How We’re Scaling Real Estate Data Automation

We founded PRODA to solve a specific problem in commercial real estate: too much time spent manually cleaning and validating data. In a recent video conversation with Philip Treacy of Claret Capital Partners, our Co-Founder Charles Williams talks through how the business has grown, why we chose venture debt, and what’s next for PRODA.

From the start, our focus has been on automating the extraction, classification, standardization, and validation of real estate data, regardless of format or source. What began with rent roll automation has grown into a broader data platform built to remove friction from investment, asset management, and reporting workflows.

What’s next for PRODA

We are continuing to automate more of the commercial real estate data lifecycle. Alongside rent roll standardization, the platform now supports operating statement ingestion and data approval workflows, helping teams reduce manual checks and improve data quality at the source.

Next, we are launching machine-to-machine uploads, removing human intervention entirely from the data ingestion process. Data will flow directly between systems with built-in validation, traceability, and auditability.

Beyond this, we are expanding into additional data types, including general ledger, trial balance, turnover schedules, and arrears. The goal is to give real estate teams a single, consistent data foundation across portfolios and reporting use cases.

📽️ Watch the short video to hear Charles in conversation with Philip on our growth journey and how Claret Capital is supporting the next stage of scale.

To learn more about how PRODA helps asset owners and investment managers standardize their data with accuracy and ease, book free trial.