From R&D innovation to routine use, without friction
R&D teams constantly design and refine assays. Early methods live in notebooks, scripts and local tools — which is fine until the assay needs to move to QC, production or a partner lab. That handover is where things often fall apart.
What users see
From R&D innovation to routine use, without friction
Innovation without losing stability
R&D teams are under pressure to innovate while also preparing methods for routine use. With DataChaperone, you get structured workflows that allow teams to experiment safely while maintaining a clear path to stable, production-ready analysis.
Traceable method evolution
Changes to methods over time are rarely captured in a structured way, making decisions hard to retrace or justify. With DataChaperone’s support, versioned workflows preserve method history, providing clarity and confidence as methods evolve.
Smoother tech transfer
During tech transfer, teams often interpret the same method differently, leading to noise, rework, and delays. With DataChaperone Workflow Automation, a governed workflow ensures consistent execution from R&D into routine use.
Assay logic becomes explicit and reusable
Assay logic often lives in people’s heads or personal files, making it hard for others to reproduce or build on. DataChaperone’s Workflow AI captures this logic and lays the foundation for governed workflows that make analytical logic explicit, shared, and reusable across teams.
Clear, executable specifications
Method specifications are frequently spread across SOP, spreadsheets, and tribal knowledge. Following the Workflow Scan, DataChaperone creates a standardized workflow — with living specifications — that is easy to follow.
What our users say
“The DataChaperone platform is easy to use and the tailored approach offers the ability to handle diverse experiment designs and capture variables in a standardized way.”
– Robbin Hutten, QVQ, Lab Manager
How DataChaperone is delivered
We help capture and stabilize the logic behind optimized assays so they can move from development to routine use without friction.
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 capture the real workflow: parameters, calculations, decision rules, edge cases and how results are judged — without slowing R&D down.
Workflow Automation
We implement the optimized method as a stable, repeatable workflow. For common assay types, much of the structure already exists — you configure the parameters.
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