July 2, 2025

What began with automotive inspections is now a scalable, vertical-agnostic platform ready to serve any complex asset: aircraft, fleets, heavy machinery, property - you name it.

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June 13, 2025

The Canadian digital wholesale auto auction has partnered with U.S.-based inspection technology provider Click-Ins, integrating its AI visual intelligence tech directly into the Otolane’s platform. The companies said the collaboration enables dealers to conduct more thorough, consistent and accurate vehicle inspections before listing vehicles for wholesale trade.

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March 27, 2025

In an era of rapid technological transformation and shifting mobility landscapes, rental car companies find themselves at a critical crossroads. Unlike historical norms, rental car companies have far less OEM program cars and far more at risk cars. While traditionally it was sufficient for these businesses to operate with a rental only mindset — focused solely on catering to their rental arm —today, that will simply not suffice. Rental car companies must acknowledge that now more than ever they participate in the buying and selling of vehicles.

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January 29, 2025

Two of the automotive industry’s leading innovators, Click-Ins and Auto3P, have partnered to deliver a transformative solution for vehicle damage detection and cost estimation. This partnership unites the expertise of Click-Ins, known for its unparalleled AI-powered damage detection technology, with the extensive parts, labor catalog and automated cost estimation solutions of Auto3P, creating a powerful end-to-end solution for insurers, OEMs, Marketplaces, and fleet and rental managers.

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December 11, 2024

AutoAcquire AI is excited to announce a strategic partnership with Click-Ins, a next-generation vehicle condition platform. This collaboration is set to revolutionize the way dealerships acquire and assess used vehicles, combining cutting-edge AI with advanced analytics to improve accuracy, efficiency, and profitability.

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November 18, 2024

AI solutions are everywhere, promising to transform industries with automated insights and intelligent problem-solving. However, many AI models falter when it comes to practical applications like vehicle damage detection. Their limitations often lead to incomplete or inaccurate results, undermining their effectiveness. Worse, some suffer from "hallucinations"—moments when the model generates incorrect or irrelevant outputs that have no basis in reality. These are serious gaps, especially in high-stakes industries like automotive and insurance.

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