Is There a Commercial Market: Six UK Projects Selected to Build Satellite-Powered Climate Services

Key Takeaways

• Six UK projects share £380,000 to build satellite-enabled climate services products
• Carbon markets are rebounding, but credit quality now drives real commercial viability
• Most projects target regulated or grant-funded demand more than open private markets

A Small Fund, A Large Ambition

On 27 March 2026, the UK Space Agency announced the conclusion of its latest Climate Services Call, distributing £380,000 across six early-stage projects. Each company received a relatively modest share of that total, amounts broadly consistent with the precommercial grants the Agency has issued in earlier rounds of the same programme. The announcement frames this investment as part of a broader push to build the UK’s position in what it describes as a global high-growth market for satellite-derived climate intelligence.

That framing deserves examination. The six projects are real, the technologies are legitimate, and the satellite data underpinning them is increasingly accessible and sophisticated. But calling something a high-growth market and demonstrating that a specific product can find paying customers in that market are two different things. This article looks carefully at each of the six projects, what they’re actually building, who the realistic buyers might be, and where the gaps between technological promise and commercial traction are widest.

The Six Projects at a Glance

The funded companies are New Gradient and its partner Calterra, TreeStock, Treeconomy, Amelia Space Technologies, 2Excel Aviation, and Plastic-i. They span woodland survey automation, forest digital twins, carbon credit verification, sustainable aviation fuel supply chain intelligence, hyperspectral remote sensing, and seagrass carbon mapping. The table below summarises each project’s focus and its primary commercial challenge.

New Gradient and Calterra: Automating the Peatland Survey

Edinburgh-based New Gradient has been working on AI models for peatland erosion mapping since its early years. The company developed a deep neural network using transformer architectures to automatically identify and classify erosion features in peatlands from aerial and satellite imagery. This work, initially supported by grants including from Innovate UK, attracted attention from peatland restoration specialists including Caledonian Climate, a Scottish consultancy that manages more than 60 registered Peatland Code projects.

The UK Space Agency grant connects New Gradient to Calterra, a platform specifically designed for peatland carbon monitoring and restoration project management. Calterra brings together landowners, restoration specialists, and carbon credit developers on a shared platform, using drone and aerial imagery alongside AI to map erosion, monitor restoration progress, and support the verification of carbon credits under the UK Peatland Code, which was launched in 2015.

The case for automating peatland surveys is easy to make. Up to 80 percent of the UK’s peatlands are estimated to be in some state of degradation. Current survey workflows depend on ecologists walking terrain, making ground observations, and producing manual assessments that are both expensive and slow. The Centre for Ecology and Hydrology has estimated that 41 percent of the UK’s peatlands have been affected by human activity. Traditional surveys mean that many restoration projects go unmonitored for five or ten years at a stretch, creating significant uncertainty for investors who might otherwise buy peatland carbon credits.

The commercial logic is straightforward at the micro level: reduce survey costs, increase verification frequency, and give carbon project investors more confidence in the numbers. Caledonian Climate’s managing director Freddie Ingleby has framed the goal explicitly as increasing the liquidity and reliability of peatland restoration, attracting private investment to projects that currently struggle to get off the ground. There’s a real bottleneck to solve. The question is whether the paying market is wide enough to sustain a commercial product.

Scotland’s degraded peatlands alone account for an estimated 15 percent of the country’s greenhouse gas emissions. England’s Natural England agency has run its own AI for Peat programme, developed in collaboration with Microsoft and the Department for Environment, Food and Rural Affairs, using deep learning on Microsoft Azure to map peatland features at scale. This isn’t a niche area of technical interest. Public agencies, conservation bodies, and private landowners all have a stake.

The more uncomfortable concern is this: the number of peatland projects that are currently active and funded through voluntary carbon markets in the UK is limited. The UK Peatland Code, despite running for over a decade, supports a relatively modest pipeline of registered projects compared to the scale of the problem. If the customer base for Calterra’s platform is primarily developers of Peatland Code-registered projects, the addressable market is fairly constrained today, even if it’s growing. New Gradient’s AI tools could make the unit economics of each project better. Whether they grow the market overall depends on forces well outside the company’s control, particularly policy on payments for ecosystem services and the appetite of large corporates for nature-based carbon credits specifically linked to UK peatlands.

