PRODA LTD
Peter Bredthauer has worked as a CEO & Co-Founder at PRODA LTD since March 2017. Prior to that, they were an Associate Director at Tristan Capital Partners from September 2011 to March 2017.
Peter Bredthauer's education history begins in 2004 when they enrolled at the University of Bayreuth. Peter pursued a degree in Business and successfully completed their studies in 2010, earning a Diplom Kaufmann degree.
During their undergraduate years, Peter also undertook a one-year program at the IREBS - International Real Estate Business School, affiliated with the University of Regensburg. Although no specific degree was mentioned, they focused on Real Estate Management during their time there, which lasted from 2007 to 2008.
Following the completion of their undergraduate studies, Peter went on to pursue a master's degree. In 2010, they enrolled at the University of Reading, specifically at the Henley Business School. Peter pursued a program in Real Estate Finance and Investments and completed their MSc degree in 2011.
Based on the available information, Peter Bredthauer's education history includes a Diplom Kaufmann degree in Business from the University of Bayreuth and an MSc degree in Real Estate Finance and Investments from the University of Reading. Additionally, they have some coursework and specialization in Real Estate Management from the IREBS - International Real Estate Business School.
PRODA LTD
PRODA is focuses on solving core data processing pain points in real estate. They are combining real estate expertise with data science to develop machine leaning-enabled software, with the aim of truly automating many analysis and reporting tasks for real estate professionals.Automation is a key driver of digital transformation in everyindustry, underpinned by advances in artificial intelligence and machine learning. Automation holds huge potential to improve speed, accuracy and productivity. The real estate industry is no exception, but so far limited progress has been made towards digitalisation. Many companies are still running on traditional workflows, for instance using spreadsheets to organise, process and share their data. This data comes in unlimited different formats, and is often stored across unstructured, disparate filing systems, creating data silos.