Cost of outages to U.S. customers in 2024. Tripled since 2003.
Oak Ridge National Laboratory / DOE
Decision software for grid operators
Evardi deploys AI agents that sit on top of the systems a utility already runs, pulling fragmented data into one live picture, scoring reliability risks before operators act, and working through the planning so your team makes the final call.
The problem
Cost of outages to U.S. customers in 2024. Tripled since 2003.
Oak Ridge National Laboratory / DOE
of U.S. transmission lines are 25+ years old.
EIA / NERC
of the utility workforce can retire within a decade. The knowledge leaves with them.
U.S. DOE; U.S. Census Bureau
Growth in data-centre demand by 2030, bringing concentrated new load to the grid.
International Energy Agency
How it works
Our models pull fragmented operational data in real time and flag reliability risks before operators act.
Evardi sits on top of the fragmented, siloed systems a control room already runs, reading every format and speaking to each one, so scattered operational data becomes a single live picture of the grid, with no rip-and-replace.
Evardi's models, trained on real grid operations, score outage and reliability risk before operators act, and every score comes with the analysis behind it.
AI agents work through the planning, weighing options and conflicts, so the hard analysis is done and the operator makes the final call.
Platform
Pulls fragmented operational data together as it happens.
ML models flag risks before operators act on them.
The analysis behind how utilities plan and approve outages.
Backs the routine calls that keep a network stable.
Sits alongside what the control room already runs.
Models built on proprietary operational datasets.
Traction
We're always glad to connect with people working on energy infrastructure, grid reliability, or data center power.
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