|Headquarters||Redwood City, California|
|Key people|| Sundeep Sanghavi (CEO & Co-Founder) |
Shyamantak Gautam (CTO & Co-Founder)
Ruban Phukan (CPO & Co-Founder)
|Investors|| Ineterwest Partners |
CIT Gap Funds 
|Related Certifications||Certificate in Data Science Industry Overview|
DataRPM offers Cognitive Data Science platform for enterprises to build data products that actually productize data into day-to-day business processes for a real impact. The DataRPM team is made up of folks with deep background and expertise in Machine Learning, Predictive Analytics, Big Data, Deep Learning, Artificial Intelligence etc..
The platform uses machine first approach to connect to the customer’s internal data, fuses it with external data sources and runs a series of (auto) algorithms that delivers Actionable insights to answer the business challenges.
DataRPM has partnered with tech giants like Cloudera, HortonWorks, EMC2, MongoDB, Infosys, Accenture, Amazon Webservices, MAPR, Broad Data Solution. Along with partnership DataRPM has an advisory committee from majority of these tech giants.
DataRPM was incorporated in the year 2012 by Sundeep Sanghavi, Shyamantak Gautam, Ruban Phukan. The company has offices at California, US and India. DataRPM was listed as one of the hottest showing startup in the year it was established . DataRPM, being a 4-year old startup has been recognized as one among the top Big Data Companies. DataRPM's founders have now identified a $2.2 billion as profit through out their career.
In the past 4 years, DataRPM has their footsteps in
-Fortune 10 retailer in the US to predict customer demographics
-A leading car manufacturer in Europe
-A telecommunication leader in France to predict set-top box failure
-A leading membership association in the US to recommend personalized contents to their members.
Listed as #63 company in Gladwin Analytics 100 Best Big Data and Analytics Companies To Work For in 2016
Listed in CRN's Top 100 Big Data companies
Listed among Top 10 Enterprises to watch in the year
Gold Stevie® Award as the New Product of the Year in the Big Data Software Solution category at the 12th Annual American Business Awards.
DataRPM named Cool Vendor in Content and Social Analytics By Gartner
DataRPM Was named among the Fastest Growing Technology Companies in the DC Metro Area by Lead411.
Finalist of Tie 50 Awards 
DataRPM wins DC’s Hottest Showcasing Startup
Top 5 Recent Tweets
|June 20, 2018||KirkDBorne||#PredictiveMaintenance Is Going Strong in Europe: https://t.co/q2ZWIegyWi #BigData #DataScience #AI… https://t.co/JxudUWkh6t|
|September 18, 2018||iotagenda||#Predictiveanalytics is key for manufacturers to gain full visibility and control of #manufacturing processes. And… https://t.co/Sw27Bx3sj7|
|September 14, 2018||RubanPhukan||IIoT is having a dramatic impact on the automotive industry. Learn how manufacturer can benefit from applied machin… https://t.co/9YihoFSq0C|
Top 5 Recent News Headlines
1.DataRPM Appoints Silicon Valley Analytics Veteran Marge Breya to Its Board - “Marge is a fantastic addition to our Board,” said Sundeep Sanghavi, DataRPM Co-Founder and CEO. 
2.DataRPM & Tamr partner to deliver end-to-end automation of machine learning from data ingestion to strategic business insights for their customers - Data integration quality and prep is a crucial requirement for every big data initiative. Our partnership further meets the expanding needs of our customers and allows them to truly leverage machine learning all the way from data ingestion to strategic business insights. 
3.Cognitive Data Science Company DataRPM Adds Cognitive computing veteran Dr. Kirk Borne to Its Advisory Board - Dr. Bornewith diverse experience in data-intensive activities, particularly in the field of advanced analytics and cognitive computing, will make a significant contribution to DataRPM 
4.DataRPM brings machine learning to big data - DataRPM is introducing Smart Machine Insights which uses machine learning to automatically model data, perform advanced statistical analyses, and present key insights to users in an easy to use visual format.