July 31, 2025

Episode 6: Beth Holloway and Leo Thomson (feasibly) - Using AI to Accelerate Decentralised Energy

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Episode summary

Leo Thomson and Beth Holloway, co-founders of feasily (formerly Local Energy Systems), discuss geospatial machine learning for decentralised renewable energy development on Episode 6 of Scaling Green Tech, a podcast by Adopter.Feasibly has built a geospatial ML engine that reduces ground mount solar site assessment from one to two months down to minutes, at accuracy above human-only analysis. The company reached this point through three deliberate phases: bootstrapping via consulting contracts, two Innovate UK-funded R&D projects, and a postgraduate research programme completed by Thomson specifically on ML approaches to solar site assessment. Thomson and Holloway discuss what they learned across each phase - including how to choose accelerator programmes, when to pursue equity-free funding over angel investment, and how to build advisor relationships that actually move a business forward. With angel backing now secured, their focus has shifted to commercialisation and product launch.This episode is relevant for decentralised energy developers, ground mount solar consultants, geospatial tech investors, and early-stage founders navigating accelerators and funding for the first time.

Guest profileS

Leo Thomson is co-founder of feasibly. He holds a postgraduate research qualification in machine learning approaches to ground mount solar site assessment, completed during the company's R&D phase. His focus is applied ML research and geospatial modelling for decentralised energy infrastructure.Feasibly is an early-stage UK startup building data and analytics tools for decentralised renewable energy developers. Its core product automates ground mount solar site assessment using a geospatial ML engine, cutting a process that typically takes one to two months down to minutes. The company has completed Innovate UK-backed R&D and is a cohort member of Geovation, the Ordnance Survey and Land Registry accelerator.‍

feasibly website

Leo Thomson LinkedIn

Beth Holloway is co-founder of feasibly. She led the company's grant strategy, winning two Innovate UK projects. Her background is in climate action and entrepreneurship, and she has driven customer engagement and commercial development since founding.Feasibly is an early-stage UK startup building data and analytics tools for decentralised renewable energy developers. Its core product automates ground mount solar site assessment using a geospatial ML engine, cutting a process that typically takes one to two months down to minutes. The company has completed Innovate UK-backed R&D and is a cohort member of Geovation, the Ordnance Survey and Land Registry accelerator.‍

feasibly website

Beth Holloway LinkedIn

Key takeaways

  • Feasibly's geospatial ML engine cuts ground mount solar site assessment from one to two months down to minutes, at accuracy above human-only analysis.
  • Decentralised renewable energy projects typically connect to the grid in one to two years - faster than utility-scale infrastructure - making them one of the most practical tools for near-term clean energy integration.
  • The UK government's current energy policy sets a target of 20,000 local energy projects. Holloway argues AI-driven automation is a key mechanism for reaching that figure.
  • Geovation - run by Ordnance Survey and the Land Registry - accepts six funded startups per year from hundreds of applicants. Feasibly applied three times before being accepted, and gained direct access to Ordnance Survey dataset developers as a result.
  • Feasibly raised six figures in equity-free grant funding before giving away any equity. Thomson argues this route is systematically undervalued by the startup community, despite delivering comparable capital with no dilution.
  • Thomson and Holloway identify three criteria for choosing a useful advisor: they ask questions before giving advice, they have direct founder experience, and there is a genuine personal rapport.
  • Sector-specific accelerators provide stronger peer networks and more targeted support for later-stage companies. Generalist programmes - like Durham Venture School and Durham City Incubator - are more valuable at the earliest stage, when founders are still developing their direction.

topics covered

  • Explaining geospatial ML to a non-technical audience
  • How feasibly cuts site assessment from months to minutes
  • The three company phases: bootstrapping, R&D, commercialisation
  • How to choose an accelerator - timing, fit, and criteria
  • Durham Venture School, Durham City Incubator, and Geovation compared
  • Equity-free funding versus angel and VC investment
  • Building an angel investor relationship: the Local Energy Systems approach
  • Choosing the right advisors: signals to look for and traps to avoid
  • AI for decentralised energy - opportunity and common misconceptions
  • Greenwashing in green tech and its impact on investment and public trust
  • Working with large incumbents: when to engage and when to walk away
  • Advice for recent graduates considering climate entrepreneurship

Frequently asked questions

What does feasibly do?
What is decentralised renewable energy and why does it matter for net zero?
What is Geovation and how does it support energy startups?
What is the case for equity-free funding at the early stage?
How do you choose the right accelerator programme?
How do you find and choose the right advisors?
What are the risks of greenwashing in the green tech sector?

About Scaling Green-Tech

Scaling Green-Tech by Adopter is a podcast for people shaping the future of climate technology - founders, investors, and ecosystem leaders at the forefront of adaptation and resilience solutions. As part of Adopter’s mission to accelerate the adoption of high-impact climate innovation, the podcast aims to amplify real voices and practical insights that can help others navigate the startup journey. These conversations go beyond the hype to bring real, unfiltered stories - the wins, the roadblocks and everything you need to know in between.

Read the full transcript here
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