Adhesion, viscosity, colour - batch after batch, queryable.
Coatings quality lives in test reports: adhesion, viscosity and colour results scattered across batches, plants and OEM programmes. The Analytical Lab Reports agent turns those reports into structured, comparable data - filter by batch, trace a failure, compare across programmes.
Why this data resists generic AI.
- Colour, viscosity and adhesion results live across LIMS, QMS and customer portals - report by report.
- Defect diagnosis depends on cross-referencing batches, substrates and seasons - usually from memory.
- Relationship and approval history sits in Outlook, CRM and a personal notebook.
Or skip the pitch entirely - take the dataset, run the queries in your own AI tools, and Prove us wrong ;-)
Analytical Lab Reports leads.
Analytical Lab Reports
Structure the test data behind every batch - adhesion, viscosity and colour results become comparable across accounts, plants and time, so a deviation traces back to its source in minutes instead of a week of report-pulling.
Read the use case →Knowledge Twin
Deployed at a global coatings manufacturer serving automotive OEMs across 70+ plants - capturing the account intelligence that lives with veteran application engineers.
Read the use case →If any of these are true, this is live.
- A veteran application engineer holding OEM account intelligence is leaving
- A plant acquisition or facility transfer is creating knowledge transfer pain
- QC teams are manually re-keying batch test results for customer reporting
- Leadership has mandated an "AI strategy" but cloud was ruled out
Other batch manufacturing verticals.
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.