Cloover Secures $1.2B Financing, $22M Series A for AI Energy Independence Platform

Cloover has secured one of the largest funding packages in the European energy transition, raising $22 million in a Series A equity round and securing a $1.2 billion debt facility. This brings its total committed capital to approximately $1.22 billion. The investment will enable the Berlin-based company to accelerate its vision of an "operating system for residential energy independence"—a unified platform combining software, financing, and AI-driven decision-making for the fragmented distributed energy market.

The equity round was led by MMC Ventures and QED Investors, with participation from Lowercarbon Capital, BNVT Capital, Bosch Ventures, Centrotec, and Earthshot Ventures. The debt facility, provided by a leading European bank and backed by a €300 million guarantee from the European Investment Fund, is designed to finance customers and installers directly through Cloover's platform.

This blend of venture capital and large-scale credit reflects growing confidence that residential energy assets—like solar panels, batteries, heat pumps, and EV chargers—can be financed and deployed with the same sophistication as traditional infrastructure projects.

Building Infrastructure for a Fragmented Energy Market

Distributed energy is now mainstream across Europe. Households are increasingly adopting on-site generation and storage to cope with rising electricity prices, grid instability, and the growing energy demands of electric vehicles. However, the necessary support infrastructure has struggled to keep pace.

Most small and mid-sized installers still depend on disconnected tools, manual processes, and have limited access to financing. Traditional banks, which are geared toward large commercial projects, find it difficult to underwrite thousands of small residential installations efficiently. The result is often project delays, higher costs, and slower adoption.

Cloover tackles this challenge as a software and systems problem, not just a financial one. By embedding financing directly into installer workflows through a comprehensive digital platform, the company seeks to eliminate the friction that has historically slowed down residential clean energy projects.

AI at the Core of Energy Financing

At the heart of Cloover's platform is an AI-powered credit engine. Instead of relying purely on traditional credit scores, the system evaluates long-term energy savings, projected asset performance, and overall system efficiency to assess risk. This enables financing decisions that better reflect the ongoing economic value of decentralized energy systems.

The platform also offers upfront financing for public subsidies, allowing households to benefit from government incentives immediately instead of waiting months for reimbursements. For installers, this reduces sales friction and boosts conversion rates. For institutional investors, it opens access to a new category of performance-based, impact-aligned infrastructure assets, supported by real-time operational data.

Cloover describes this fusion of AI, software, and finance as the "digital nervous system" for the distributed energy economy—a system that continuously monitors workflows, identifies risks early, and optimizes decisions from installation through long-term energy management.

From Point of Sale to Long-Term Energy Optimization

Beyond financing, Cloover's platform integrates procurement, project management, and energy optimization into a single operating system. Installers can manage projects end-to-end, while homeowners gain access to ongoing energy management tools, including an energy management system and dynamic pricing options.

The company has also launched an AI-powered finance co-pilot to help installer partners manage cash flow across the value chain. By shortening cash cycles and cutting administrative tasks, Cloover states that its installer partners generate, on average, 30 percent more revenue by reaching customers they previously could not serve.

For homeowners, the benefits are clear. Access to financing removes large upfront costs, while optimized system performance can reduce energy bills by 20 to 30 percent, according to the company.

Rapid Growth Backed by Structural Tailwinds

Cloover's rapid growth mirrors the broader momentum for decentralized energy. The company reported more than an eightfold increase in revenue in 2025, remaining profitable while approaching $100 million in sales. It is targeting $500 million in sales volume for 2026 and $1 billion for 2027, highlighting the speed of market expansion.

Several structural trends are fueling this acceleration. Energy demand is surging, partly driven by AI and data infrastructure. Electric vehicles are adding strain to local grids. Meanwhile, European governments are expanding policy support for decentralized energy, and households are seeking more control over their energy costs and reliability.

Cloover's model is designed to operate at the intersection of these trends, serving as the connective layer between manufacturers, installers, households, investors, and public institutions.

The Broader Implications for Energy and AI

Cloover's funding milestone points to a broader shift in energy infrastructure. As systems become more decentralized, software and AI are becoming key enablers of scale. Much like e-commerce platforms standardized online retail two decades ago, platforms like Cloover aim to standardize how energy assets are financed, installed, and managed.

Using AI to underwrite assets based on performance rather than static credit history could reshape capital flows into climate infrastructure. It points toward a future where energy systems are continuously evaluated, optimized, and refinanced using real-world data—lowering risk while speeding up deployment.

Looking ahead, Cloover plans to expand into more European markets, including France, Italy, the UK, and Austria, while enhancing its AI-driven automation and financing products. Its long-term ambition is global: to become the foundational platform powering decentralized energy worldwide.

If successful, this approach could redefine how societies build resilient energy systems—shifting away from centralized, vulnerable infrastructure toward adaptive, software-driven networks where AI plays a central role in balancing capital, consumption, and sustainability.