About Provafi

We're on a mission to transform how financial professionals work with trial balance data and automate the creation of financial statements.

Our Story

Founded in 2025, Provafi emerged from a frustration that financial professionals know all too well: the tedious, manual process of converting trial balances into usable financial statements. As experienced M&A professionals, we've spent countless hours mapping account codes, organizing data, and formatting spreadsheets - time that could have been spent on valuable analysis and strategic insights.

The M&A process naturally creates information "firewalls" between buyers and sellers, with trial balance data often trapped in datarooms and shared as static exports. We recognized that while this controlled information flow is necessary, the manual processing required afterward creates massive inefficiencies for both sides.


Our Mission

We believe financial professionals deserve better tools. Our mission is to eliminate tedious data processing from financial workflows, allowing skilled professionals to focus on analysis and decision-making rather than manual spreadsheet manipulation.


Our Solution

Provafi automatically transforms raw trial balance data into professional, analysis-ready financial statements in seconds. Our intelligent categorization engine automatically maps default categories to accounts, while allowing customization when required.

Whether you're conducting due diligence for M&A, preparing financial statements, or analyzing company performance, Provafi dramatically reduces the time spent on data preparation so you can focus on what truly matters.


Our Values

  • Efficiency: We eliminate unnecessary manual work from financial processes
  • Accuracy: We ensure data integrity throughout the transformation process
  • Adaptability: We learn from user input to continuously improve
  • Expertise: We deeply understand the financial workflows we're optimizing
  • Security: We maintain the highest standards for protecting sensitive financial data