For three years, Natasha Jones was an investor on Octopus Ventures' climate and fintech teams, spending her days screening energy startups. She was hunting for one specific company: a software layer that could sit across a renewable portfolio and show its owner, in real time, what every panel, inverter and contract was actually earning. After three years of looking, she concluded nobody was building it.
So she left to build it herself.
Her company, Metris Energy, raised $5 million in seed funding on 21 September. Berlin-based PT1 Ventures led the round. Octopus Ventures and AENU, both returning backers, joined alongside new investors Blackfinch Ventures, Plug and Play and Love Ventures. Metris has now raised $7.5 million in total, following a $2.5 million pre-seed in January 2024.
The gap Jones left Octopus Ventures to fill
A renewable portfolio generates data everywhere and agrees on almost none of it. One solar site can report through inverters, revenue meters, a supervisory control system known as SCADA, weather feeds, an operations-and-maintenance (O&M) ticketing tool and a finance system. Each carries its own format. Each carries its own version of the truth.
Jones put the problem to Dealroom in a single line. "Energy asset data lives in many places and none of them agree."
The cost of that disagreement is not cosmetic. When generation, downtime and contract terms sit in separate systems, an owner cannot see which sites are underperforming, why, or what the shortfall costs in cash. That is exactly the information an infrastructure investor needs to price an asset and to hold the operator accountable for it. Spreadsheets bridge the gap for a handful of sites. They collapse at fifty.
Metris Energy seed funding
Led by PT1 Ventures; total raised now $7.5M. · Tech.eu, 2026
What Metris actually monitors
MetrisOS is the company's answer. The platform pulls inverter, meter, SCADA, customer-relationship and billing data into one record per asset, then layers automation on top: real-time performance monitoring, automated O&M tickets, and instant billing for power-purchase agreements (PPAs) across solar and battery-storage sites.
The traction is small but concrete. Metris says it monitors more than 10,000 solar plants and 500 megawatts of capacity. Revenue is growing roughly eightfold year over year, according to the company. About 20 people work from its base in Clerkenwell, London.
Assets on MetrisOS
Across Europe, alongside 500MW of monitored capacity. · Company disclosure, 2026
The funding lands with a new product. Metria AI is an agentic interface built to execute the tasks operations teams handle by hand today — chasing a fault, flagging underperformance, rescheduling maintenance. Jones frames the coming year as the step from a tool that suggests actions to one operators trust to carry them out.
Metris sells the layer that measures and monetises every kilowatt-hour a portfolio produces.
Its $5M bet is that the long tail of small operators, not the giants, decides the category.
The asset-management layer is consolidating
Metris is not walking into an empty field. Power Factors, an incumbent in renewable portfolio software, launched Unity REMI in April — an AI layer trained on operational data from more than 310 gigawatts of assets. Quintas Energy, an independent asset manager, chose Box in July to build an AI-ready content platform. Octave Energy sells battery storage and an energy-management system into commercial sites.
Those rivals carry scale and enterprise sales teams. Metris is betting on the long tail: the hundreds of small installers and project funders that own a handful of sites and cannot justify a six-figure contract. The pitch is that a unified data layer plus an AI agent replaces the spreadsheets and point tools those operators rely on now.
| Approach | Typical user | Data scope | Weak point |
|---|---|---|---|
| Spreadsheets and point tools | Small installer or owner | Single site | No portfolio view |
| Enterprise asset platforms | Utility-scale fund | Hundreds of gigawatts | Cost and slow onboarding |
| MetrisOS | Long-tail operator | 10,000+ distributed sites | Unproven at scale |
Market structure from vendor and company disclosures, 2026
I wanted to invest in energy tech companies shaping the future, but after three years I realised no one was building what I wanted, and I thought I'd find someone doing it. That was the genesis for me leaving.— Natasha Jones, co-founder and CEO, Metris Energy
What O&M software does to portfolio returns
The return on a renewable asset turns on three variables: how much it generates, how often it stops, and what the contract pays. Curtailment — the grid telling a plant to stop exporting — and unplanned downtime hit the first two directly. On a utility-scale site, a few percentage points of lost availability can move the levelized cost of energy (LCOE, the average cost per unit of power over a plant's life) enough to change whether a project clears its hurdle rate.
Software adds no capacity. It shortens the gap between a fault and a fix, and it makes the financial consequence of that fault visible. As we wrote in September, the contract itself is becoming the asset in battery storage. Metris extends that logic one layer down: before a contract can function as an asset, the data behind it has to be trustworthy.
For a fund holding dozens of distributed sites, the aggregate effect of faster detection is the difference between a portfolio that meets its modelled yield and one that quietly misses it. That gap is where the software layer earns its fee.
The market is large enough to matter. Octopus Ventures estimates the UK commercial property sector alone holds a £22 billion solar revenue opportunity, most of it unbuilt because owners cannot model the return with confidence.
Who buys this software, and why now
The buyer is rarely the developer. A utility-scale developer sells a project once it is built and moves on to the next one. The durable customer is the owner-operator and the O&M firm that has to run the asset for twenty years and answer to whoever financed it. That is a different sales motion: smaller tickets, longer relationships, and a funnel that runs on references.
Distributed solar and storage have crossed from a subsidy story into an infrastructure story over the past three years. Once a portfolio is held for yield rather than for a tax credit, operating performance stops being a footnote and becomes the return. Monitoring, billing and maintenance data move from back-office overhead to the thing a fund manager checks weekly.
That shift explains why capital is arriving now, and why it is arriving small. The category is young enough that a $5 million round can still buy a credible position in one geography.
From solar to wind, CHP, and Germany
Metris started on solar. The new capital pushes it into wind and combined heat and power (CHP) systems, and into Germany as its first major market outside the UK. Both moves widen the data problem the platform was built to solve. Wind adds more variable generation. CHP adds a second commodity. A new market adds a fresh set of grid rules and contract structures.
The company will need to prove the model travels. Distributed energy assets are local by nature, and the operators Metris wants to serve buy software the way they buy hardware: slowly, and on references.
Will the software layer decide who wins the energy transition?
Probability: 60% — the data layer is hardening into infrastructure, but today's vendors remain small and the incumbents hold distribution.
✅ Arguments for
AI agents can act on that data, not just display it — a step change in what operators will pay for.
Fragmented ownership means no single incumbent captures the long tail by default.
Confirmation criteria: multi-year contracts with independent power producers and O&M firms, plus a competitor acquisition.
❌ Arguments against
Asset owners resist switching systems that already hold their billing history.
A $5 million round funds a European expansion, not a global category winner.
Disconfirmation criteria: slow seat growth, price pressure from incumbents, or a pivot away from software.
Development scenarios
🟢 Optimistic scenario (25%)
Implications: the company becomes an acquisition target for a platform or a fund, at a premium to its round.
🟡 Base-case scenario (50%)
Implications: a solid, cash-generative niche business rather than a category winner.
🔴 Pessimistic scenario (25%)
Implications: consolidation at a low multiple, or an acquihire.
Metris's disclosed plant and megawatt counts in future updates
Whether Metria AI moves from recommendations to autonomous action
Incumbent pricing moves from Power Factors and its peers
German contract announcements through 2027