From manual analysis to automated workflows
Analytical teams drive every study and batch, but when analysis depends on spreadsheets and local scripts, days fill with manual steps instead of scientific work. DataChaperone turns those repetitive steps into a governed workflow so results become faster, more consistent and easier to review.
What users see
From manual analysis to automated workflows
Routine assays run faster with less effort
Manual plate analyses often rely on copy-paste steps and fragile spreadsheets, causing turnaround times to grow disproportionately as volume increases. DataChaperone’s Workflow Automation removes these manual steps, delivering faster and more predictable results.
Consistent, high-quality results
QC rules and edge cases are frequently applied slightly differently by each analyst, leading to rework and lengthy reviews. Standardized workflows ensure that the same logic is applied every time, by everyone. With DataChaperone Meta-Analysis, QC results can be tracked over time and projects.
Analysis that scales with volume
Manual and fragmented analyses do not scale linearly—more samples mean more effort and more checks. DataChaperone delivers automated, governed workflows that let analysis capacity grow without adding complexity or risk.
Reduced dependency on personal scripts
Flow cytometry, chromatography, and microscopy analyses often depend on local scripts or personal conventions that are hard to maintain or validate. DataChaperone’s Workflow AI makes these rules explicit, resulting in shared workflows that make analyses transferable, maintainable, and audit-ready.
Improved continuity and onboarding
New analysts are often trained to work around fragile Excel files rather than following robust processes. With DataChaperone, governed workflows provide a consistent, validated foundation that makes onboarding predictable and continuity reliable.
What our users say
“DataChaperone helps us determine calibration curves in an objective and consistent way, even for more complex datasets.”
– Michelle de Roos, Ardena, Senior Scientist
How DataChaperone is delivered
We focus on the part of your process where raw data becomes a reported result. That is where audit risk accumulates, and where a governed workflow makes the biggest difference.
Instead of replacing your platforms or processes, we automate one critical workflow first. Following the Workflow Scan, we jointly define a project to implement Workflow Automation. Once we start building, you’ll have a working, production-ready solution in 4–6 weeks.
From there, we become your long-term partner: maintaining and evolving your workflows, integrating with existing systems, introducing Workflow AI, and enabling DataChaperone Meta-Analysis as you scale.
DataChaperone:
✓ Automates data import, transformation and quality control.
✓ Generates audit-ready reports with full data lineage.
✓ Deploys custom solutions with off-the shelve speed.
✓ Integrates with existing LIMS, ELN, and instrumentation.
✓ Provides meta-analysis capabilities across multiple studies.
✓ Offers custom automation to fit unique lab workflows.
DataChaperone is the objective, traceable analysis layer for modern labs.
Workflow Scan
We start by mapping how the assay runs today, for example ELISA. Which files come off the instrument, which formulas and thresholds are applied, where QC checks take place and how results move into reports.
Workflow Automation
Together we turn your approved method into clear steps: import, calculations, QC and reporting. All logic is explicit, visible and applied the same way each time. No hidden formulas or personal rules.
Workflow AI
If parts of the assay involve complex interpretation (imaging, gating, pattern detection), Workflow AI can support consistent decisions.
Meta-Analysis
Once the workflow runs consistently, you can compare assay performance across versions, batches or sites, supporting method evolution and validation.
→ See the product overview
Start with one workflow
You don’t need a full transformation to get started.
Most teams begin with a single, high-impact workflow.
We scan it, automate it, and deliver a working result in weeks.
From there, you decide how far to scale.
Why teams start this way:
✓ See impact quickly
✓ Get buy-in across teams
✓ Validate the approach with minimal risk
✓ Free up time for higher-value work