TreeStock: Tree-by-Tree Intelligence at Forest Scale

TreeStock describes itself as the first platform to create individual tree-level digital twins of entire forest ecosystems at commercial scale, using a combination of satellite and UAV-based remote sensing with AI to generate what amounts to a virtual inventory of every tree in a target area. The company’s pitch to land agents, investment agents, forest managers, and landowners is that they can get highly accurate metrics including timber volume by yield class and estimated growth rate without traditional physical surveys.

The concept of forest digital twins has attracted significant academic attention over the past five years. Deep learning models including PointNet++ and convolutional neural networks have demonstrated accuracy rates exceeding 95 percent in tree species classification using UAV-LiDAR data in controlled studies. TreeStock is attempting to productise this capability at scale, moving beyond research prototypes to something a forestry investment firm can buy a subscription to.

The forestry sector in the UK is undergoing real change. England’s own forestry estate has historically been managed through Forestry Commission surveys conducted on long cycles, and private woodland owners have faced similar gaps in data quality. The UK government’s commitment to tree planting targets, including the goal of reaching 30,000 hectares of new woodland per year across the UK, has created demand for better inventory tools among the developers of new planting schemes. Investors backing woodland carbon projects under the Woodland Carbon Code, which is administered through the UK Land Carbon Registry, need baseline assessments that are both defensible and auditable.

TreeStock is entering a field where it has company. Companies including Planet Labs offer global forest carbon datasets produced from satellite imagery fused with spaceborne LiDAR from NASA’s GEDI mission. Planet’s Forest Carbon Diligence product provides aboveground carbon estimates at 3-metre and 30-metre resolution with quarterly updates. The competitive pressure from large, well-capitalised players with global reach is not trivial.

Where TreeStock appears to differentiate is in the granularity of its individual tree approach and its focus on the UK market, where smaller woodland parcels and mixed species composition make plot-sampling less reliable than in monoculture plantation forests. Whether UK forest managers and investment agents will pay for individual tree digital twins when simpler canopy-level products exist at low cost is far from settled. There’s a plausible commercial case to be made for high-value timber investment portfolios or for woodland carbon projects where per-tree accuracy materially affects credit volumes. A straightforward productivity tool for small landowners with a 50-hectare woodland is harder to price attractively.

Treeconomy: Building Trust into Carbon Numbers

Treeconomy takes a different angle from the others. Rather than building a monitoring platform for landowners, it’s positioning itself as an integrity layer for the voluntary carbon credit market itself. The company’s project, named QUBIST, integrates data from multiple satellite sources with advanced statistical models specifically to quantify and reduce uncertainty in forest carbon estimates, making the credits generated from woodland projects more trustworthy and by extension more valuable to buyers.

Treeconomy’s co-founder Robert Godfrey has been explicit about the market problem the company is solving. Greenwashing scandals involving overestimated carbon credits have repeatedly damaged the sector. Treeconomy uses Encord’s annotation platform to build its computer vision models for tree counting, which it has applied across projects registered under both the Woodland Carbon Code and international standards including Verra’s Verified Carbon Standard. The company has reported being able to count an entire forest in two minutes compared to two weeks using previous methods.

It’s also joined the ESA BIC UK incubation programme, collaborating with the Satellite Applications Catapult and the University of Leicester on satellite-based tree counting integration. Its approach has attracted backing from Barclays’ Rise fintech accelerator, where it participated in a cohort focused on carbon management and climate risk. The company has publicly positioned its credits at premiums of 50 to 150 percent above alternatives, grounded in superior measurement methodology.

The market timing for this work is complicated in ways that matter. The voluntary carbon market contracted sharply between 2022 and 2024. According to Forest Trends’ Ecosystem Marketplace report published in May 2025, transaction volumes in the voluntary carbon market fell by approximately 25 percent in 2024 alone, with total reported transaction value of around $535 million US dollars, down 29 percent from 2023. The market hit its lowest transaction volume since 2018. The drop was partly triggered by a credibility crisis: analyses in 2023 and 2024 suggested that between 50 and 90 percent of certain project types had failed to deliver the emissions reductions claimed, causing market confidence to plummet and the overall market to shrink by an estimated 61 percent from its peak.

