AI for a more
productive wind industry.
Wind operations are already data-rich. 7OVA exists to make that information easier to use — connecting operational data, documents, inspection media and engineering knowledge into AI systems that support the people running and maintaining turbines.
The wind industry already has the data. The next step is making it operational.
SCADA, maintenance records, inspection imagery, manuals, work orders and engineering knowledge create a large digital footprint around every asset. AI can help teams connect that information, reduce repetitive analysis and support faster, more consistent decisions.
Maintenance-related costs have been cited around this range of total income for onshore wind over a 20-year operating life.
Equivalent cited ranges are higher offshore, where access and downtime can make maintenance particularly consequential.
Modern turbines continuously record operating variables that can support condition monitoring, anomaly detection and performance analysis.
Industry context, not claimed 7OVA customer outcomes. Sources: ISA Transactions (2023), Energies (2020), Reliability Engineering & System Safety (2026).
We build AI around real operating workflows — not the other way around.
Our focus is practical: less manual information handling, stronger decision support and AI systems that can fit into the tools and approval structures teams already use.Modular at the core. Specific to the company.
7OVA maintains reusable AI capabilities for recurring wind-industry tasks. Each customer system is then adapted to its own assets, data, terminology, rules, security requirements and operating environment.
A small team, working directly with the problem.
The founders stay close to customer discovery, technical architecture, validation and delivery.
Şükrü Ergün Eraslan
Customer discovery, operational workflows, product direction and commercial delivery.
Hüseyin Bartu Can
AI architecture, model development, integrations and technical deployment.