Product Overview
Technical specifications, methodology, and the science behind the AddBack Pre-QoE engine.
The Methodology
Traditional financial due diligence relies on armies of associates manually mapping trial balances and general ledgers in Excel. This process is error-prone, slow, and expensive.
AddBack replaces this manual work using a proprietary ensemble of machine learning models trained exclusively on financial accounting structures. We don't just “read” the data; we understand the semantic relationships between accounts.
Data Ingestion Engine
Our ingestion engine parses unstructured exports from over 50 different ERPs and accounting systems. It automatically handles:
- Mismatched fiscal periods across entities
- Changing chart of accounts over time
- Intercompany elimination entries
- Foreign currency translation adjustments
The Output: Ten Checks
The system generates a unified report covering ten critical areas. It highlights anomalies, flags potential risks, and provides a clear bridge from reported financials to normalized reality.