And yet there are signals pointing the other way. The same Ecosystem Marketplace report found that credit retirements remained stable, with approximately 182 million tonnes of CO2 equivalent retired in 2024. Removal credits, which include nature-based reforestation and afforestation projects, were on average 381 percent more expensive than simple emissions avoidance credits in 2024, up from 245 percent in 2023. Corporate carbon credit purchases surged 150 percent in the second quarter of 2025 compared to the same period in 2024, according to AlliedOffsets data. The market isn’t dying. It’s sorting itself, and the winners are likely to be exactly the kind of high-integrity, data-verified credits that Treeconomy is building toward.

The uncomfortable truth that sits underneath that optimism is that the market is still small relative to corporate net-zero commitments. There are far more companies with pledges than there are high-integrity credits available to meet those pledges. Whether that translates into a stable commercial pipeline for a UK woodland credit verifier with Treeconomy’s current scale and coverage is something no one can predict with confidence.

Amelia Space Technologies: Satellite Intelligence for Sustainable Fuel

Amelia Space Technologies operates at the intersection of satellite data analytics and one of the most demanding decarbonisation problems in heavy industry: sustainable aviation fuel. The company has developed a geospatial AI platform that allows SAF producers to map available agricultural waste and biomass feedstocks using satellite and ground-level data, optimise where processing facilities should be located relative to feedstock supply, and track how those supply chains evolve over time.

The sustainable aviation fuel sector presents an almost perfect case study in premature market development. SAF is produced from feedstocks including used cooking oil, agricultural residues, and non-food energy crops. It can be used in existing aircraft engines without modification and is widely recognised as the most viable near-term route to decarbonising commercial aviation, given that electric or hydrogen-powered long-haul aircraft remain decades away from commercial operation. The International Air Transport Association has endorsed SAF as central to aviation’s path to net zero by 2050. The UK government has mandated a SAF blending requirement beginning at 2 percent in 2025, rising progressively through subsequent years.

And yet SAF currently accounts for less than 0.1 percent of all aviation fuel consumed globally. High production costs, limited feedstock availability, and insufficient refinery capacity have combined to keep SAF supply well below even the most modest demand projections. The U.S. Department of Energy’s SAF Grand Challenge target of 3 billion gallons per year of domestic production by 2030, with at least a 50 percent reduction in lifecycle greenhouse gas emissions, faces steep hurdles. The European equivalent position is similarly ambitious against a supply base that remains heavily dependent on used cooking oil, the availability of which is geographically concentrated and supply-constrained.

Amelia’s proposition is that satellite data can help SAF producers find feedstocks faster, model supply chain economics more accurately, and reduce the cost of building and optimising new production capacity. The company has run pilots with renewable fuel producers and claims to have demonstrated how Earth observation can support decision-making and reduce costs across aviation’s decarbonisation pathways. It has also applied its platform to environmental hazard detection, including work mapping harmful algal blooms on Loch Lomond ten times faster than conventional analysis, and is exploring port decarbonisation applications.

The commercial question for Amelia is timing. The SAF producers who would most benefit from satellite-enabled supply chain intelligence are, in many cases, still themselves in development. Companies including LanzaJet and Velocys, both operating in the UK and US markets, are navigating the gap between pilot plant operations and full commercial scale. Until that scale is reached, the budget available for sophisticated supply chain analytics tools is constrained. Amelia is building for a market that is real but not yet large enough to sustain many specialist software providers at once.

There’s a longer-range argument that once the UK’s SAF mandate creates reliable demand and investment follows, the need for satellite-enabled feedstock mapping will become pressing. Feedstock competition is already a material concern: multiple SAF producers competing for the same pools of used cooking oil in the same regions is an economic and logistical problem that geospatial data could genuinely help solve. The question is whether Amelia can stay funded long enough to be present when that market matures.

2Excel: Testing Hyperspectral Satellites Against Real Woodland

2Excel Aviation brings a different kind of legitimacy to this cohort. The company, based at Sywell Aerodrome in Northamptonshire, has an established track record in airborne hyperspectral imaging through its 2Excel Geo division. Its client history includes tree risk mapping for Network Rail and invasive species detection for conservation bodies including the RSPB, using its own airborne HySpex platform. Hyperspectral data captures hundreds of narrow spectral bands across wavelengths invisible to the human eye, revealing biochemical properties of vegetation including species identity, disease stress, water content, and nutrient status in ways that standard multispectral satellite images cannot.

