MSAT

Control your process at every scale.

The MSAT needs control of the process, through tech transfer, scale-up, CPV, and every deviation in between. Invert’s automatic data aggregation across scales lets you easily do analyses across scales, while the Assist AI tool does deep data science and reporting in minutes.

Challenge

Scattered data = slow investigations

Finding comparable historical runs means asking the right person, checking three systems, and hoping the naming matches. The statistics get built in spreadsheets. One commercial-scale deviation can tie up two or three engineers for a week before the root cause conversation even starts.

Scale comparisons = spreadsheet tetris

Bench, pilot, GMP, and CDMO data each arrive in their own format. Comparing a 2,500L run to a 15,000L run means reconciling parameter names, realigning sampling intervals, and trusting nothing got lost in translation. The analysis takes a day while the prep takes a week.

Context gets lost from PD to GMP

When tech transfer happens, the process moves but its history doesn’t. Characterization runs, failed conditions, and the reasoning behind parameter ranges get compressed into a report. Everything else sits in the PD team’s ELN, which is out of reach the first time a commercial run drifts.

Campaign reports take weeks

Pulling parameter ranges across 150 batches, comparing against PPQ, and formatting for leadership makes every report a manual assembly job. Time is wasted on data collection while analyses and reporting get bottlenecked.

How Invert helps

Always have context across scales.

Case study · Clinical-stage cell therapy

Unified process data across process development and MSAT.

$400K
costs avoided
5
platforms unified
12–18 mo
build effort avoided
Read the full case study

See what you might be missing.

Book a working session. We'll walk through RCA on a real deviation — with PD context, scale comparison, and batch records all in one view.

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