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The power grid is critical infrastructure, yet asset failures cost $150 billion annually due to outdated inspection methods like manual checks and helicopters, which fail to detect up to 90% of defects. AI-driven drone inspections offer a faster, more cost-effective, and precise alternative, but adoption remains slow due to concerns about scalability and integration. The OPEN (Outline, Partner, Experiment, Navigate) and CARE (Catastrophize, Assess, Regulate, Exit) frameworks help grid operators implement AI effectively by aligning technology with business needs, fostering collaboration, testing high-impact use cases, and creating structured roadmaps for scaling.

Severe weather events pose a significant threat to power grids, causing extensive damage that can result in prolonged outages and dangerous conditions. The speed at which grid operators can assess damage and prioritize repairs is crucial for efficient restoration. Traditional methods for post-storm damage assessment, however, often involve slow and labor-intensive processes that can delay recovery efforts.

As electricity demands increase and grid reliability becomes more critical, E.ON Energidistribution, one of Sweden’s largest utility companies (E.ON) sought a safer and more efficient way to inspect their power lines. Traditional inspection methods were time-consuming, limited in scope, and often reactive. They needed a solution to analyze vast amounts of drone-captured data, prioritize defects, and support a strategic shift towards preventive maintenance

PiteEnergi, a leading energy provider in Northern Sweden, is addressing the challenges of vegetation management across its vast, remote distribution network. By implementing Arkion’s AI-powered analytics platform, the company is shifting from manual inspections to a streamlined, data-driven approach. This transformation enhances operational efficiency and provides clear, real-time visibility of the grid, making it easier to mitigate vegetation risks.

2024 was a milestone year for Arkion! We rebranded and launched groundbreaking features to enhance grid management. With an exciting roadmap ahead, let’s recap some highlights from this transformative year.

Arkion, a leading provider of AI-powered asset analytics, proudly announces its selection as the sole provider of detailed condition assessments for Elvia. Elvia, one of Norway's largest electricity networks, has chosen Arkion’s platform to enhance inspection and maintenance processes, ultimately driving increased grid reliability and optimization.

Arkion’s asset analytics revolutionizes power grid management by shifting from outdated, reactive methods to predictive maintenance and investment based on real-world data. With the rise of multi-directional energy flow, increasing demand, and extreme weather, traditional models are no longer enough. Arkion’s AI-powered solution uses drone technology to provide detailed, scalable insights, ensuring a more reliable, efficient, and future-ready grid.

Renewable energy costs are decreasing, but grid upgrades are slow and expensive. Electricity demand is expected to double by 2045, driven by data centers, climate change, and EV adoption. To meet the UN's 2050 net-zero target, we need diverse, innovative energy solutions and resilient digital infrastructure. Arkion is part of a global effort to enhance power grids and ensure sustainable energy for the future.

E.On Sweden is one of the largest utilities in the Nordics. They use Arkion as part of routine overhead line inspections. Learn how asset analytics helped them take their maintenance operations into the future.

We’ve relaunched our company as Arkion, to support power grids in the challenge of the energy transition. Read about our AI-powered evolution.

Embark on a journey to fortify grid resilience with our latest exploration into ‘empowering grid resilience...