GridOS, engineered for operations

Bringing GridOS into production requires a strong understanding of utility operations, existing EMS, DMS, and ADMS environments, and the discipline to maintain reliability throughout change.

As a GridOS partner, we support utilities with:

• Leadership across implementation, integration, and operational readiness
• Hands-on experience with transmission and distribution control rooms
• A proven ability to evolve legacy systems without disrupting operations
• A phased delivery model aligned to specific operational needs

GridOS provides a modern foundation for grid operations. Our role is to ensure it fits naturally into operator workflows and system interactions today and as the environment evolves.

We focus on:

• Bringing together operational, enterprise, and external data into a clear and trusted grid view
• Designing cloud and hybrid environments that meet performance, security, and regulatory needs
• Integrating GridOS directly into control room processes rather than positioning it as a separate layer
• Supporting step-by-step adoption that delivers early benefits while enabling more advanced capabilities over time

This approach helps utilities establish a strong operational foundation while remaining adaptable as grid conditions change.

Advanced platforms often struggle to move beyond pilots. Our emphasis is on outcomes that matter to operators and operations leaders.

With GridOS implemented effectively, utilities can:

• Respond more quickly and confidently to grid events
• Reduce manual effort and dependence on individual expertise
• Manage DER-related variability with greater consistency
• Strengthen resilience without increasing control room staffing

By linking GridOS functionality directly to operational use cases, we help ensure improvements are realized quickly and maintained over the long term.

Grid operations continue to evolve. New data sources, applications, and operating models will emerge over time.

Through our GridOS partnership, utilities gain:

• An integration and data foundation that can scale
• Clear operating models and governance for GridOS-enabled environments
• The ability to introduce analytics, automation, and AI in a controlled and operationally safe manner