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ThoughtSpot, the leader in search & AI-driven analytics for the enterprise, is helping the largest companies in the world succeed in the digital era by putting the power of a thousand analysts in every business person`s hands. With ThoughtSpot`s next-generation analytics platform, business people can use Google-like search to easily analyze complex, large-scale enterprise data and get trusted insights to questions they didn`t know to ask, automatically - all with a single click. ThoughtSpot connects with any on-premise, cloud, big data, or desktop data source, deploying 85 percent faster than legacy technologies. Customers like Amway, Bed Bath and Beyond, BT, Celebrity Cruises, Chevron Federal Credit Union, De Beers, PetCo and Scotiabank have put ThoughtSpot at the core of their business processes. With ThoughtSpot, business leaders and frontline workers alike have made more than 3 million data informed decisions per year. ThoughtSpot was co-founded in 2012 by Ajeet Singh, former co-founder and Chief Product Officer at Nutanix, the largest tech IPO of 2016, and is led by CEO Sudheesh Nair. With a founding team coming from Google, Amazon, and Facebook, ThoughtSpot has raised over $300M in funding from Lightspeed Venture Partners, Khosla Ventures, General Catalyst Partners, Sapphire Ventures, Geodesic Capital, and Capital One Growth Ventures. The company is headquartered in Palo Alto, with offices in Seattle, London and Bangalore.
Hoperun Technologies Corporation is a Woburn, MA-based company in the Software and Internet sector.
Enterworks, Inc. develops, markets, and supports a software framework that integrates content and processes for companies seeking to participate in e-business. Enterworks targets operators and users of e-marketplaces and portals. E-marketplaces and
Synametrics Technologies is a Jamesburg, NJ-based company in the Software and Internet sector.
Time is the enemy of data. Data that has enormous value the moment it`s created will have less value — even no value — an hour, a minute, or even a second from now. And that time-to-value is becoming more urgent every day. Just ask organizations in e-commerce, in financial services, and in energy to name a few. Companies who can ingest the ever-increasing amounts of data coming in — whether it`s customer data, trading data, or sensor data — and act on a transaction opportunity faster than anyone else are the ones who will win. Today, organizations of all types are trying to gain a competitive advantage or become more effective by devising new ways to identify and act on fast-moving, valuable data. This is what drives the Big Data trend – by ingesting and analyzing large volumes of a variety of data, organizations hope to be able to find and act on every single piece of data at a point of maximum value. And to date, there has been an enormous amount of frustration in this quest because these same organizations have not been able to achieve the velocity required to act on data at anything approximating the point of maximum value: real time. Their systems are simply too slow at data ingestion, analysis and decisioning. VoltDB solves this critical velocity problem. It is an in-memory relational database that combines high-velocity data ingestion, massive scalability, and real-time analytics and decisioning to enable organizations to unleash a new generation of applications that act on data at its point of maximum value. Organizations in markets ranging from financial services and media, to energy and telecommunications, use VoltDB to narrow the “ingestion-to-decision” gap from minutes, or even hours, to milliseconds. That, in any line of work, is a big deal.