What the UK Space Agency grant funded 2Excel to investigate is whether the generation of commercial hyperspectral satellites now coming to market can deliver comparable detail to 2Excel’s airborne instruments at woodland scale. This is a substantive technical question with real commercial implications. If spaceborne hyperspectral can do what airborne hyperspectral does, the cost per hectare drops dramatically and the geographic reach becomes essentially unlimited. If it can’t, then the airborne service model remains necessary for applications requiring fine spectral discrimination.

2Excel’s research found that satellite data could identify the presence of evergreen understory within woodland settings, but that airborne hyperspectral data was needed to specifically identify rhododendron species, a major invasive species management challenge in UK woodlands. That result isn’t a failure. It’s an honest delineation of capability, which is exactly what a precommercial feasibility study is meant to produce. What it does reveal is that the transition from airborne to spaceborne hyperspectral monitoring is not yet complete for the most demanding applications.

Hyperspectral satellites including those associated with the European Space Agency’s CHIME mission scheduled for launch in the late 2020s represent the near-future capability 2Excel was partly evaluating. CHIME in particular has been designed with vegetation monitoring applications in mind and could potentially change the viability calculation meaningfully once operational.

The commercial demand for woodland condition monitoring is not hypothetical. Forestry England, the Woodland Trust, and private estate managers all have active needs for tree health surveys. Network Rail has previously commissioned 2Excel directly for tree risk mapping along railway corridors. The Environment Agency has requirements around invasive species detection. The question is whether a satellite-based service, once the technology is ready, will reach these clients through a commercial product offering or through government procurement frameworks. The latter is where 2Excel’s existing relationships sit, which may actually reduce rather than increase the urgency of building a fully commercial product.

Plastic-i and the Seagrass Carbon Frontier

Plastic-i entered this funding call with a project it has named Sequestra, combining high-resolution satellite and drone data to map seagrass extent across key UK coastal sites, estimate how much carbon is stored in those meadows, and detect damage from boat activity. The company joined the ESA BIC UK incubation programme at Harwell Campus in Oxfordshire in 2022, graduating in 2023. It has previously won the Commonwealth Secretariat’s Hack the Planet competition, securing £10,000 in early-stage funding, and has received backing from Innovate UK for work on harmful algae bloom forecasting in Northern Ireland, collaborating with the Department of Agriculture, Environment and Rural Affairs.

Seagrass is remarkable as a carbon store. Research suggests seagrass meadows can sequester carbon at rates up to 35 times faster than tropical rainforests per unit area. The UK’s coastal waters support substantial seagrass beds, particularly in Wales, Scotland, and parts of southern England. These beds are also under pressure from boat anchoring, coastal pollution, and warming seas. Plastic-i has integrated its prototype models into its own Observatory platform and reports that the work has already attracted interest from multiple organisations for environmental monitoring and carbon assessment applications.

The satellite mapping of seagrass is scientifically challenging. Multispectral satellite missions like ESA’s Sentinel-2 and NASA/USGS’s Landsat 8 have shown capability in mapping benthic habitats including seagrass beds, but water column attenuation, turbidity, sunglint, and seasonal variation all reduce accuracy. Seagrass also spends most of its time submerged, requiring careful atmospheric and water column corrections that add complexity and potential error. The scientific literature acknowledges that direct measurement of seagrass carbon stock from remote sensing data alone is still not fully achievable, making model-based estimation and ground-truth calibration necessary components of any credible carbon accounting product.

The commercial question here is sharper than for some of the other projects. Environmental monitoring services for government agencies and conservation NGOs represent a plausible market, and the 2025 UK Seagrass Symposium demonstrated active interest from a range of public and private organisations in improved monitoring tools. But the more financially interesting prospect, selling blue carbon credits derived from seagrass conservation and restoration, depends on markets that barely exist at commercial scale. Blue carbon, broadly defined to include mangroves, saltmarshes, and seagrass, has attracted growing attention from environmental finance firms and sustainability-oriented corporates. But the methodologies for generating and verifying blue carbon credits are still being developed, the registries that would certify them are still establishing their frameworks, and the number of buyers with the sophistication and appetite to purchase seagrass carbon credits specifically is very small.

