ON Energy Storage

ON Energy Storage

End-to-end battery storage development with AI

Overview

On.Energy Storage develops and manages turn-key battery energy storage projects for utilities, airports, and commercial & industrial customers from planning through construction to operation and financing. Its core tool, On.Command, is an AI-powered software platform used to design, forecast, control, and dispatch the storage assets, with in-house analytics for real-time optimization. The company emphasizes an integrated, single-point responsibility approach and is technology-agnostic, choosing the best battery and power electronics for each project while handling financing in-house. Its goal is to scale deployment of energy storage across North America and Latin America to cut energy costs, provide grid services, and improve energy management.

About ON Energy Storage

Simplify's Rating
Why ON Energy Storage is rated
C+
Rated B on Competitive Edge
Rated B on Growth Potential
Rated D+ on Differentiation

Industries

Data & Analytics

Energy

Enterprise Software

AI & Machine Learning

Company Size

201-500

Company Stage

Debt Financing

Total Funding

$262.6M

Headquarters

Miami, Florida

Founded

2016

People at ON Energy Storage

People at ON Energy Storage who can refer or advise you

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Simplify's Take

What believers are saying

  • Partnership with Shoals Technologies enables multi-gigawatt deployment of critical power systems for AI data centers across the U.S.
  • AI UPS turns grid compliance into revenue via peak shaving, demand response, and ancillary market participation for hyperscale facilities.
  • Validation at NLR's ARIES platform confirms stability against 100% surges in 10ms, meeting strict grid operator interconnection requirements.

What critics are saying

  • Novel MV AI UPS lacks gigawatt-scale field validation; failure risks project cancellations and margin erosion within 12–18 months.
  • Shoals may develop proprietary UPS or force dependency, capturing AI data center power revenue within 9–15 months.
  • DOE AI risk rules could reject grid-compliance claims due to adversarial AI threats, blocking data center connections within 6–12 months.

What makes ON Energy Storage unique

  • ON.energy's MV AI UPS is the first medium-voltage unit engineered specifically for hyperscale AI data centers.
  • The company combines patented grid-scale power conversion with integrated BESS for zero-voltage ride-through and ERCOT ZVRT compliance.
  • ON.Command™ proprietary AI software enables real-time asset control, forecasting, and dispatch for turnkey energy storage solutions.

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Funding

Total Funding

$262.6M

Above

Industry Average

Funded Over

5 Rounds

Debt funding comparison data is currently unavailable. We're working to provide this information soon!
Debt Funding Comparison
Coming Soon

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Time Off

Paid Holidays

401(k) Retirement Plan

401(k) Company Match

Relocation Assistance

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

-6%

2 year growth

-4%
SolarVision
Apr 26th, 2026
NLR tests AI system to stabilize power grids.

NLR tests AI system to stabilize power grids. * 26/04/2026 The National Laboratory of the Rockies (NLR) has launched a pioneering testing program for ON.energy's "AI UPS" technology, a system designed to bridge the gap between volatile data center energy demands and power grid stability. As hyperscale data centers continue to expand, their rapid power fluctuations pose significant risks to electrical infrastructure. By utilizing the unique ARIES simulation platform, researchers can evaluate how this specialized uninterruptible power supply manages extreme energy spikes and grid disturbances in a controlled environment, ensuring that these massive facilities become "good grid citizens" without threatening local power reliability. The rapid expansion of data centers is placing unprecedented pressure on the power grid, with a single facility often consuming as much electricity as a small city. Unlike traditional urban loads, however, a data center's power consumption can fluctuate wildly in less than a second, creating sharp energy spikes that can destabilize local infrastructure. To address this, ON.energy has developed an AI UPS specifically engineered to manage these compute-driven swings and protect the grid from sudden surges while providing backup during blackouts. To validate this technology, ON.energy is collaborating with the NLR using their Advanced Research on Integrated Energy Systems (ARIES) platform. This facility is unique in the Western Hemisphere for its ability to simulate both a hyperscale data center and a complex power grid simultaneously. This "virtual sandbox" allows engineers to subject the AI UPS hardware to extreme scenarios - such as energy demand surges of up to 100% occurring in millisecond intervals - without risking actual power outages for the public or critical services like emergency response and air traffic control. The testing, which began in early 2026 at the NLR's Flatirons Campus, aims to demonstrate that data centers can maintain steady, reliable loads even at gigawatt scales. Grid operators are increasingly imposing strict requirements on new facilities before allowing them to connect to the system. By proving that the AI UPS can handle grid anomalies, storms, and faults, the partnership seeks to streamline the integration of new data centers while safeguarding the energy supply for nearby businesses, hospitals, and residential areas. Beyond immediate hardware testing, the NLR team is utilizing digital modeling to create computational "building blocks" of energy architectures. This allows researchers to predict how the AI UPS will interact with various technologies, including nuclear facilities and hydropower plants. This multi-year partnership provides a blueprint for future energy management, offering a scalable way to identify and implement solutions for the evolving challenges of global energy demand and the growth of artificial intelligence infrastructure.

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