ScienceMachine

Automate chromatogram review with AI

ScienceMachine adds a visual QC layer between instrument data and downstream systems. It examines integration boundaries and acquisition quality across the batch, then routes the flagged subset to a scientist for final review.

0 reviewed

Processing batch

AI reviewing

Integration boundary

Review right boundary

Thermo Fisher Scientific
Artelo Biosciences
Spectrus Corp
Inoviv

A controlled workflow with a scientist in command.

01

Ingest the batch

Connect the instrument workflow and collect the chromatograms, method context, and batch metadata required for review.

02

AI Inspects each peak

Visual models check integration boundaries, noise, peak shape, and acquisition anomalies using your approved review criteria.

03

Review the exceptions

Consistent chromatograms are documented; uncertain or non-conforming results are routed to a scientist with the relevant context.

Up to 80% less manual QC review time

Representative target based on current bioanalytical workflows.

We configure the workflow around your systems, source formats, decision rules, and approval model—then validate the version your team will use.

Batch-level coverage

Apply the same review logic across every sample without fatigue or reviewer drift.

Exception blocking

If required inputs are missing or confidence is insufficient, the workflow stops and asks for review rather than guessing.

Reviewer traceability

Preserve the source chromatogram, the automated assessment, and the scientist's final decision together.

Existing-system fit

Add automation between established instrument workflows and downstream systems such as Watson LIMS.

Supports data from the instruments your lab already uses.

Thermo Fisher logo

Thermo Fisher

SCIEX logo

SCIEX

Waters logo

Waters

Bruker logo

Bruker

Agilent logo

Agilent

Shimadzu logo

Shimadzu

Results proven by industry leaders

Portrait of Ernestas Sirka
We worked with ScienceMachine at Inoviv and had a great experience. They helped us reduce the time we were spending on QC and reporting by 80%, allowing us to meaningfully increase our capacity.

Ernestas Sirka

ex-CSO, Inoviv

Inoviv logo
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