Batch & Deviation Analytics · Parsippany, NJ · Est. 2016

If you assumed API meant Application Programming Interface, you're about to have a different conversation.

API Log Analytics turns Active Pharmaceutical Ingredient batch records and deviation logs into something manufacturers can actually act on — Continued Process Verification dashboards, data integrity review, and deviation trending that catches a drifting process before it becomes a Warning Letter.

UCL LCL BATCH 7 — OOT BATCH 1 BATCH 12
In control Out of trend — flagged Control limit
A representative control chart — not a specific client's actual production data.
Why This Gets Missed

Batch records are kept for compliance. They're rarely mined for signal.

Every batch generates a full record because regulations require it — but most sites treat that record as an archival obligation rather than a data source. A process that's been quietly drifting for six months is usually sitting right there in the deviation log, visible only in hindsight, after an OOS result or an inspection finding forces someone to finally go looking.

Services

Batch analytics, CPV dashboards, data integrity review, and OOS trending.

Four services, all built around records you're already generating for compliance.

See all four →

Our Story

Dr. Imogen Farrow found the warning sign after the Warning Letter.

As a process engineer at an API manufacturing site, she pulled a full year of deviation data during a post-inspection review and found the drift that should have triggered action months earlier, sitting untouched in records nobody had statistically analyzed. API Log Analytics exists to catch that pattern before the inspection, not during the response to one.

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How It Works

Six stages, from data source mapping to ongoing trend review.

The same disciplined process whether it's one production line or a full manufacturing network.

Walk through the process →

Sitting on years of batch and deviation records nobody's had time to properly trend? Get in touch — most engagements start with a data source mapping call, not a sales pitch.