This page summarizes the results obtained from the proof-of-concept implementation
of the QIIROX compliance engine.
*Tech Stack: Python, Google BigQuery, Google Sheets*
Automated CBAM calculation logic was applied to sample activity data,
producing structured emissions results aligned with EU CBAM requirements.
Carbon accounting workflows were validated from raw activity data
to structured, report-ready outputs.
Data structures and calculation outputs were designed
to align with ISCC-compliant reporting and documentation requirements.
The PoC confirms the feasibility of automated compliance calculation
and documentation using a unified engine.
QIIROX uses rule-based and deterministic calculation engines as the core of its CBAM, carbon accounting, and ISCC compliance platform.
Vertex AI is used and further planned as an AI assistance layer on top of structured BigQuery datasets to support anomaly detection, data validation, and AI-assisted explanations of regulation-driven calculation results.
AI components do not replace regulatory logic, but enhance data quality, reporting efficiency, and compliance interpretation support.
Detailed calculation logic and regulatory methodologies are intentionally abstracted to protect proprietary implementation.