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Easily curate data at a massive scale

Thanks to Machine Learning, Datavid Rover can automatically redact irrelevant or private information—leaving you with only the best of your data.

The biggest problem with sifting through years worth of enterprise data is getting to the valuable parts. But in order to do so, you need to identify what’s irrelevant first.

With a huge task like this, any opportunity to save employees’ time and get to the point is worth its weight in gold. And that’s where Datavid Rover’s curation tooling comes in.

Filter out irrelevant data with your own rules

Choose the topics that are most appropriate for your use case as they are extracted from the documents you provide and add your own custom tags.

Through a process of continuous curation, Datavid Rover recognizes which documents to filter out and which to keep—improving the quality of your data.

Use ontologies to identify concepts that matter

Whether your enterprise invested in building their own or you benefit from public ones, ontologies are the key to identifying concepts accurately.

Datavid has the expertise necessary to integrate these massive datasets into a friendly user interface that researchers and employees can leverage.

Train your own model to recognize relationships

Once all the irrelevant information is filtered out, it’s easier to find the relationships that matter in your data. Datavid Rover makes this process simple.

By continuously training your own Machine Learning model, your data will form valuable relations. All without touching a single line of code.