Our Story
Launched in October 2023, PaySync is an AI-enabled income analysis solution for lawyers, made by lawyers. We used our first-hand knowledge of consumer bankruptcy income review to build a solution to streamline the process.
Our mission is to help attorneys better manage their workflow by automating data extraction and red-flag spotting for income data. All that’s left for you to do is analyze the data to build the best case for your client.
Our founding team has spent hundreds of hours manually entering and analyzing client income data. Since our inception, we’ve spent even more time developing the right tool to reduce the workload.
Using our experience in bankruptcy and technology, we have developed a solution that leverages all the benefits of artificial intelligence while ensuring that the necessary guardrails for safe, ethical, and effective use are already built-in.
PaySync automatically extracts and categorizes payroll data from your clients’ pay stubs, providing multiple reports that help you visualize and analyze income trends without compromising your clients’ sensitive information!
We understand the nuances of both consumer bankruptcy and artificial intelligence, which allowed us to build an innovative solution to a long-standing problem. To learn more about PaySync, take a look at How It Works & our FAQs!
Our Team
![]() Tré Lundy, J.D. University of Baltimore University of Maryland, University of Baltimore |
Tré Lundy is the Co-Founder & CEO of PaySync. He completed his undergraduate studies in English and Accounting at the University of Maryland Baltimore County (UMBC). He obtained his law degree from the University of Baltimore School of Law.
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Sahand Yazdanyar The Johns Hopkins University, Carey Business School University of Texas - Austin University of Maryland, |
Sahand Yazdanyar is the Co-Founder & Chief Business Development Officer (CBDO) of PaySync. He completed his undergraduate studies in Political Science and Media & Communication Studies at the University of Maryland, Baltimore County (UMBC).
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