Batch records and lab reports, investigation-ready.
Regulated batch manufacturing produces exactly the reports generic AI cannot parse - and the residency constraints that keep cloud tools out. The Analytical Lab Reports agent structures results at batch and sample level, entirely inside your boundary, so investigations start from data instead of document review.
Why this data resists generic AI.
- Batch records, deviations and CAPAs span ERP, LIMS and QMS with paper records in between.
- Investigations require tracing a parameter back through test method, sample and batch - manually.
- The rationale behind an approved deviation is often the least documented and most consequential detail.
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
Test results become queryable at batch and sample level - specification failures surface in seconds, and root cause analysis follows the Parameter → Test Method → Sample → Batch chain instead of a paper trail.
Read the use case →Knowledge Twin
Captures the institutional history and informal protocols that make an investigation fast - before the people holding them retire.
Read the use case →If any of these are true, this is live.
- Investigations and root cause analysis are taking weeks
- Data residency requirements are blocking a cloud AI deployment
- An aging workforce is nearing retirement with undocumented know-how
- Quality data is fragmented across MES, QC and batch records
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.