Tigo's AI Becomes a Digital Shield for Ukraine's Battered Power Grid

KYIV, Ukraine – June 24, 2026 – In the ongoing struggle for Ukraine's sovereignty, the energy grid has become a relentless battleground. For millions of civilians and businesses, the hum of electricity is the sound of normalcy, a sound persistently threatened by targeted attacks on critical infrastructure. In this high-stakes environment, a new form of defense is being deployed, one that operates not with steel, but with data. Ukrainian energy giant YASNO has turned to Silicon Valley's Tigo Energy, Inc. and its artificial intelligence platform, Predict+, to fortify the nation's power supply, signaling a pivotal shift in how resilience is built in a conflict zone.

The partnership sees YASNO, which serves over 2.5 million households and 64,000 businesses, integrating Tigo’s advanced AI forecasting software to maintain stability across a grid under unprecedented strain. This isn't a typical corporate software deal; it's the strategic deployment of predictive technology as a tool of national resilience. By analyzing a complex web of variables, Predict+ is helping YASNO anticipate electricity demand with remarkable accuracy, allowing it to navigate the dual threats of volatile weather and the constant, unpredictable specter of infrastructure damage.

A New Frontline for Artificial Intelligence

Managing a modern power grid is already a complex balancing act. Utilities must constantly match electricity generation with consumer demand, a task complicated by weather patterns, industrial activity, and the rising share of intermittent renewables. In Ukraine, YASNO faces these challenges magnified to an extreme degree. The term "unpredictable infrastructure damage" has become a stark, operational reality.

Traditional forecasting models are built on historical precedent and assumptions of a stable, functioning system. They can predict the surge in demand from a winter cold snap but are utterly blind to the sudden loss of a substation or power plant due to a missile strike. These "insults to grid infrastructure," as Tigo's team clinically refers to them, create catastrophic information gaps, making it nearly impossible to balance the grid, prevent cascading failures, and restore power efficiently.

This is the unique problem YASNO tasked Tigo with helping to solve. The challenge was to create a forecasting system that could not only function but excel in an environment where the fundamental rules of grid operation could be violently rewritten in an instant. The collaboration represents a critical test case for the role of AI in what experts are calling "resilience engineering"—designing systems that can withstand and adapt to shocks that would otherwise be catastrophic.

Rewriting the Algorithm for Resilience

At the heart of this initiative is Tigo's Predict+ platform, a neural network-based AI that was fundamentally re-engineered for the Ukrainian context. While the platform already boasted an impressive 97.5% forecast accuracy across its portfolio of over 650 GWh managed for other utility customers, the YASNO deployment required a significant evolution.

"Many of the baseline parameters we use in Predict+ originate from relatively normal grid operations, but for the YASNO team, we had to quickly add data and variables that included disruptions for core grid elements," explained Archie Roboostoff, vice president of software at Tigo. Standard inputs for such a system include historical consumption data, weather forecasts from multiple providers, and real-time conditions like temperature and solar irradiation. For Ukraine, Tigo had to introduce a new, grim category of data.

The platform's neural network was adapted to ingest and learn from large amounts of new information, including live data streams and historical records of grid attacks. This allows the AI to recognize patterns in disruption and model scenarios that go far beyond typical outages. "The Predict+ neural network and data framework allows us to rapidly ingest large amounts of new information... including things like insults to grid infrastructure, and refactor such that the future becomes vastly more predictable," Roboostoff stated. In essence, the AI is learning the brutal physics of a grid at war, turning chaos into a more manageable, predictable dataset. This capability moves the technology from a tool of efficiency to a vital instrument of stability.

From Pilot to Powerhouse

The decision to roll out Predict+ across YASNO's operations was not a leap of faith. It followed a successful and rigorous pilot program in the Dnipropetrovsk region. This area, with its diverse customer base and highly variable weather, was chosen as a demanding testbed for the platform's capabilities even before factoring in conflict-related variables. The pilot served as a proof-of-concept, validating that the AI could deliver on its promise under pressure.

The success of the pilot has given YASNO the confidence to proceed with a broader deployment. Preparations are now underway to configure the system and integrate historical data from across the utility's other service areas, laying the groundwork for a more robust, nationwide forecasting capability. The goal is both tactical and strategic.

"The broader implementation of this platform will continue to improve the accuracy of our hourly electricity demand forecasts and reduce imbalance settlement costs," said Olena Senkina, Head of Electricity Department at YASNO. This statement points to the tangible economic benefits. More accurate forecasting means YASNO can better plan its resource allocation, purchase power more efficiently on energy markets, and avoid costly penalties for mismatches between predicted and actual demand. In a wartime economy, every saved hryvnia is a resource that can be reallocated. "This means better planning, more efficient resource utilization, and an even more reliable service for our customers," Senkina added, highlighting the ultimate mission: keeping the lights on for the people of Ukraine.

A Signal of Broader Energy Fortification

The Tigo-YASNO partnership is more than a single business transaction; it is a powerful growth signal indicating a new direction in energy security. It demonstrates that technological innovation, particularly in AI and data analytics, is becoming a cornerstone of national resilience strategies. For Ukraine, integrating such advanced systems is part of a larger effort to modernize its energy sector, decouple from legacy systems, and align more closely with European standards and markets.

This deployment sends a clear message to the market and to geopolitical observers. For Tigo Energy, it validates the extreme adaptability of its Predict+ platform, creating a powerful case study and a competitive moat in the high-stakes world of critical infrastructure management. The company has proven its technology can perform not just in the "normal" operating environments of the US and Europe, but in the most challenging conditions imaginable. This success is a signal of the company's technical prowess and its potential for growth in a world increasingly concerned with grid security and resilience.

For Ukraine, it is a signal of defiance and determination. By embracing cutting-edge technology, YASNO and the nation's energy sector are not just repairing damage; they are building back stronger, smarter, and more resilient. The ability to maintain a stable power supply amidst relentless attacks is a testament to the ingenuity and resolve of the Ukrainian people and their partners. It shows that even when physical assets are targeted, the digital and intellectual infrastructure of a nation can provide a formidable and enduring defense.

This collaboration is a clear indicator that the future of energy security will be defined not only by physical power plants and transmission lines, but by the intelligence of the software that governs them.