Intelligence Built
From Every Batch
Every executed step, machine value, exception, and signature becomes structured data - feeding trend, yield, and deviation analysis across sites and modalities.
What the platform can answer.
Active batches, equipment status, exceptions, and QA queue across sites.
Track critical parameters against specification limits across the last N batches.
Historical yield, predicted yield for the active batch, and key influencing parameters.
Recurring root causes across batches, equipment, and time windows.
Composite health from deviations, maintenance, and process variability signals.
Automatic detection of outliers against learned batch-in-context baselines.
Pre-structured reports for internal quality, audits, and inspections.
Ask manufacturing questions and receive answers grounded in the batch record.
The intelligence layer is built on the same structured record as the batch and the equipment logbook. Every insight is traceable back to its source events.
AI supports investigation, prioritization, prediction, and reporting. Final GMP decisions - release, rejection, hold - remain with authorized users.
See intelligence on your own batch data
Bring a modality and a question. We'll show how CtrlPoint answers it.