THE DATA IMPROVEMENT COMPANY

Scale faster with data that’s fit-for-use and AI-ready

Capture, contextualize, and standardize messy R&D and manufacturing data for your workflows so your team moves faster with confidence.

Fit-for-use, 
AI-ready data

Automatic context + traceability

Faster decisions you can defend

how it works

the platform

Two solutions to help you scale faster

R2DIO offers two enterprise-grade SaaS solutions, ProTools (a data integration and performance measurement toolkit) and ProPlatform (a comprehensive enterprise improvement and control platform) that are tailored to the needs of R&D, manufacturing, and data science teams. Both solutions provide a systematic framework to identify root causes of problems to reduce waste and inefficency and ensure long-term measurable process performance improvement.

our services

Workshop on Data Quality

Know when data is fit-for-use

Collaborative working session designed to familiarize your organization with analyses that can improve R&D, production, and quality control processes. Includes hands-on exercises that use your own data, so that you can align on what fit-for-use means for your process, your teams, and your decisions.

Walk away with a shared data improvement plan.

Data Improvement Project

Let us help you get to scale

Customized project that remediate issues causing variance in lab or production workflows, and delivers process stability with continuous improvement. We will assess your processes, identify sources of irreproducibility and inefficiency, and help you take corrective action to remove the issues systematically. This is done with minimal customer time, and without new equipment or hiring.

Optimize your workflows with our help, without your time.

Data Quality Diagnostic

Find where ROI is hiding

Customized short-duration project that identifies and prioritizes the best opportunities to improve core prcesses in your workflows. We outline a series of practical actions that your organization can take to remedy the sources of variance to generate better insights from the same experiments.

Realize where/how to improve your processes to maximize ROI.

proof

What being IN TUNE with your data sounds like

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