Evardi
Evardi provides AI agents that unify utility grid data into a live digital twin, enabling operators to plan outages, load transfers, and switching with reliability-risk scoring. The platform runs on existing SCADA, meter, billing, and GIS data—no new hardware—and claims 63% more customers restored per storm drill. Every recommendation is physics-checked and requires operator approval before action.
- AI Agents
- Energy
- Artificial Intelligence
- Utilities
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Grid operators face increasing complexity from aging infrastructure, with 70% of U.S. transmission lines over 25 years old, a projected 50% workforce retirement within a decade, and doubled data-center demand by 2030. Fragmented, siloed operational data makes it difficult to assess reliability risks and plan effectively in real time.
Solution
Evardi deploys AI agents that sit atop the systems utilities already run, unifying scattered operational data into a single live picture of the grid. The platform builds a real-time digital twin of the network—solved with power flow—calibrated to each utility's own data, then uses agents to check outages, switching, and load requests against that model. It scores reliability risks before operators act and employs planning agents that weigh options and conflicts, completing the hard analysis so the operator makes the final call. It functions as a compatibility layer, reading every data format and speaking to each existing system without requiring rip-and-replace. This approach supports day-to-day decision support, outage coordination analysis, and real-time data integration for control rooms.
Target Audience
Primary customers are utility grid operators and control-room teams responsible for transmission and distribution network stability, particularly those managing aging infrastructure and planning for workforce turnover.
Features
- Real-time digital twin built from GIS, SCADA, meter, billing, and weather data, solved with power flow hour by hour
- Virtual meters on every transformer, learned from existing data and checked against SCADA feeder-head measurements, with hourly error bands
- Reliability-risk scoring that quantifies potential issues before operators take action
- Outage pre-checks, load-transfer validation, growth planning, wildfire rerouting, and cold-weather calculations
- Switching step-check and storm-restoration agents that validate each step against the live network model
- Compatibility-layer architecture that works alongside existing control-room systems with no rip-and-replace or new sensors required
- Operator-in-the-loop workflow: every plan requires approval, sign-off, and step-by-step release to crews, with all actions logged
- Data isolation: each utility's data never trains a shared model; encrypted in transit and at rest; SOC 2 Type II underway