Featured Startup Pitch: DataRPM wants to enable business to ‘talk’ to their data, literally
Leveraging the power of cognitive computing, DataRPM’s smart machine analytics solution delivers the unprecedented ability for business people to talk—literally—to their data in plain English and immediately receive visually intuitive answers. DataRPM uses this same advanced computational approach to automatically model multiple disparate data sources, delivering huge reductions in labor and cost associated with IT support of Big Data initiatives.
DataRPM is an award-winning, industry pioneer in smart machine analytics for big data. Leveraging the power of cognitive computing, DataRPM delivers the unprecedented ability for business people to talk—literally—to their data in plain English and immediately receive visually intuitive answers. DataRPM uses this same advanced computational approach to automatically model multiple disparate data sources, delivering huge reductions in labor and cost associated with IT support of Big Data initiatives.
DataRPM’s smart machine analytics solution provides an end-to-end smart pipeline for effective Big Data Discovery and Analytics. DataRPM enables Automatic Data Modeling from disparate data sources using cognitive algorithms, eliminating the need to manually build complex data warehouses. The data is modeled into a Computational Search Graph stored in a smart data lake, empowering business users to do ad hoc, cross-source data analysis in real-time. Finally, our Natural Language Question-and-Answering interface provides an easy, Google-like user experience, enabling anyone in the enterprise to talk directly to their data in a human-friendly, natural language, and instantly receive automatically visualized answers.
I founded Razorsight in 2001 and helped it become a market leader in delivering business assurance, process automation, analytics and business intelligence to several Tier 1 communications providers. I have also held key executive positions at Arthur Andersen, Cable & Wireless, and TEOCO Corporation, and founded another Business-Intelligence-as-a-Service (BIaaS) company called SearchRidge.
We recently announced the launch of our Sherlock Holmes marketing campaign, creating a dilemma for IBM Watson Analytics. Sherlock Holmes was not only the world’s greatest detective, he was arguably the world’s greatest data analyst—a master at turning raw data into valuable insights. By fully automating the process and providing a simple, Google-like user interface with DataRPM, anyone in an enterprise can be Sherlock Holmes and draw meaningful conclusions from their data quickly, without writing queries or understanding programming languages.
We are aimed at businesses that are looking for a faster and more accurate way to analyze and draw powerful insights from their big data. Utilizing the power of cognitive computing, DataRPM solves the issues brought on by manual approaches by automating tasks and facilitating information for businesses to allow data scientists and analysts to focus on more productive analysis of big data, rather than mundane ‘data janitor’ work.
Our main competitor is IBM’s Watson Analytics.
HOW WE’RE DIFFERENT FROM THE COMPETITION
DataRPM competes against IBM Watson Analytics (which is very different from the original IBM Watson). IBM Watson Analytics takes the natural language parsing layer of the original Watson smart machine and rehashes the existing enterprise SPSS data modeler, Catalyst, and some parts of Cognos as well, to create a data discovery/BI solution. This is where they are in similar turf as us.
The difference with DataRPM is that we are an end-to-end full stack solution designed ground-up (without any rehashing) to enable smart machine analytics right from our smart data modeling from disparate data sources to smart search-based computation on commodity hardware using our just-in-time memory to smart visualization—all of which are designed to scale for big data on any infrastructure (cloud or on-premises), and works out-of-box with minimal pre-training or complex configurations, and gives the fastest go-live from raw data to insights. We provide one-click Smart Insights for data interpretation and Smart Prediction where the system enables anyone to use data intelligently without really requiring knowledge of the science behind it.
DataRPM was named ‘Best New Big Data Solution’ by the American Business Awards and ‘Cool Vendor’ in Content and Social Analytics by Gartner in 2014.
It was recognized as one of the DC’s hottest startups by the Tech Cocktail Showcase in 2013, and was ranked as 10 Startups destined to break out in 2014 by Tech.co. It is also ranked as a Top 10 Big Data Analytics Company by Enterprise Apps Today.
DataRPM is privately-held and uses a SaaS (Software-as-a-Service) business model. We currently have dozens of clients, including Cisco.
DataRPM is at the forefront of innovation in smart machine analytics for big data. We are pioneering a lot of technologies like the natural language question answering, computation search and auto data modeling for data discovery. As such, we look for people who are passionate about inventing the future.
We evaluate on the ability to question and challenge the norm, structured and analytical thought process, data-first mindset, creativity, and entrepreneurial spirit. In terms of technology, we look for experts in machine learning, scalability and performance, big data, visualization among other areas.
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HEADQUARTERS: Fairfax, Virginia
YEAR FOUNDED: 2012