W
WindESCo
Solutions for optimizing wind farms worldwide
About WindESCo
WindESCo, founded in 2014 by Mohit Dua, operates as a renewable energy performance analytics company. Headquartered in Burlington, Massachusetts, the firm provides solutions to optimize the performance and profitability of wind energy assets. The company targets underperforming assets and high operational expenditures by utilizing an Industrial Internet of Things (IIoT) system that integrates intelligent sensor technology and machine learning. Its clients include independent power producers (IPPs), utilities, asset managers, and investment funds globally. Revenue is generated by offering solutions that have been shown to increase plant revenues by 1% to 7%.
The company has secured total funding of over $30 million through multiple rounds, including a significant Series B round. This funding has supported the expansion of its technology offerings and sales teams to enter the global market. A key milestone was a strategic partnership with ABB, which included a minority stake acquisition, to enhance their combined offerings for wind customers. Founder Mohit Dua transitioned from CEO to Chief Revenue Officer in 2020, with Blair Heavey taking over as CEO to steer the company's growth and market penetration.
WindESCo offers two primary products: Pulse and Swarm. Pulse is an asset health monitoring and performance analytics solution that uses AI-driven analysis of SCADA data to identify and prioritize issues across turbine subsystems. Swarm, a patented technology, enables autonomous and cooperative control of wind turbines. This system allows turbines to communicate with each other in real-time to mitigate wake effects, where the turbulence from one turbine negatively impacts the performance of others. By collectively adjusting their positions, turbines can increase the annual energy production (AEP) of the entire wind farm by 3-5%. The Swarm system is OEM-agnostic and can be retrofitted to existing wind plants. A notable implementation of this technology was at Longroad Energy's Milford I & II wind plants, marking the first commercial full-scale use of wake steering.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2014
- Headquarters
- Burlington, United States
- Employees
- 12
- Open positions
- None listed
- Dealroom signal
- 59.2/100
- Industry
- Energy
- Sub-industry
- Clean Energy, Energy Efficiency
- Sector
- Energy, Predictive Analytics, Wind Energy, Sustainable Development Goals, Climate Tech, Blue Economy, Renewable Energy, Blue Renewable Energy
- Technology
- IoT InternetOfThings
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| LATE VC✓Equity / VC | Jul 2023 | $9M | $50M | Undisclosed | ↗ |
| SERIES B✓Equity / VC | Apr 2020 | $10M | $40M | WAVE Equity Partners | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for WindESCo is 1.5K monthly website visits, up 0% over the last three months. WindESCo's team declined 29.4% over the past year.
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed1 investor entered at this stage
Massachusetts Clean Energy Center
Series A3 investors entered at this stage
- RPRusheen-RWE Commercialisation Partners
Phoenix Contact Innovation Ventures
WAVE Equity Partners
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about WindESCo on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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