October 22, 2014

Startups: DataRPM, Natural Language Search for Big Data

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From the Washington Business Journal:

We’re still in the early innings of the analytics revolution, with countless proposed solutions for putting the power of big data into the hands of non-technical corporate users. No one has quite solved that puzzle. DataRPM believes the answer is natural language search.

The startup, which employs about two-dozen people split between its Fairfax headquarters and Bangalore, India, nabbed an $800,000 seed round this month from Virginia’s CIT GAP Funds, 20K Industries and angel investors. It is also plotting out a Series A round for early next year, said CEO Sundeep Sanghavi.

DataRPM is betting its model — which combines a back-end computational search index and front-end natural language search tool for corporate data — will allow it to push into an already crowded field of analytics vendors. Explaining the product, Sanghavi provides this example: A user could search “what was my revenue in 2011 by location by product type,” and DataRPM would produce a visualization of that data.

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Learn More: Visit the DataRPM Web Site
Includes video.

DataRPM CrunchBase Profile

Competitors Include

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Gary Price About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.