Investor Overview
The global PV industry installs over 400 GW annually, yet most of the lifecycle — design, construction oversight, operations — still runs on spreadsheets, manual inspections, and fragmented point solutions. xSkylight is changing that.
We came from the field. We spent years designing PV plants, supervising construction, and optimising operations for utility-scale solar assets across Europe and beyond. And everywhere we looked, the same pattern repeated itself.
A design engineer in one office produces a CAD layout. A construction manager on site compares it against reality using a clipboard and a camera—deviations are spotted late, sometimes only at commissioning. Once the plant is handed over, an operations team monitors performance through a SCADA system that has no link to the original design model. When something degrades, a maintenance technician drives out, takes photos, writes a report by hand, and emails it to three different people. Each phase ends where the next begins—but nothing actually connects them.
Every stage of the PV lifecycle is disconnected from the next. Data is trapped in silos. Decisions are made without context. And the industry loses billions each year to design rework, construction delays, undetected faults, and suboptimal operations.
This is not a niche inefficiency. It is a structural gap across a $300+ billion annual market — and it grows wider with every gigawatt installed.
We realised that the PV industry doesn't need another point solution. It needs a platform that connects design intent to construction reality to operational performance — with AI that understands the entire lifecycle.
xSkylight is a modular AI platform that unifies the entire PV lifecycle into one system. Six modules, one data thread, every output auditable.
Our platform is not a collection of disconnected tools stitched together by APIs. It is built from the ground up as an integrated system where design data flows into construction verification, construction data feeds into operational baselines, and operational insights loop back into design optimisation.
The value of our platform is not just in what each module does individually. It is in the connections between them. When the design automation module produces a layout, the autonomous inspection module knows exactly what to look for during construction. When the SCADA system detects an anomaly, it can trace it back to the design parameters and construction records. When the O&M system recommends maintenance, it references the digital twin to predict the impact on plant performance.
This is what we mean by "one AI platform for the entire PV lifecycle." It is not a marketing slogan. It is an architectural decision that creates compounding value at every stage.
Solar PV is no longer an alternative energy source. It is the dominant form of new electricity generation globally. The numbers speak clearly:
Yet the software that manages these assets has not kept pace. The PV software market is fragmented across dozens of point solutions: one tool for design, another for monitoring, a third for maintenance, a fourth for document management. None of them talk to each other. None of them use AI in a meaningful way.
The global market for PV lifecycle software — spanning design tools, SCADA/EMS, asset performance management, drone analytics, and document management — is estimated at $8–12 billion annually and growing at 18–22% per year. This is being driven by three converging forces:
xSkylight is positioned to capture this market not by competing with individual point solutions, but by replacing the entire fragmented stack with one integrated platform.
The energy market is moving rapidly from pure PV to hybrid installations that combine solar, battery storage, and increasingly hydrogen production. This transition multiplies the complexity of asset management — and it multiplies the value of an integrated platform.
A hybrid site needs design tools that understand the interactions between PV arrays and battery systems. It needs an EMS that can optimise dispatch across generation, storage, and demand. It needs O&M analytics that can diagnose issues across multiple technology types. xSkylight is built for this complexity from day one.
Three technology shifts have converged to make this possible:
Computer vision models can now reliably detect defects in thermal images, track construction progress from drone imagery, and extract structured data from engineering documents. Large language models can process unstructured documentation and generate reports that meet engineering standards. These capabilities were experimental three years ago. Today they are production-ready.
Modern edge devices can run inference models on site, enabling real-time detection and control without depending on cloud connectivity. This is critical for remote PV installations where network reliability cannot be guaranteed. xSkylight uses a hybrid edge-cloud architecture that processes time-critical decisions locally and aggregates fleet-level intelligence in the cloud.
For the first time, utility-scale PV developers and operators are actively seeking AI-powered solutions. The combination of growing portfolio sizes, increasing regulatory requirements, and pressure on margins has created genuine demand for automation. We are not creating a market — we are entering one that is actively pulling for our product.
The PV software landscape is crowded with point solutions, but there is no incumbent that offers what we are building. Our advantage comes from four sources:
We are not a consulting firm that builds custom solutions for each client. We are not an AI research lab looking for a problem to solve. We are a product company with deep domain expertise, building software that we ourselves would have wanted when we were designing and operating PV assets.
xSkylight is at the intersection of deep technical development and early commercial engagement:
xSkylight was founded by engineers who have spent their careers in the PV industry. We are not outsiders applying generic technology to energy. We are insiders who understand the workflows, the pain points, and the regulatory landscape from first-hand experience.
Our founding team combines expertise across PV system design, construction management, SCADA engineering, computer vision, machine learning, and enterprise software architecture. We have designed PV plants, supervised construction on site, debugged SCADA systems at 3 AM, and written the maintenance procedures that technicians follow in the field.
This domain depth is our unfair advantage. We build software that solves real problems because we have lived those problems ourselves.
We believe that software for regulated infrastructure must meet a higher standard. Our code is tested, our models are validated, our outputs are traceable. We do not ship features that we would not trust with our own assets. This is not a cultural aspiration — it is how we work every day.
We are headquartered in London, where we benefit from access to the UK's deep talent pool in AI, renewable energy, and financial technology — and proximity to Europe's largest concentration of energy investment firms.
xSkylight represents an opportunity to invest in the operating system for the world's fastest-growing energy infrastructure.
We are raising capital to accelerate platform development, fund pilot deployments, and build our go-to-market team. Specifically:
We are looking for investors who understand infrastructure technology, have patience for enterprise sales cycles, and recognise that the energy transition needs better software — not just more hardware. If you invest in deep-tech companies that solve real industrial problems, we should talk.
We are not just building software. We are building the infrastructure that will power the energy transition. If that resonates, reach out.
