Case Study · ESG & Sustainability

ESG Reporting & Manufacturing Quality Control AI

ESG · GRI · Manufacturing QC · Computer Vision · Compliance

The challenge

ESG mapping and defect detection, by hand.

ESG-to-GRI mapping

Mapping multi-year ESG values to the Global Reporting Initiative (GRI) standard is inaccurate and inefficient.

Reporting gaps

Hard to see missing parameters across multiple years of ESG data.

Manufacturing defects

Production lines (e.g. soda-can manufacturing) struggle to detect deformations, risking safety and compliance.

Manual effort

Manual processes are slow, costly and error-prone.

What we built

AI for reporting and the line.

Automated GRI mapping

Seamless data processing and mapping of ESG values to GRI standards.

Multi-year ESG view

A comprehensive view highlighting missing parameters, with color-coded indicators.

Real-time defect detection

Algorithmic computer-vision monitoring detects can deformations early.

Process-native

Fits within current manufacturing and reporting workflows for smooth adoption.

Results

Quantified outcomes.

↑ Accuracy

Reporting — precise, comprehensive ESG mapping.

Compliant

GRI reporting and product-quality standards.

Early

Defect detection — improved product safety.

Efficient

Real-time monitoring cuts manual effort and cost.

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