| Name | Title | Contact Details |
|---|---|---|
Nabil Amiri |
Director of Sales | Profile |
R & D Tech Pvt is a Groton, MA-based company in the Software and Internet sector.
Compart North America is a Boston, MA-based company in the Software and Internet sector.
OpenSea is the first and largest peer-to-peer marketplace for cryptogoods (like an eBay for crypto assets), which include collectibles, gaming items, and other virtual goods backed by a blockchain. On OpenSea, anyone can buy or sell these items through a smart contract. The OpenSea team has backgrounds from Stanford, Palantir, and Google, and is funded by YCombinator, Founders Fund, Coinbase Ventures, 1Confirmation, and Blockchain Capital.
Blackboard Inc. is a Washington, DC-based company in the Software & Internet sector.
DataStax helps companies like Netflix, ING, British Gas, Intuit power data management for their cloud applications. The customers of these companies have billions of defining moments each second around the globe — The moment they get that personalized online deal, watch a streamed movie, manage their finances with ease, know exactly when a package will arrive, efficiently manage a manufacturing process, or visit a new physician who already has all the information she needs about her patient. DataStax is the power behind these moments. Did you know that the average company loses between $1 and $5 million for every hour of downtime - whether it`s a complex trading system or online commerce? And did you know that companies that deliver the best customer experience perform five times better than their peers? These experiences are better because they are highly personalized, responsive, and relevant. And these interactions need to be always-on, scale effortlessly, and make use of instantly actionable insight.. Each of these interactions can be a defining moment in an enterprise`s journey with its customer powered by DataStax. DataStax Enterprise - the always-on data management platform for cloud applications - is rated #1 by Gartner across multiple categories for operational databases.