Every certificate of analysis, answerable in seconds.
Specialty chemicals and adhesives run on analytical reports - multiple samples and batches per certificate, values split between tables and narrative prose. The Analytical Lab Reports agent parses them into structured, queryable data: Parameter → Test Method → Sample → Batch.
Why this data resists generic AI.
- Every batch and sample produces results across ERP, LIMS and QMS, plus certificates that never become data.
- Formulation rationale lives in lab notebooks, email threads and the heads of a few senior chemists.
- Customer-specific approvals and deviations are frequently agreed verbally and documented thinly, if at all.
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
CoAs and test reports become structured data - parameter drift across batches becomes visible, formulation work reuses historical results instead of repeating tests, and investigations start from structure instead of manual report review.
Read the use case →Knowledge Twin
Scoped to a product portfolio, it captures the formulation nuance and account history that currently depends on one specialist being reachable.
Read the use case →If any of these are true, this is live.
- A senior formulation chemist or PhD specialist has resigned or announced retirement
- Lab teams are manually re-keying data out of test reports
- A cloud AI pilot was blocked by IT or Legal on data sovereignty grounds
- A supply chain compliance audit exposed documentation gaps
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.