Plunk recently announced a partnership with Restb.ai, a provider of advanced image analysis. and will be used by Plunk’s new AI-driven Dynamic Valuation Model, according to a company release.
Plunk’s new Dynamic Valuation Model analyzes nearly every home in America and tracks its changing value in real time. Pictures of the home—either available through public property records or simply uploaded from a phone—update the information about the home’s current features, finish quality, and overall condition towards providing much greater accuracy.
“Restb.ai’s capabilities are the best in the industry,” Plunk co-founder and CEO Brian Lent said in the release. “Given the important role that a home plays towards individual wealth building—and the role housing plays in our national economy—this might be the most innovative and important integration of AI, machine learning, and image analysis thus far.”
Residential real estate is the world’s largest asset class—worth over $43 trillion in the U.S. alone. However, much of the public records information about homes is either outdated or incorrect, causing a home’s valuations to be inaccurate, the company stated.
This has been a source of both confusion for homeowners as well as a growing frustration across the residential real estate industry. Plunk provides Realtors with the analytic tools to be precise and provide their homeowner clients with accurate, trusted guidance on their home’s value.
“A real estate professional can learn a wealth of information by looking at a property’s photos, but many of these valuable insights are unavailable at scale or through standard property datasets,” Nathan Brannen, Restb.ai’s chief product officer, said. “Leveraging the details hidden in photos, Plunk allows REALTORS® to create customized, market-specific, and highly accurate valuations in a matter of seconds.”