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Provide the study record
Bring together the draft report, protocols, SOPs, tables, calculations, instrument outputs, and supporting study files for review.
Automate study QC review with AI
ScienceMachine reviews reports against protocols, SOPs, tables, calculations, and instrument outputs. It flags both missing-file problems and field-level discrepancies, then leaves source-linked findings for a human reviewer.
A controlled workflow with a scientist in command.
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AI checks every detail
ScienceMachine checks file completeness and reconciles documents, tables, calculations, and individual values against the approved sources and QC rules.
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Review and resolve findings
Review a prioritised list of inconsistencies, missing evidence, and low-confidence findings, each linked to the exact source for rapid resolution.
Detailed and traceable for QA, simple for reviewers.
We configure the workflow around your systems, source formats, decision rules, and approval model—then validate the version your team will use.
Macro and micro checks
Find missing or incorrect files as well as isolated values, ranges, conclusions, and table-level mismatches.
Field-level lineage
Every finding points back to the source file and location that supports the assessment.
Controlled templates
Validated templates are locked. Proposed changes create a new version for review and revalidation.
Human approval
Ambiguous handwriting, incomplete records, or low-confidence interpretations are explicitly surfaced for confirmation.
Reviews the files your studies already use.
Watson LIMS exports
Other LIMS exports
Microsoft Word
Microsoft Excel
Scanned & handwritten
And many other structured and unstructured study files.
Results proven by industry leaders
“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.”
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