The GLYNT.AI Blog

OEMs are rolling out PCF and Catena-X requirements fast, and funding is available for suppliers who get started in 2026. Here’s what GLYNT.AI and Secaro’s partnership means for sustainability and operations teams, and what to do next.

Sustainability teams risk costly inconsistencies when reporting in silos. Learn how a Unified Data System lets you prepare data once and publish many times with accuracy and confidence.

Not all AI is right for sustainability data. GLYNT.AI’s specialized AI delivers 99.5% accuracy, lower emissions, and predictable costs for sustainability teams.

BMW VP stated that by 2028, companies would need exact carbon emissions data to operate in the EU. Here’s the regulatory tsunami behind that statement.

AI adoption is blowing up sustainability budgets and carbon forecasts. Here’s how green AI solves both problems, with 95% less energy and a 4-month payback.

Primary Data Share is emerging as the sustainability metric that separates credible reports from industry averages. Here’s why a high PDS is your next competitive advantage.

Humans, AI agents or a data system: which is right for your sustainability data? Compare the options and find out what delivers accuracy, compliance and business impact.

CSRD’s Omnibus changes cut non-EU companies in scope from 10,000 to 1,200. Here’s how to check if your company is still affected and what the new reporting standard requires.

Is your sustainability data ready for audits, investors and financial planning? These 5 tests show you exactly where your data confidence stands — and what to do about it.

Incomplete sustainability data is a silent risk. See how double-verification — a best practice borrowed from financial accounting — ensures no file is ever missing or double-counted.

Digital transformation isn’t abstract — the automotive industry proves it. Real data and digital supply chains separate trailblazers from laggards.

Best practice in financial accounting is a two-person, “four-eyes” review. Sustainability teams should do the same.

Most voluntary sustainability reporting fails to deliver value. Not because of the framework — because of the data. Here’s what fit-for-purpose sustainability data actually looks like.

There’s an Automated System for That — and Your Team and Auditors Will Notice the Difference

While Mexico’s NIS requirements are straightforward on paper, compliance quickly exposes a fundamental data readiness problem, requiring companies to shift toward finance-grade sustainability data.

Poor climate scenario analysis data quality is the hidden barrier undermining TCFD and ISSB compliance. Learn why sustainability data infrastructure — not methodology — is where most organizations fail.

There’s a $24B industry built around this problem. Sustainability hasn’t caught up yet.

Evaluate with these 4 questions

Here’s How to Deliver It

As we head into another fast-moving year, here are the five key trends we’re seeing in the market.