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Optimizing wind energy with robotics, data analytics, and machine learning

Optimizing wind energy with robotics, data analytics, and machine learning

SkySpecs optimizes wind farm operations and maintenance through the use of autonomous robotics, data analytics, and machine learning. Wind farms have significant costs for unplanned maintenance and downtime, resulting in a loss of energy generation and revenue. SkySpecs has developed a platform called Horizon that manages the entire blade inspection and repair process. SkySpecs completely autonomous drones collect repeatable, measurable images of all four sides of all three blades in a single flight with no human input or operation. This data is processed through Horizon and a team of blade experts help prioritize repair planning with farm operators. In 2.5 years, SkySpecs has inspected over 26,000 wind turbines in 17 countries.

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Jonathan Bendes

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Business strategist and technology enthusiast. Let's meet.
Founder SkySpecs • Worked at @University of Michigan • Studied at @University of Michigan
Founder SkySpecs • Studied at @University of Michigan
Total raised

$11M

Funded over

2 rounds

Latest round

Series B (Dec 2017)

Competitive bcbs plans

Maternity and paternity leave