Feasibly raises £200k pre-seed to speed renewables planning with AI geospatial platform
This article covers Feasibly, a greentech startup, and its £200,000 pre-seed funding raise to speed up the planning process for renewable energy projects. The development aims to help energy developers and policymakers by using an AI-powered geospatial platform to shorten site assessment and planning timelines.
Feasibly, a greentech startup founded at Durham University, has raised £200,000 in pre-seed funding to speed up the planning process for renewable energy projects. The company says its AI-powered geospatial platform aims to reduce lengthy manual site assessments that often delay projects — a bottleneck that could slow progress toward the UK’s net zero targets.
Why it matters
Planning friction is a significant barrier to clean energy deployment in the UK. Feasibly points to industry estimates that more than 80% of new renewable projects fail during planning stages, representing around £1.2bn in lost investment each year. Those delays extend project cycles and increase the cost and uncertainty of bringing new capacity online.
If tools can meaningfully shorten the time needed to identify and vet sites, developers and policy makers could move projects from early concept to construction more quickly, helping the UK stay on track with its decarbonisation goals.
Inside the product
Feasibly’s core product is an AI-native geospatial platform intended to replace manual data pulls, spreadsheets and consultant reports. The platform combines spatial datasets with a natural language interface so developers can query site suitability in seconds rather than months. The company says the engine automates risk checks early in the workflow, flagging constraints such as protected land or grid access before large sums are committed.
The startup is already running trials with UK energy developers and plans to use the new funds to double its engineering team and commercially launch the product.
Who are the investors?
Feasibly raised £200,000 through PXN Ventures’ PraeSeed programme, using capital from the Northern Powerhouse Investment Fund II. This pre-seed injection takes Feasibly’s total funding to more than £500,000, including two foundational R&D grants from Innovate UK.
PXN Ventures positions the PraeSeed programme to back early-stage companies in the north of England and to work with founders through initial product-market fit and commercialisation. The capital is earmarked for hiring engineers and accelerating the platform’s market rollout while continuing trials with energy developers in the UK.
In the announcement, Jess Jackson, Investor at PXN Ventures, said:
Solving big problems with exciting technology is foundational for companies who join our PraeSeed programme, and Feasibly was certainly no exception to this. We were excited by the capability of the product, and the demonstration that users are keen to adopt it into their workflows. Beth and Leo are incredibly passionate and driven founders, and we look forward to working with them to change the way planning is delivered.
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Founder perspective
Feasibly was founded by Durham University graduates Beth Holloway and Leo Thomson. The pair frame the company as addressing a practical bottleneck rather than building technology for its own sake.
In the announcement, Leo Thomson, Co-founder at Feasibly, said:
A developer can simply ask, 'Find all 10-hectare plots in the North East, within 3km of a substation, not on protected land,' and get an answer instantly. We’ve built a foundational geospatial engine to automate the development workflow, de-risking projects before millions are spent.
In the announcement, Beth Holloway, Co-founder at Feasibly, said:
We need to scale energy installations rapidly, and that starts with building in the right places. By automating spatial data analysis and communication, key stakeholders in critical infrastructure can communicate instantly. We are building the AI for infrastructure that builds itself.
The bigger picture
Feasibly’s raise sits at the intersection of two broader trends: growing investor interest in greentech solutions that reduce deployment friction, and regional efforts to channel capital into northern UK innovation hubs. Tools that shorten planning cycles can reduce upfront risk for developers and free up public and private capital for more projects.
As the UK and Europe push to accelerate clean energy deployment, solutions that automate repetitive spatial analysis and make due diligence faster could attract more attention from greentech investors and policy makers focused on delivering infrastructure at pace.
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