AiDash

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AiDash is a climate tech startup that provides solutions to optimize and digitize operations and maintenance for critical infrastructure such as electricity, gas, and water networks. The company utilizes a combination of high-resolution satellite imagery and artificial intelligence (AI) models to identify potential risks to power lines from vegetation growth, encroaching trees, and weather events. Its technology helps utility companies prevent wildfires caused by vegetation overgrowth, enhance grid reliability, and improve maintenance cost efficiencies.

AiDash's AI models scan satellite images to detect changes or issues along electric transmission lines, enabling timely interventions. The company claims its technology can reduce the number of vegetation-caused power outages during storms by 15%, boost grid reliability by 5% to 15%, and improve operations and maintenance cost efficiencies by 10% to 20%. AiDash's solutions also assist companies in complying with biodiversity reporting regulations, such as those in the UK.

Major utility companies like National Grid US Service Company Inc. have reported measurable improvements in reducing the number and duration of outages since using AiDash's tools to identify maintenance priorities. The company's technology has been adopted by over 150 customers worldwide, including several Fortune 500 investor-owned utilities in the US, Canada, and the UK.

In January 2024, AiDash secured USD 50 million in Series C funding led by Lightrock, reflecting Silicon Valley's efforts to develop products that help energy companies adapt to climate change. The funds will be utilized to expand the company's reach, including the establishment of a European headquarters. In May 2024, AiDash raised an additional USD 58.5 million in a Series C round led by Lightrock and Lightsmith Group, with participation from strategic investors such as Marubeni Corporation, Duke Energy, National Grid, and Edison International.


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Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
3031 Tisch Way San Jose CA USA
Founded year:
2019
Employees:
251-500
IPO status:
Private
Total funding:
USD 91.5 mn
Last Funding:
USD 58.5 mn (Series C; Jan 2024)
Last valuation:
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