IT-Communications

Virtual Hangar officially expands Jetstimate

image credit: Virtual Hangar

Virtual Hangar has formally introduced Jetstimate, an AI-powered feature delivering instant aircraft value estimates through simple tail-number searches.

Following a quiet soft launch in November, Jetstimate immediately drew significant attention not only from existing Virtual Hangar members actively booking flights, but from across the broader private aviation ecosystem.

Early engagement came from aircraft owners, brokers, operators, and financial institutions—signalling strong demand for faster, more transparent valuation intelligence in an industry long dependent on opaque, time-consuming appraisal processes.

Much like Zillow transformed residential real estate by making estimated home values instantly accessible, Jetstimate democratises private aviation valuation data.

For the first time, users can view live, estimated market values for private jet aircraft across the United States—free to the public—along with verified aircraft specifications tied directly to each tail number.

This first-of-its-kind valuation engine is powered by more than 9.27 million aviation data points, proprietary AI algorithms, and machine-learning models developed by Virtual Hangar®’s in-house team of data scientists.

The system integrates aircraft attributes, historical market activity, operational trends, and pricing intelligence to deliver real-time valuation insight at a scale never before achieved in private aviation.

Recent advancements in artificial intelligence have significantly accelerated the platform’s accuracy, enabling Virtual Hangar® to solve a problem that had previously remained out of reach for the industry.

Paul M. Svensen, CTO of Virtual Hangar, said: “Virtual Hangar has already attracted interest from leading aircraft-leasing banks seeking faster, data-driven alternatives to costly, time-consuming appraisals.

“Jetstimate™ brings unprecedented speed and clarity to aircraft valuation while maintaining a high degree of precision.”

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