Company sets sights on one-day appraisal turn-time through next generation technologies and data analytics
TROY, Mich.–(BUSINESS WIRE)–#datascience–Class Valuation, a top nationwide real estate collateral valuation and appraisal management company to the residential mortgage industry, announced the addition of Vijay Taneja as Chief Data Scientist who will be focused on leveraging the company’s technology suite to bolster the industry’s most powerful and accurate collateral risk analysis platform.
Today’s lenders stand in the face of seemingly insurmountable pressure to stay competitive in an ever-changing landscape. In addition, the GSE’s appraisal modernization efforts are well underway and will soon impact every mortgage originator nationwide. The need for accelerated closings while still ensuring data integrity, accuracy, and compliance has never been more important.
Introducing True, Real-Time AI for Collateral Risk Analysis
Class Valuation recently announced its 3D imaging technology, offering more dynamic and accurate measurements, sketches, and 3D property images. This, combined with the company’s proprietary technology suite, allows our appraisers to collect more accurate, consistent, and transparent property data sets than ever before. Now, the company has set its sights on ways to action that data. “At Class Valuation, we believe our computer vision and innovative technology suite will change the way data is utilized in our industry, going much further than traditional collateral risk and valuation models,” said Chief Executive Office for Class Valuation, Mike Detwiler. “By bringing Vijay on board, we will become far more sophisticated in how we think about differences in properties, running powerful analytics against a broader, more holistic data set.”
Vijay Taneja Brings the Experience and Background Necessary to Lead the Charge
Vijay comes to Class Valuation with over 20 years of experience in top-down data architecture and strategy. He most recently spent seven years at Realtor.com where he accelerated company growth through new features and efficiencies informed by deep analytics, A/B testing, innovative machine learning-based data products, and data lake architectures. “Spending the past several years in the real estate industry, I have seen firsthand how data can be harnessed for home value analysis,” said Vijay. “With that said, no one has considered real-time data and advanced technology to create true machine learning tools that drive accuracy. Class Valuation is the only company thinking about the bigger picture, and I look forward to being a part of bringing that picture to life.”
Focused on Customers’ Near- and Long-term Needs
As Class Valuation expands its vision to include data collection and analysis, the existing appraisal management business remains top of mind. Detwiler concluded, “Now more than ever our clients look to us to bring them into the future of property data collection and valuation products. In an industry ripe for innovation, we endeavor to be the guiding light, partnering with all stakeholders, to define a future that is better for everyone. Our number one priority remains our clients’ success. Powerful machine learning is just one way we will continue to support all lenders in the years ahead.”
About Class Valuation
Class Valuation is a top nationwide Appraisal Management Company (AMC), delivering outstanding quality and service to every client. The company is committed to combining the best people, products, processes, and technology available to help lenders make more homeownership dreams come true. Class has consistently been ranked highly in client service by several of the nation’s top ten mortgage lenders and has been recognized as a top place to work, along with receiving many other industry awards.
Connect with Class Valuation
- For more information on Class Valuation, visit: www.classvaluation.com
- For more information on InsideMaps, visit: https://go.classvaluation.com/InsideMapsPR
- Like Class Valuation on LinkedIn: https://www.linkedin.com/company/class-valuation/
- Follow @ClassValuation on Twitter
Contact: Sarah White, 303.906.4136