Plastic-i’s product is ahead of the market it needs by some margin. That’s not an unusual position for a technology company to be in, and it’s not a criticism of the underlying quality of the work. Seagrass monitoring as a professional service sold to port authorities, marine planning bodies, and government agencies is a more immediately commercial proposition than seagrass carbon credits. Plastic-i appears to be pursuing both, which is a reasonable strategy for a company that needs revenue now while a longer-term market develops.

The Commercial Demand Question

Taken together, these six projects share a structural feature: the primary buyers they’re building toward are either embedded in policy-driven procurement (government agencies, conservation bodies, regulated industries) or dependent on voluntary markets that have shown they can contract sharply when confidence falls. Neither of these is a disqualifying characteristic. Many of the most successful environmental data businesses have built their early customer base on government and regulatory demand before expanding into private sector applications. But it does mean that calling this a simple high-growth private market is a significant overstatement.

The voluntary carbon market’s struggles between 2022 and 2025 are instructive. When the Guardian and academic researchers published analyses in 2023 suggesting that a large proportion of REDD+ forest protection credits issued by Verra had been significantly over-credited, the damage to market confidence was rapid and broad. Transaction volumes in nature-based credits fell sharply even for projects that had nothing to do with REDD+. The reputational contamination was not surgical. Buyers who had been purchasing forest carbon credits stopped, often entirely, while they waited for the dust to settle. Companies building tools to serve that market found their prospective customers suddenly uninterested in expanding their carbon procurement activities.

That wave appears to be passing. The Integrity Council for the Voluntary Carbon Market’s Core Carbon Principles represent a serious attempt to standardise what constitutes a credible credit. Early approval of project types by the ICVCM in 2024 showed a correlation with higher transaction volumes and prices in those categories. The market, as Ecosystem Marketplace’s Charlotte Barber described it in May 2025, is “winding down a legacy market from older methodologies, and scaling up a new phase.” That new phase should be, in principle, highly receptive to tools like those Treeconomy and New Gradient are building. High-integrity credits require better measurement, and better measurement requires exactly the kind of satellite and AI-driven tools this cohort represents.

The harder question, and one that sits uncomfortably between optimism and the evidence, is whether the UK specifically has a large enough forest and peatland carbon market to support multiple commercial platforms serving it. The Woodland Carbon Code and the Peatland Code together underpin a developing but still relatively small domestic carbon market. The UK government’s Environment Act 2021 established biodiversity net gain requirements and set the legislative foundation for nature markets, and the Natural Capital and Ecosystem Assessment work underway within government is building the evidence base for expanded natural capital accounting. These are positive developments. But they move slowly. Five companies building competing or overlapping tools for the same small pool of Woodland Carbon Code and Peatland Code projects is a recipe for market fragmentation rather than growth.

Why SAF Is the Outlier

Of the six projects, Amelia Space Technologies‘ work on sustainable aviation fuel supply chains addresses a market that is not primarily a carbon market at all. SAF is a regulated industrial commodity with mandated purchase requirements, making the demand-side more legally enforceable than voluntary carbon credits. UK airlines and airports are obligated to blend increasing proportions of SAF into their fuel mix under the UK SAF Mandate that came into force in 2025. That creates a non-discretionary market for SAF production, which in turn creates real demand for supply chain intelligence tools that help producers optimise feedstock sourcing.

The SAF supply chain is intricate. Waste-based feedstocks including used cooking oil and agricultural residues are geographically dispersed, seasonally variable, and competing with other bioenergy applications. Woody biomass feedstocks require understanding of forest condition and harvest schedules that satellite data could materially inform. Amelia’s claim that its platform can use Earth observation to map biomass availability and support feedstock supply decisions has a clear mechanism: if a SAF producer can see satellite-derived biomass availability maps across a region, it can choose refinery locations and offtake agreements more intelligently than without that data.

The challenge remains timing. The SAF mandate starts at 2 percent and ramps up over years. At that low blending rate, the feedstock supply chains are relatively simple. The geospatial complexity of feedstock optimisation becomes most acute when demand is large enough that simple procurement can’t meet it, which is years away. Amelia is building for a version of the SAF market that doesn’t fully exist yet. That said, it’s building with pilots already underway with renewable fuel producers, which puts it ahead of most precommercial tools in terms of market validation.

