Skip to content

Virtual Peaker

2 viewers · 30d

Total raised

$1.0M

+$1.0M this year

1 filing since 2026 · latest Debt filed

Cumulative raised
LAST ROUND
Debt · $1.0M
ROUNDS
1
INVESTORS
2
FOUNDED
N/A
HQ
Louisville, KY
SECTOR
Energy
EMPLOYEES
N/A
30D VIEWERS
2

AI overview

Updated

Virtual Peaker is a Louisville, Kentucky software company that sells a cloud-based platform for utilities to manage distributed energy resources and run virtual power plants. Founded in 2015 by Dr. William Burke, its SaaS suites connect behind-the-meter devices such as smart thermostats, batteries and EV chargers so utilities can dispatch them in real time to reduce peak load. The platform combines grid-edge DERMS, customer program engagement, demand forecasting and AI-driven load-shape control in one system. Customers include investor-owned utilities, municipal utilities and electric cooperatives, and the company has raised roughly $32 million, including a 2025 round led by Veriten.

What sets it apart

Rather than selling a single point tool, Virtual Peaker packages device control, customer enrollment and incentives, and load forecasting into one integrated utility platform, so a utility can run a demand-flexibility program end to end -- signing up customers, dispatching their devices, and paying them -- without stitching together separate vendors.

Funding history

1 round
DebtMay 15, 2026
Form D
+$1.0M$1.0M total

Latest SEC filings

via EDGAR · CIK 0001730834
Form D · May 15, 2026NewView on EDGAR

Products

1 tracked

Virtual Peaker Platform

Utility DERMS / virtual power plant software

An integrated cloud SaaS platform that lets electric utilities enroll customers in demand-flexibility programs, control their behind-the-meter devices in real time, forecast demand, and operate the aggregate fleet as a virtual power plant.

  • Real-time control and monitoring of smart thermostats, batteries, EV chargers and other grid-edge devices
  • Automated program enrollment, customer engagement and incentive processing
  • Demand and load forecasting for power purchasing decisions
  • AI-driven dispatch that optimizes distributed resources toward a specified load shape