Two problems worth solving first.
Both start from the same premise: you already own the data you need. It is fragmented across disconnected systems, buried in unstructured documents, and held in the heads of a handful of specialists.
Analytical Lab Reports
A custom parsing agent turns analytical lab reports from static PDFs into structured, queryable data - mapping Parameter → Test Method → Sample → Batch, the relationships standard RAG cannot hold.
"Which samples failed pH specification in the last 30 days?"Lab analysts · analytical chemists · QC/regulatory scientists · lab directors
Read the use case →Knowledge ManagementKnowledge Twin
Eliminates the single-point-of-failure specialist - the PhD chemist holding a decade of OEM account intelligence, or the plant veterans whose know-how was never written down.
"We’re getting hazy clear coat on Mercedes Obsidian Black - what causes this?"Technical service · global quality · plant engineering · CTO/IT
Read the use case →These are the only two canonical use cases. Where a deployment is narrower, it is a scoping of one of them - for example, Knowledge Twin, scoped to an engineering adhesives portfolio - not a separate product.
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.