GridOS
GridOS — AI-native OS for energy networks
We build AI models specifically for energy grid operations. Years of research. Production-ready systems.
Fragmented systems. Slow operations.
Network analysis in one tool. Asset management in another. Planning in a third. Operators lose hours stitching answers together — and decisions wait on data.
Fragmented software landscape
Ten tools, one workflow. Data never meets data.
Data silos slow decisions
Answers wait. So do the decisions that depend on them.
High operational overhead
Hours lost to integration work that never ships value.
Unified operations.
Every workflow in one place. Context-aware agents. Models trained for the grid — not for everything.
Single interface
One screen for every workflow. No tool-hopping.
Context-aware
Agents adapt to your data, role and current task.
Role-specific
Planners, operators and analysts see only what they need.
Scalable. Modular. Secure.
A chat-first interface, backed by a structured data layer and models fine-tuned on grid operations — deployable on your infrastructure.
AI-native interface
Chat, forms and screens generated on demand.
Structured data layer
One schema across every connected system.
Fine-tuned models
Trained on grid operations, not generic tasks.
Role-based access
Permissions enforced at the agent level.
Research-backed. Production-tested.
Built on specialized models, multi-agent orchestration and the open MCP standard.
AI-native
MCP connectorsMulti-agent
OrchestrationSpecialized
Domain modelsLocal
DeploymentFrom demos to deployments.
Partnering with grid operators, DSOs, TSOs and e-mobility networks across Europe.
DSOs & TSOs
Asset management
01Power flow analysis
02Connection processing
03Network planning
04E-Mobility
Site selection
01Capacity assessment
02Connection requests
03Utilization forecasting
04Built for grid operators.
Ready for production.
Partner with us to deploy GridOS in your organization.