Built for CROs, CDMOs and biotech teams who are done fixing spreadsheets
DataChaperone — the objective, traceable analysis layer for modern laboratories
Turn raw assay data into governed analysis workflows that run the same way every time —fast, consistent and audit-ready.
From manual analyses to scalable workflows
Manual analyses don’t scale. As volume, assays and teams grow, variability and overhead creep in. DataChaperone turns manual analyses into scalable workflows that keep results objective, traceable and consistent across the organization.
Analytical
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R&D & Assay Development
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QC & Production
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Bioinformatics & Data Science
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QA & Validation
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30 min with a founder
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How DataChaperone is delivered
We help CROs, CDMOs, and biotech teams turn raw assay data into consistent, traceable, and audit-ready results and reports.
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.
What we offer
Workflow Scan
We map how a workflow really runs today, from raw data to reported result, and define a focused project with clear impact.
Workflow Automation
We implement the workflow according to your SOPs. Every step, rule and decision is explicit and runs the same way every time, across people and sites.
Workflow AI
For steps that require complex interpretation, deterministic AI supports objective, repeatable decisions while generative AI can generate draft reports.
Meta-Analysis
Once workflows are standardized, you can reliably compare runs, batches or projects without manual cleanup.
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Why teams choose DataChaperone
We provide the tools and expertise to transform your lab’s data handling, ensuring accuracy, compliance, and efficiency at every step.
“DataChaperone shows how bioanalytical processes can be made more objective and consistent, without losing sight of the lab reality. It helps us turn digitalization into something practical.”
— Edwin Hooijschuur, Ardena, Director Bioanalysis
“DataChaperone eliminates hours of error-prone copy-paste work, which has a direct impact on data integrity and lets us scale to bigger customer projects.”
— Brice Meulah, biotactical, Senior Scientist
“DataChaperone enabled us to analyze datasets and generate high-quality figures and tables for project updates and reports within minutes. This streamlined the team’s analysis workflows and leads to faster delivery.”
— Raimond Heukers, QVQ, CSO
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
News & Insights
See where DataChaperone shows up, what we’re learning in the field, and how labs are approaching automation in practice.
Why scientific software is being rebuilt from the inside out
Lab software is shifting from tools to connected workflows. The next leap is governed analysis and interpretation that runs across your existing stack.
DataChaperone presents at AI in life sciences
At LBSP Tech Talk, our CTO shared a pragmatic roadmap to the lab of the future: pick the right tooling per use case and automate with confidence.
DataChaperone receives MIT grant to support ambitious automation
New grant support to push lab automation further. Fewer manual steps means less risk, more reproducibility, and workflows ready for AI-driven insight.