Product Overview

A quick look at the GLYNT.AI solution

Audit-Ready Sustainability Data

Prepared for ISSA 5000 and other audit standards

Sustainability Data Layer

Works with the software and AI you already use

Approval Workflows for Sustainability Data

Four-Eyes review for audit compliance

Finance-Grade Sustainability Data

The same rigor as financial data

Integrate with Financial Data

Reconcile against your financial ledger

AI-Ready Sustainability Data

See what’s missing or flagged before deadlines

Powered by Green AI

Built for low energy use and emissions

Best Practices for Sustainability Data Management

Manage data instead of wrangling it

Enterprise Security

Privacy, security, and controls

Sustainability Data Accuracy

We test your data so you don’t have to

Comprehensive File Capture

Extract data from scans, portals, and messy formats

Customized Reporting

See what’s missing or flagged before deadlines

Audits & Assurance

Traceable data, approval workflows with SOC compliance

Business Value Add

Customize output files for CSRD, IFSR, CBAM, UKSRS

Energy Data Management

Granular data for transparency and cost reductions

Waste Data Management

Pull files from everywhere, send data to anywhere

Scope 3 & PCFs

Stop chasing suppliers, move to finance-grade quality

Blog

What’s new with GLYNT

Customer Stories

Industry applications for GLYNT solutions

Guides

GLYNT’s expertise and thought leadership
Humans vs Agents vs Systems for Sustainability Data

Humans vs Agents vs Systems for Sustainability Data

AI agents are everywhere. But are they the right choice for sustainability data? In our fast-moving era of AI, accurate and complete sustainability data is more important than ever before. It’s a must-have inside the company, as it enables informed business decisions...
Never Leave a Sustainability File Behind

Never Leave a Sustainability File Behind

How double-verification ensures complete, audit-ready data every time. One of the toughest challenges in sustainability is ensuring complete data. Sustainability teams rely on files transferred from other business systems, and prepared for a different use case. It can...