What Planet-Level Competition Means for Small UK Startups

One factor that doesn’t appear in the UK Space Agency’s announcement but that shapes the commercial prospects of every company in this cohort is the competitive pressure from very large, well-capitalised global providers of satellite-derived environmental data. Planet Labs, a San Francisco-based earth observation company, operates a constellation of over 180 satellites and offers forest carbon data products with global coverage, quarterly updates, and transparent pricing. Google’s Earth Engine platform provides free access to decades of Landsat and Sentinel data alongside significant processing infrastructure, accessible to anyone with a developer account. Microsoft’s Planetary Computer initiative has similarly made large volumes of geospatial data available at low or no cost.

Against that backdrop, a UK startup building satellite-derived tools for forest carbon or peatland monitoring can’t compete on data coverage, computational scale, or price per tonne of carbon assessed. The realistic competitive advantages are specificity, domain expertise, and local market relationships. A company that understands the Woodland Carbon Code verification process intimately and can position its satellite data analysis output as directly aligned with the auditing requirements of that specific code is more useful to a UK developer than a generic global dataset. A company with existing relationships with Scottish estate managers and conservation bodies can sell its services into procurement processes that don’t go through open tender.

That’s a viable position, but it’s a different claim than building a global high-growth satellite climate services business. It’s building a specialised, regionally focused professional services business that happens to use satellite data. The distinction matters for investment appetite and for the expectations attached to what a £380,000 government grant can seed.

The Trust Infrastructure Problem

Several of these projects, particularly Treeconomy, New Gradient, and Plastic-i, are attempting to solve what might be called the trust infrastructure problem in environmental markets. Carbon credits, biodiversity units, and blue carbon tokens all require buyers to believe that the underlying ecological claim is real, measurable, and durable. Satellite data and AI models are being positioned as the technical foundation for that belief.

But trust in environmental markets is built through a combination of technical rigour and institutional legitimacy. Technical rigour means the models are accurate and the uncertainty is transparently characterised. Institutional legitimacy means that verified standards bodies, independent auditors, and credible registries stand behind the claims. The companies in this cohort can contribute to the technical rigour side. The institutional side is governed by bodies including the ICVCM, the Woodland Carbon Code secretariat, the Peatland Code, and, for blue carbon, the emerging frameworks being developed by Verra and the Gold Standard.

A satellite-derived biomass estimate produced by Treeconomy is only as useful as its acceptance within a credible verification framework. If the Woodland Carbon Code doesn’t yet formally accept multi-satellite statistical models of the type Treeconomy is developing as a permissible verification method, then the product is ahead of the regulatory infrastructure that would make it commercially actionable. This isn’t speculative. The Woodland Carbon Code’s Forest Carbon Assessment Protocol has specific methodological requirements, and new satellite-based methods require formal approval before they can be used in project verification. Getting that approval takes time and requires engagement with the code secretariat in a way that a precommercial grant-funded project can begin but cannot complete.

Demand That Doesn’t Yet Have a Price

Of all the commercial uncertainties across these six projects, the one worth examining is seagrass. Plastic-i’s Sequestra project is technically sound. Seagrass is ecologically important. The satellite mapping challenge is real and being actively pursued by academic groups globally, including researchers working with ESA’s Sentinel missions and with Google DeepMind’s AlphaEarth Foundations model. The scientific community has developed reasonably sophisticated frameworks for estimating seagrass carbon stocks from remote sensing proxies, acknowledging that direct measurement from space alone is still limited by water column interference.

But who pays for seagrass carbon monitoring today? The answer is mostly public bodies, academic institutions, and a small number of conservation NGOs. Marine planning authorities in Wales, Scotland, and England have regulatory obligations around protected habitats that seagrass mapping could support. Natural Resources Wales and NatureScot both have interests in coastal habitat monitoring that could theoretically be served by a Plastic-i subscription. The Environment Agency’s water quality monitoring work touches on seagrass health as an indicator of coastal ecosystem condition.

