Spend less time finding and integrating data, and more time making discoveries.

Meet MetaMatchMaker: a machine learning application suite that helps researchers speed up the process of getting data ready for analysis.

A typical big data study spends anywhere from 35-80% of its budget for data discovery and integration—all before any analysis can be done. But there is a better way: MetaMatchMaker uses natural language processing in machine learning to help automate data discovery, accessing data, and data linkage. Using a recent paradigm shift in AI called transfer learning, MetaMatchMaker can be adapted to new domains quickly and cheaply so you can:

• Integrate data from multiple studies
• Submit and share data easily
• Reduce the amount of time spent on data harmonization
• Get to the analysis phase of your study faster

Learn more about MetaMatchMaker and contact us using the form above to see how you can reduce the time, effort, and cost of data harmonization in your studies.