AddBack

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.