LIMS for Quality with Uncountable: Root Cause to Released Batch
A quality investigation should begin with evidence, not a search. Yet when deviations sit apart from formulation versions, batch records, raw-material lots, and test results, teams must assemble the context manually before they can determine what happened.
That delay affects more than investigation speed. It can obscure recurring patterns, slow disposition decisions, and make it harder to show a complete, defensible chain from a quality event through corrective action and batch release.
Uncountable’s LIMS for Quality connects QC data to the product and process context behind it. Results, specifications, samples, batches, raw materials, deviations, and related quality actions remain linked, giving teams a clearer route from an unexpected result to a controlled decision.
This solution brief is for QC laboratory, quality, and manufacturing leaders who need to make investigations faster and batch release more confident.
Inside this solution brief:
- How to connect test results, samples, batches, and raw-material lots
- Ways to start deviations with relevant evidence already attached
- The role of structured data in root-cause investigations
- How connected quality records support controlled batch decisions
- What changes when QC data is part of the product record
Move from root cause to released batch with the evidence already connected.
FAQs
How Uncountable's LIMS for Quality connects an out-of-spec result to the formulation, batch, and raw-material data behind it, live SPC on the control chart, automatic deviation creation, and how a spec change hands off for release.
Every QC record links back to the formulation revision, the batch, and the raw-material lots that produced it, built in rather than looked up afterward. The link exists the moment the result posts, not reconstructed after someone opens an investigation.
An ERP-as-LIMS approach overwrites a retest with the latest value and loses the history. Uncountable tracks every failure, not just the final result, so a pattern across retests stays visible instead of being replaced.
Yes. Control limits and Cpk are computed from your stable, in-control baseline for each line, and release specs are set per product, so an alert reflects your actual process rather than a generic default.
An out-of-spec reading opens a deviation automatically, already linked to the batch record, the formulation revision, and the raw-material lot. CAPA and change control are then governed in Uncountable's QMS: LIMS for Quality references the CAPA and hands off, it does not own it.
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