The blue carbon credit market that would represent the most financially significant demand for Plastic-i’s carbon estimation tools is progressing, but slowly. The 2025 UK Seagrass Symposium covered blue finance and seagrass tokens as active areas of discussion, but discussion is several steps removed from a functioning market with price discovery, standardised methodologies, and corporate buyers. Voluntary carbon markets’ recent credibility crisis extended to blue carbon projects, with buyers becoming cautious about any nature-based credit category that lacked rigorous, independently verified measurement. Ironically, that caution is precisely the gap that Plastic-i’s Sequestra project is positioned to fill. Getting from positioned to fill to actively filling requires buyers who are ready to transact, and that readiness is not yet widespread.

The Precommercial Moment and What Follows

All six of these projects received precommercial funding, meaning the UK Space Agency is explicitly not claiming it has funded finished products ready for private markets. It’s funding the development of ideas that have enough plausibility to warrant structured investigation. By this measure, the programme’s selection criteria appear sound. Each of the six projects addresses a real environmental data problem with a technically credible approach, and each company has some relevant prior track record, whether through earlier grants, academic collaborations, or commercial pilots.

Where the programme’s framing is worth scrutinising is the implication that these precommercial investments are steps along a clear path toward commercially viable climate services. That path exists, but it’s longer and less certain than the announcement suggests. Moving from a UK Space Agency-funded prototype to a product that generates significant private sector revenue requires solving problems that satellite data quality and AI model sophistication can’t address alone: regulatory acceptance of new methodologies, growth in the underlying carbon and nature markets, the willingness of private buyers to pay a premium for higher-integrity environmental data, and the development of new institutional frameworks for blue carbon and biodiversity credits.

The UK government has created the legislative environment for these markets to develop through the Environment Act 2021 and the ongoing work of the Natural Capital Committee. The British Standards Institution’s updated space sustainability standards, published in March 2026, reflect continuing investment in the infrastructure of the UK space economy. Demand is growing. The six projects funded by this call are not chasing a fiction.

The more pointed observation is that five of the six projects, all except Amelia, are substantially dependent on the health of the voluntary carbon and nature markets. Those markets are recovering but remain far smaller and more fragile than their boosters typically acknowledge. The projects with the clearest path to near-term commercial revenue are those, like 2Excel, that already have paying clients in adjacent markets and are testing whether satellite data can extend their existing service offerings, and Amelia, which is addressing a legally mandated industrial market rather than a voluntary one.

For companies like Treeconomy, TreeStock, New Gradient, and Plastic-i, the journey from receiving a precommercial grant to generating meaningful commercial revenue is less a technical challenge than a market development challenge. The technology works, or will work once refined. The question is whether enough buyers exist, with enough budget, confidence, and regulatory framework behind them, to make building around that technology commercially sustainable.

Summary

The UK Space Agency’s £380,000 Climate Services Call investment, distributed across New Gradient and Calterra, TreeStock, Treeconomy, Amelia Space Technologies, 2Excel, and Plastic-i in March 2026, represents a coherent use of precommercial funding. Each project is addressing a real problem in environmental data, satellite capability, and climate-related commercial services. The technologies are real and the market directions are credible.

What the announcement understates is the gap between the existence of a market direction and the existence of a paying customer base ready to support commercial products at scale. Four of the six projects depend primarily on the voluntary carbon and nature markets, which contracted sharply between 2022 and 2025 due to credibility concerns, are now recovering, but remain uncertain in size and trajectory. One, Amelia Space Technologies, is better positioned because it addresses a legally mandated fuel market rather than a voluntary one. One, 2Excel, is building on an existing commercial track record and testing whether satellite technology can extend capabilities it already sells.

The broader claim that the UK is positioning itself at the forefront of a global high-growth market for satellite-enabled climate services may yet prove correct. But the companies funded by this call will need more than satellite data and AI models to get there. They’ll need carbon markets that continue to mature, regulatory frameworks that formally accept new verification methodologies, and corporate buyers willing to pay a real premium for integrity. None of that is impossible. None of it is guaranteed either.

Appendix: Top 10 Questions Answered in This Article

What is the UK Space Agency’s Climate Services Call?

The UK Space Agency’s Climate Services Call is a competitive grant programme that distributes precommercial funding to early-stage companies developing satellite-derived environmental and climate data services. The latest round, concluded in March 2026, awarded a combined £380,000 across six projects focused on woodland monitoring, peatland survey automation, carbon credit verification, sustainable aviation fuel supply chains, and coastal habitat mapping.

