Einblick Introduces Visual Data Computing Platform, Announces $6 Million in Seed Funding

Einblick, a visual data computing platform provider, based on years of research at MIT and Brown University, announced it has secured $6 million in Seed funding along with launching its visual data computing platform. The funding round was lead investor Amplify Partners with participation from top-tier investors Flybridge and Samsung Next.

Additionally, Sunil Dhaliwal, general partner at Amplify Partners, joins Einblick’s board of directors.

The funding will be used to continue investing in building a world-class engineering team, as well as expanding its sales and marketing capacity.

“Organizations are challenged by making data-driven decisions to achieve the best business outcome,” said Tim Kraska, founder and CEO at Einblick. “With Einblick’s visual data computing platform, business analysts and data scientists in organizations of all sizes can analyze past data, build predictive models, and simulate scenarios all in the same platform to quickly make data-driven decisions.”

Einblick is a visually interactive data collaboration environment that data scientists and analysts can use to understand the meaning hidden in their data.

Traditional analytic tools are not collaborative and are focused solely on either descriptive analytics (traditionally business intelligence tools), predictive analytics (typically self-service data science tools) or prescriptive analytics (nascent market with few providers). Einblick provides an integrated environment for descriptive, predictive, and prescriptive analytics with the following key features:

  • Einblick’s descriptive analytics enables users to quickly integrate new data, correlate it with existing data, clean it and explore it. Key driver analysis assists users in finding out what really happened.
  • Einblick’s advanced AutoML predictive analytic capability reveals the potential impact of changes in the business by building models quickly and easily. With Einblick, these models are not just black boxes, but rather can be used to understand the hidden meaning behind changes in the data.
  • Einblick’s novel what-if analysis and optimization capability allows users to decide what to do through prescriptive analytics.

“Business analysts and data scientists struggle with analytics tools that are not collaborative, only provide descriptive analytic dashboards, and don't guide them to the best business outcome,” said Dhaliwal. “Einblick’s platform is the first to bring these capabilities together in a platform that combines lightning fast data analysis, an intuitive user experience and effortless collaboration.”

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