Natasha Jones raises $5M to give renewable assets one data record

Why it matters

Metris is using AI as the application layer over a harder asset-data problem. If Jones can keep that record accurate across solar, wind, storage and CHP, Metris can own the workflows that determine how renewable portfolios operate and earn revenue.

Natasha Jones, the founder and CEO of Metris Energy, has raised a $5 million seed round to turn software built for untangling solar data into a system of record for renewable power producers.

Tech.eu reported the financing on September 21st. PT1 Ventures, Octopus Ventures, AENU and Blackfinch Ventures led the round. Plug and Play and Love Ventures also participated. Metris says the financing brings its total capital raised to $7.5 million.

The investor list closes a neat loop for Jones. Before becoming an energy-software founder, she worked as an algorithmic trader at Credit Suisse and then invested in early-stage fintech and climate companies at Octopus Ventures. Her former employer has now backed Metris twice, co-leading its earlier $2.3 million pre-seed with AENU before joining the new round.

Jones studied Modern Languages at Oxford and later completed a first-class master's degree in international public policy. Her dissertation examined the socioeconomic factors behind solar-home-system adoption in Bangladesh, according to AENU's account of its original Metris investment. That combination of markets, software and energy policy now sits underneath a company trying to make physical power assets legible to both operators and AI systems.

From rooftop solar to an energy data layer

Jones incorporated Metris Energy in London on June 20th, 2023, according to Companies House records, and publicly introduced its original commercial-solar product and pre-seed financing in January 2024. That first pitch covered much of the solar project lifecycle, including assessment, installation, contracts, billing and asset management for commercial property owners.

Metris has since narrowed the immediate problem and widened the eventual market. Solar operators often manage a single portfolio through inverter portals, meters, supervisory control and data acquisition systems, customer databases, finance tools and spreadsheets. Equipment is replaced, projects change hands and meter readings do not always match inverter output. A supposedly simple record of what an asset is, how it is performing and what it earned can fracture across several systems.

Jones is betting that fixing those records creates the foundation for everything built above them. Metris connects operational, metering, geospatial, contractual and market information into a continuously updated record for each energy asset. The product then uses that record for performance monitoring, revenue operations, reporting and workflow automation.

"The unglamorous work is the moat," Jones told Enlit World, referring to the job of translating data from hundreds of vendors into a common model. That is the part of energy software that a general-purpose AI model cannot bypass. An agent can summarize a fault or prepare a work order only after the underlying system has correctly identified the equipment, contract, meter and historical maintenance record involved.

The strategic shift also gives Metris a larger market than its original commercial-rooftop proposition. The new capital will support expansion into wind and combined heat and power systems, along with further battery-storage capabilities and hardware partnerships. Metris also plans to grow in Germany, where Jones says customers still manage substantial distributed-solar portfolios through spreadsheets.

Metria AI puts an agent above the asset record

The funding announcement arrives with Metria AI, an interface designed to investigate faults and prepare operational work that renewable-energy teams previously handled manually.

Metria can draw on energy readings, fault codes, equipment manuals, project information and previous maintenance tickets. It can use that material to diagnose likely causes, recommend next steps and generate work orders. Metris has kept the product advisory for now: an operator must approve an action before it reaches a live portfolio.

That constraint matters in a sector where a confident but incorrect answer can dispatch a technician to the wrong equipment or conceal a revenue-impacting outage. The system becomes more useful as operators approve or edit its recommendations and upload verified reports from work completed on-site. Metris is effectively building a feedback loop between software predictions and physical maintenance results.

Jones says asset managers commonly spend 80% of their time collecting and checking data and 20% analyzing it. The figure has not been independently verified, but the product strategy follows directly from that claimed imbalance. Metria is meant to take on the searching, reconciliation and document assembly before a human decides what should happen in the field.

Metris is entering a market with scaled incumbents

Metris says its revenue grew eightfold over the past year and that its software manages more than 10,000 solar plants representing 500MW of capacity. Those are company-reported figures, and Metris has not published revenue or customer-level data that would allow an independent check.

The plant count suggests Metris has found a use case among operators of distributed portfolios, where thousands of relatively small installations can create a disproportionate administrative burden. The capacity number also shows how early Metris remains beside established renewable-asset platforms.

Power Factors, which Metris names directly on its own comparison page, says its software covers more than 310GW across over 600 customers and 18,000 sites. In April, Power Factors launched an intelligence engine trained on operational data from that fleet, placing a far larger incumbent in the same contest to automate renewable operations with AI.

Metris is approaching the market from a different starting point. Jones wants one record that crosses technical performance, contracts, billing and market participation, rather than an AI feature sitting above a conventional monitoring product. The distinction will depend on execution. Integrations must remain accurate as equipment, ownership structures and revenue models change, while Metria's recommendations must save enough operator time to justify replacing established tools.

The seed round gives Jones room to test that thesis beyond solar and beyond the UK. It also moves Metris into a harder phase: expanding the asset types and countries covered without recreating the fragmented data structures it was founded to replace.