Who are the six companies that received funding in the 2026 Climate Services Call?

The six funded organisations are New Gradient working with Calterra, TreeStock, Treeconomy, Amelia Space Technologies, 2Excel Aviation, and Plastic-i. Each company uses satellite data and AI in a different way, addressing market segments that range from peatland restoration project management to seagrass carbon assessment and sustainable aviation fuel feedstock mapping.

What is the voluntary carbon market and why does it matter for these projects?

The voluntary carbon market is a system in which companies and organisations voluntarily purchase carbon credits representing emissions reductions or removals, typically to meet net zero or carbon neutrality goals. Four of the six funded projects build tools that serve buyers and sellers in this market. The market contracted by approximately 61 percent from its peak before beginning a recovery in 2025, making the timing of commercialisation for these projects closely tied to the market’s continued stabilisation.

What did the voluntary carbon market’s credibility crisis involve?

In 2023 and 2024, analyses and investigative journalism revealed that between 50 and 90 percent of certain carbon credit project types had failed to deliver the emissions reductions claimed, causing buyers to lose confidence and credit transaction volumes to fall sharply. This prompted a shift toward high-integrity credits with stronger measurement and verification, creating both a challenge and an opportunity for satellite-based carbon monitoring companies.

What does Amelia Space Technologies do differently from the other five projects?

Amelia Space Technologies addresses the sustainable aviation fuel supply chain rather than carbon credit markets, using its geospatial AI platform to map agricultural waste and biomass feedstocks available to SAF producers. Because the UK SAF Mandate creates legally enforceable blending requirements beginning at 2 percent in 2025, the underlying demand for SAF is regulatory rather than voluntary, giving Amelia a structurally different and potentially more stable demand base than the other five funded companies.

What is the technical challenge of mapping seagrass from satellites?

Seagrass spends most of its life submerged in coastal waters, which introduces significant complications for satellite remote sensing including water column attenuation, turbidity, sunglint, and seasonal variation in water clarity. Multispectral satellite missions including Sentinel-2 and Landsat 8 have shown capability in mapping benthic habitats, but direct measurement of seagrass carbon stock from space alone is still not fully achievable without complementary model-based estimation and ground-truth validation.

What does 2Excel Aviation’s hyperspectral research reveal about satellite capabilities?

2Excel’s investigation found that satellite hyperspectral data could identify the presence of evergreen understory in woodland, but that airborne hyperspectral imagery was still required to specifically identify invasive rhododendron species at a level of precision useful for management decisions. This result defines the current technical boundary between spaceborne and airborne hyperspectral capability for woodland condition monitoring, indicating that more demanding applications still require airborne platforms.

Why do these climate services companies face competition from large global players?

Companies including Planet Labs offer global forest carbon datasets derived from satellite imagery fused with LiDAR data, available at multiple resolutions with quarterly updates. Google Earth Engine provides free access to decades of Landsat and Sentinel data. These large platforms create a pricing and coverage ceiling that UK startups cannot match directly, meaning the viable competitive positions are domain specificity, local market relationships, and alignment with UK-specific code requirements such as the Woodland Carbon Code.

What regulatory frameworks govern nature-based carbon credits in the UK?

The Woodland Carbon Code, administered through the UK Land Carbon Registry, and the UK Peatland Code, launched in 2015 under the IUCN UK Peatland Programme, are the primary frameworks for generating verified carbon credits from forestry and peatland restoration respectively. The Environment Act 2021 established broader legislative foundations for biodiversity net gain markets in England. New satellite-based verification methods require formal approval by the relevant code secretariats before they can be used in project verification.

What is the realistic commercial path for these six projects beyond the grant period?

Companies with existing commercial relationships in adjacent markets, such as 2Excel’s tree risk mapping work for Network Rail, have the clearest near-term path because they can test whether satellite capability extends services they’re already selling. Companies addressing legally mandated markets, such as Amelia Space Technologies in the SAF sector, have demand-side certainty. Companies depending primarily on voluntary carbon market growth, including Treeconomy, New Gradient, TreeStock, and Plastic-i, face a longer and less predictable path that hinges on the carbon market’s continued maturation, regulatory acceptance of new methodologies, and sustained corporate appetite for high-integrity nature-based credits.