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Skiff lands $10 5M to build out its end-to-end encrypted workspaces – TechCrunch

The startup already has more than 20,000 people using its end-to-end encrypted document editor.

Canvas gives non-technical teams data exploration knowledge without needing a degree in SQL – TechCrunch

Sequoia provides founders with key insights on launching, building and fundraising – TechCrunch

Sequoia hosted a private, sponsored AMA for founders in Startup Battlefield and Startup Alley at the virtual Disrupt SF last month. Stephanie Zhan, Konstantine Buhler, George Robson and Josephine Chen shared some key insights and best practices. It was good stuff, so we wanted to share. We took some highlights from the session and chatted […]

MindsDB Named to Forbes AI 50 List of America s Most Promising Artificial Intelligence Companies

MindsDB Named to Forbes AI 50 List of America’s Most Promising Artificial Intelligence Companies Share Article Open-source, AutoML server MindsDB listed as one of Forbes’ AI 50 top privately-held, U.S.-based companies focused on machine learning. MindsDB We greatly appreciate being recognized in the Forbes’ AI 50 list as one of the innovators in the AI industry,” said Jorge Torres, Co-Founder and CEO of MindsDB. BERKELEY, Calif. (PRWEB) April 27, 2021 MindsDB, the open-source startup that brings machine learning to the database, today was named to the Forbes’ AI 50; a list of private, U.S.-based companies that are using artificial intelligence in impactful ways. MindsDB reduces the complexity of machine learning workflows by bringing explainable machine learning to the source of the data.

AI 50: America s Most Promising Artificial Intelligence Companies

Reporting by Helen Popkin, Aayushi Pratap and Nina Wolpow The Covid-19 pandemic was devastating for many industries, but it only accelerated the use of artificial intelligence across the U.S. economy. Amid the crisis, companies scrambled to create new services for remote workers and students, beef up online shopping and dining options, make customer call centers more efficient and speed development of important new drugs.  Even as applications of machine learning and perception platforms become commonplace, a thick layer of hype and fuzzy jargon clings to AI-enabled software.That makes it tough to identify the most compelling companies in the space—especially those finding new ways to use AI that create value by making humans more efficient, not redundant.

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