Virtas Partners deployed machine learning, automation and artificial intelligence to enhance data analysis and value driven insights for due diligence.
Client Need
We were asked to perform a Quality of Earnings diligence assignment for a middle market PE firm investing in a platform company. The company’s financial data was spread across multiple systems, formats, and time periods, making it difficult to produce a reliable Quality of Earnings (QofE) analysis. The client required a partner who could quickly ingest and harmonize large volumes of financial and operational data, validate EBITDA adjustments, develop LTM and period over period comparisons of results, and produce a buyer‑ready QofE report — all in a fully remote environment. Virtas powered by RapidCanvas leveraged its QofE automation toolkit to get the job done.
Tailored Solutions
- AI‑Enabled Data Ingestion & Harmonization
- Automated Re-calendarization for Buyer‑Ready Analytics
- Automated Variance Detection & Heat‑Mapping
- Automated EBITDA Normalization & Reconciliations
- Comprehensive QofE Analysis
Value to client
- Clean, unified, AI‑processed data
- Increased EBITDA through identification of additional adjustments not captured by management
- Accelerated the sale process – fast, accurate, and repeatable analytics
- Improved insights into product performance and customer behavior
- Enabled rapid refresh of QofE analyses as new periods closed
- Validation of financial statements and adjustments
Capabilities
- Quality of Earnings
- Financial Statement Analysis
- Ai and Machine Learning Solutions
- Data Harmonization
- Data Analytics