey from Durham Venture School to Innovate UK grants and angel backing and dig into the real-world barriers to scaling decentralised energy - including broken funding models, biased investor networks, and the hard decisions founders face when sticking to their mission.

If you're interested in decentralised energy, ethical AI, or the journey from r&d to scale in green-tech, this one’s for you.

Find out more about Adopter here.