Loopwise
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AI FOR MASS SPECTROMETRY

From spectra tothe next experiment.

AI-assisted experimental design, data analysis, and scientific interpretation.
Starting with mass spectrometry–based metabolomics.

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0.0Retention time (min)8.0 Explore the workflow ↓
Starting with metabolomicsFor mass spectrometry research teams
FROM EXPERIMENTAL DESIGN TO INTERPRETATIONPRODUCT VISION

01 / EXPERIMENTAL DESIGN

Define the experimental design.

Specify study groups, controls, and quality-control samples.

Research hypothesisSampling strategyAcquisition protocol

THE LOOPWISE VISION

An integrated workflow.
Scientific oversight.

Platform in development
Loopwise / Research workspace
EXAMPLE STUDY

Which metabolite features differ between treatment and control?

Metabolomics
Experimental designDraft protocol
Control · Treatment · Pooled quality control (QC)
Review evidence before advancing.01 / 06
Traceable evidence. Reviewable decisions. Lab-specific context.Discuss your workflow
Explore the peak-review prototype Peak review ↗

PEAK-REVIEW PROTOTYPE

Review chromatographic peaks.

Inspect signals.
Record review decisions.

peakreview / a Loopwise prototype
Extracted ion chromatogramTarget A / 284.16 m/z
1.00.3002468Retention time (min)Candidate peak
Sample Comparison traceSelect a target to inspect its trace.
RT 3.24 min · Candidate 01
Review summary
Targetm/zRT / minDecision
01 / Inspect the chromatogram

Synthetic peak-review example · No live analysis.

RESEARCH WORKFLOWS

Request a demo.

Discuss your analytical methods and research objectives.

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