ABOUT
Why we made Appraisal Scribe
Years ago when I launched my appraisal business, I discovered that producing reports was a lengthy process. Using paper forms to inventory collections and formatting Word documents was cumbersome, requiring tedious tasks such as resizing photos and tables, and copying repetitive content between reports. To solve this issue, my husband, a software engineer, created a cloud-based collaborative system that my business partner and I utilized for more than ten years.
As the years have passed, we observed that while there are a number of appraisal management options for Real Property appraisers, there were few options for those of us in the Personal Property field. Those that are available prioritize collections management with appraisal report production added as an afterthought. To fill this void we launched Appraisal Scribe, a report writer and data management system designed for professional personal property appraisers.
Our founders
Lydia Thompson, PH.D., ASA
Appraiser and co-founder
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An accredited appraiser and art advisor based in San Diego. She has served on the board of the San Diego chapter of the American Society of Appraisers and has published in the Journal of Appraisal Studies, among other academic publications. She is also President of Thompson & Martinez Fine Art Appraisals and has taught at UCLA and UCSD. Most recently she taught a webinar on the Chinese art market for the American Society of Appraisers. She has an M.A. and Ph.D. from New York University, Institute of Fine Arts.
David Fox,
PH.D
Developer and co-founder
Ph.D. in Computer Science from New York University and held a postdoctoral fellowship at UC San Diego. His academic research is focused on computer graphics and human-computer interaction. In the 1980s he was a member of the technical staff at AT&T's Bell Labs and has worked as a developer at start-ups in San Diego. Most recently he founded SeeReason, a software company devoted to developing a powerful and flexible platform for building websites using functional programming language technology.
