The most expensive heat in the world is the heat that escapes through your walls. In the UK, where a leaky housing stock is a primary driver of both energy bills and carbon emissions, finding that heat is a slow, manual, and expensive process. Kestrix is trying to make it as simple as looking at a map.
The London-based startup flies thermal camera drones over neighborhoods, stitching the images together with AI to create what it calls the "Google Maps of heat loss" [Kestrix homepage]. The software then quantifies the energy bleeding from roofs and walls, generating a prioritized retrofit plan for each building. It is a bet on turning a physical inspection problem into a software-defined data layer, and the early customers are the entities with the biggest portfolios and the tightest regulatory deadlines: social housing providers and city councils.
The data layer for a retrofit wave
Kestrix's product starts with a drone flight, but the real product is the software that comes after. The thermal imagery is fed into models that identify specific sources of heat loss, like uninsulated walls or faulty window seals. The output is not just a pretty picture; it is a dataset tagged with estimated energy savings and recommended interventions, from cavity wall insulation to heat pump readiness assessments [Kestrix homepage].
This data-as-a-service model is aimed at a market being pushed by regulation and pulled by economics. In the UK, social housing providers face stringent decarbonization targets, and private landlords must meet minimum energy efficiency standards. Manually assessing thousands of properties is a bottleneck. Kestrix's claim is that its aerial method can survey a hundred homes in the time it takes a surveyor to do one, turning a multi-year planning process into something that can be scoped in weeks [Kestrix homepage].
Early traction with portfolio owners
The company's most public proof point is a partnership with Coventry City Council and energy giant E.ON, where it mapped over 1,800 homes to identify the most cost-effective retrofit opportunities [Manchester Prize, 2]. For a council, the value is in triage: knowing which streets to prioritize for limited grant funding. For a contractor like Wates, listed as an innovation partner, the value is in pre-qualifying leads and streamlining project design [Wates].
Kestrix has also navigated the UK's regulatory environment, completing a sandbox program with the Information Commissioner's Office (ICO) focused on the privacy implications of aerial data collection [ICO]. This is a non-trivial hurdle for a drone-based service, and clearing it suggests a thoughtful approach to a potential adoption barrier.
The team betting on a new angle
The founding team pairs an unconventional background with deep product experience. CEO Lucy Lyons is a lecturer in drawing research, a discipline centered on precise observation and measurement, which she has translated into a method for systematically reading building facades [Tandfonline, 2026]. She is also a Forbes 30 Under 30 lister and a Carbon13 alumni, placing her firmly in the climate tech ecosystem [Carbon13]. Co-founder and CTO Matt Goodridge brings over eight years as a product manager at Google, presumably supplying the software and scalability rigor [Product School, 9].
Their funding is a mix of equity and non-dilutive capital, a common climate tech stack. The company has raised a pre-seed round of at least £500,000 ($610,000) and secured over £340,000 in grants from bodies like InnovateUK [Kestrix].
| Role | Name | Key Background |
|---|---|---|
| CEO & Co-Founder | Lucy Lyons | Lecturer in Drawing Research; Forbes 30 Under 30; Carbon13 alumni |
| CTO & Co-Founder | Matt Goodridge | Former Product Manager, Google (8+ years) |
Where the model meets the real world
The ambition is clear, but the path from mapping to money involves several real-world friction points. The company must prove its data is not just accurate, but actionable enough for contractors to rely on for quoting and for financiers to underwrite projects. The competition is not a direct software clone, but the entrenched, manual alternative: the legion of energy assessors and surveyors who currently own the trust of the construction industry.
- Sales motion. Selling to city councils and large housing associations is a long-cycle, procurement-heavy endeavor. The partnership model with entities like E.ON is a smart wedge, but scaling will require building a repeatable sales engine.
- Data defensibility. The core IP is in the AI models that interpret thermal imagery. The risk is that larger incumbents in geospatial analytics or building management systems could develop similar capabilities in-house.
- Unit economics. The cost of drone flights per home must fall significantly below the cost of a manual assessment for the model to be irresistibly scalable. The grants help subsidize early flights, but the SaaS price point must eventually cover operational costs.
The next twelve months
For Kestrix, the immediate goal is to convert pilot projects into recurring revenue contracts and expand within the UK's social housing and public sector. The hiring for go-to-market roles indicates this transition is underway. A logical next step would be a seed round to fund that expansion, likely from climate-tech or proptech-focused investors. The other milestone to watch is the launch of a self-serve software portal, allowing property portfolio managers to access and interact with their heat loss data directly, moving further up the value chain from a service to a platform.