What actually changed.
We are careful about numbers on this page. The before/after below is measured from a real Knowledge Twin deployment. Where we do not have verified figures, we say so rather than round something up.
70+ plants, one queryable memory.
Deployed at a ~$20B global coatings manufacturer serving automotive OEMs across 70+ plants - and internally at Vegam, where it saved hundreds of hours per week and compressed onboarding across sales and development teams.
Directional, because that's what we can verify.
For Analytical Lab Reports we describe the effect directionally rather than quote a number we have not measured across deployments: it compresses cycle time andeliminates manual PDF lookup - replacing "open forty PDFs and re-key the values" with a query against structured data.
The honest way to size it for your organisation is to run it against your own reports. That is exactly what the exercise is for.
Run the exercise on your own data →Where the platform has been proven.
Built by Vegam Solutions - 20+ years of manufacturing digital transformation, 300+ plant deployments across 60+ countries.
Flagship deployments across specialty chemicals, coatings, and manufacturing at global scale.
See it against your own data.
A discovery session is a working conversation about your lab reports, your tribal knowledge, and your sovereignty constraints - not a slide deck.
On-prem. Your data never leaves your boundary.