The solar industry has a quiet productivity problem. Across the world, utility-scale photovoltaic plants are underperforming — not because the sun shines less, but because the operations and maintenance regimes keeping them running were designed for a different era. Fixed inspection schedules. Calendar-driven cleaning. Reactive fault response. As portfolios scale into the hundreds of megawatts, this model buckles under its own weight.
To address these challenges, Areg.AI has developed an AI-driven solar O&M platform that combines advanced analytics, robotics-enabled field operations and data-driven asset management. At Intersolar Europe 2026, taking place in Munich from June 23–25, the company will showcase these capabilities at booth A4.220, highlighting performance improvements achieved across utility-scale PV portfolios.
As Hayk Harutyunyan, Co-Founder and CEO of Areg.AI, puts it:
“Solar has already solved scale. The next challenge is control. Every plant is losing energy in small, invisible ways every day. Our mission is to give solar operators one intelligence system — software, drones, robots, and people working together — so plants can operate closer to their true potential.”
The performance case: 9% more energy from the same sun
The flagship performance figure comes from a third-party deployment: the New Energy Group portfolio in Armenia, operated by Energy Service LLC.
Between 2023 and 2024, the portfolio generated an average of 113.19 GWh annually under conventional maintenance practices based on fixed cleaning and inspection schedules. These activities were carried out according to predefined intervals, regardless of actual operating conditions, equipment status or localized soiling levels.
After deploying the Areg.AI platform, the portfolio achieved a weather-normalized generation increase of more than 9% in 2025, with a further 3.70% projected for 2026. Of that improvement, 7.26 percentage points were attributed to AI-driven soiling detection and targeted cleaning strategies alone. These results will be among the case studies presented by Areg.AI at Intersolar Europe 2026, where the company plans to showcase how AI-based O&M strategies can improve solar asset performance. 
The mechanism matters as much as the number. Drone-based aerial inspections now assess soiling distribution at the zone level, quantify associated energy losses and generate prioritized cleaning tasks. Preventive maintenance is also condition-based, triggered by AI-detected degradation signals rather than fixed schedules.
Energy Service LLC, as the O&M operator of record, independently verifies these results, providing third-party validation of the performance improvements achieved.
The architecture: closing the loop
For the company, most platforms available on the market today function primarily as decision-support tools, identifying anomalies and generating recommendations that still require manual task creation and field execution. 
In this scenario, Areg.AI takes a different approach, combining anomaly detection, data processing, work-order creation and field execution within a single platform. At Intersolar Europe, the company will reinforce the importance of connecting operational insights directly with field actions, reducing the gap between identifying an issue and resolving it.
Unlike conventional systems that route tasks exclusively to human technicians, Areg.AI can coordinate both human teams and robotics-enabled workflows through a fleet of unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs). The platform also supports frequent assessments of soiling, thermal anomalies and electrical deviations through an in-house aerial inspection data pipeline and a multi-protocol IoT integration layer, providing a near real-time operational view of solar plant performance.
Seven robots, one operating system
At Intersolar Europe 2026, Areg.AI will showcase seven robots designed for real solar plant operations:
CBOT for panel cleaning.
SOBOT for inspection and security.
MOWBOT for vegetation control.
SNOWBOT for snow clearing.
ARMBOT for mechanical maintenance.
FIREBOT for fire response.
AIRBOT for aerial inspection.
The important point is not that Areg.AI has robots.
The important point is that the robots are connected to one operating system.
The AI agent at the center
The platform’s AI agent, ARPI, is partially live and expanding. It is currently deployed across the monitoring and maintenance modules of the ERP, two of roughly ten functional sections with rollout across the remainder ongoing.
What ARPI does beyond the base monitoring and dispatch layer is best illustrated by how it is actually used. Rather than navigating dashboards and drilling into raw data, operators increasingly route their plant analysis through ARPI directly. It has access to the full data environment — operational, financial, maintenance history, IoT streams — and synthesizes across all of it in response to natural-language queries. Visitors to Areg.AI’s booth at Intersolar Europe will have the opportunity to learn more about how ARPI supports monitoring, maintenance and operational decision-making across solar assets.
Field adoption tells its own story. In more than half of cases, on-site staff have adopted ARPI as their primary diagnostic reference, finding its answers precise enough to be operationally trusted. That level of uptake at the technician level is a meaningful signal of production-grade reliability.
Access is role-differentiated through approximately 30 discrete permission points. A lender sees financial performance and covenant compliance. An O&M manager sees the full operational picture. A technician sees task-level diagnostics and equipment history. Each role operates within a defined, auditable boundary — a feature that matters increasingly as lender scrutiny of operational data intensifies.
Scaling O&M efficiency: a case study
In early 2025, Areg.AI acquired Energy Service LLC, the operations and maintenance (O&M) company that had served as the proving ground for its platform. The company manages approximately 89 MW of utility-scale and commercial solar PV capacity in Armenia and generates around $800,000 in annual recurring revenue. The acquisition followed demonstrated results rather than speculation: the platform was deployed first, a weather-normalized generation increase of 9.72% was achieved, and the acquisition came afterward.
Beyond expanding its portfolio, the deal aims to address one of the solar industry’s key challenges: scaling O&M efficiently. By integrating Energy Service LLC’s field operations team with Areg.AI’s artificial intelligence, robotics, aerial inspection capabilities and digital workforce management tools, the company has created an operating model designed to improve productivity without a proportional increase in resources. With its current workforce and robotic fleet, Energy Service LLC expects to extend coverage to an additional 100 MW of solar capacity without adding headcount, shifting human teams from manual task execution to the supervision and validation of platform-coordinated and increasingly autonomous workflows.
Going global: Spain, Uzbekistan, and beyond
The 100 MW currently under management sits entirely in Armenia, across three third-party client sites. That is about to change on two fronts simultaneously.
According to the company, the acquisition agreement for a Spanish solar portfolio of approximately 100 MW is scheduled to be signed in June at Intersolar Europe 2026, with integration work already underway. The target is full integration of the existing Spanish portfolio by year-end, alongside 200 MW of additional O&M contracts to be signed concurrently. The commercial model in Spain is fully managed O&M — not a standalone SaaS license or a pure revenue-share arrangement. The service package includes ERP platform integration, robotics-enabled ground operations, vegetation management and aerial thermal data collection by drone where local regulations permit.
At the same time, Areg.AI has recently entered the Uzbekistan market, with platform deployment now underway. Together with its planned expansion in Spain, the Uzbekistan deployment reflects a broader international growth strategy, one of the key themes Areg.AI will highlight during the exhibition. Central Asia represents a significant opportunity for intelligent solar O&M as utility-scale solar capacity continues to expand across the region.
Together, Spain and Uzbekistan reflect Areg.AI’s strategy to expand its integrated O&M model across both mature and emerging solar markets, building on the operational experience gained in Armenia.
What to watch
After demonstrating a more than 9% increase in electricity generation in Armenia through AI-driven maintenance strategies, Areg.AI will use Intersolar Europe 2026 to showcase its digital O&M model to developers, operators and investors. The company argues that the combination of artificial intelligence, drones and robotics can increase energy output while reducing operating costs without the need to add new solar capacity.
Through its participation at Intersolar Europe, Areg.AI is strengthening its presence in the European market and advancing its international expansion strategy by leveraging one of the industry’s leading platforms to demonstrate the capabilities of its AI-powered operations and maintenance solutions. The company aims to position itself as a key player in the digitalization of photovoltaic assets at a time when the sector is increasingly focused on improving the performance and profitability of existing solar plants.
 
Sé el primero en comentar…

source