Pecan.ai emerges from stealth with $11M Series A to automate entire predictive analytics process using machine learning

Pecan AI, a Tel Aviv, Israel-based AI startup and a deep learning platform to build deep learning predictive analytics models for deep learning AI, has emerged from stealth with $11 million Series A to automate the entire predictive analytics process using machine learning. The round, which was led by Dell Technologies Capital and S Capital brings Pecan’s total funding to date to $15 million. Pecan AI previously raised $4 million seed round.

Pecan was founded in 2016 by Noam Brezis and Zohar Bronfman. The duo met during their PhD studies in computational neuroscience at Tel Aviv University. Both are also alumni of Unit 8200, the Israeli military’s equivalent of the NSA. Pecan claimed that its platform can deliver accurate predictive models to customers within weeks with no pre-existing knowledge and with a 90% accuracy rate.

Pecan is an innovative deep learning platform to build deep learning predictive analytics models for deep learning AI. The Pecan platform automates the entire predictive analytics process dramatically reducing the time-to-model from months to days. It also develops state-of-the-art, automated and general-purpose AI technologies, achieving unprecedented accuracy in a variety of use cases.

Pecan uses AI techniques and machine learning to transform how analytics content is consumed, developed, and shared. It also enables BI analysts to generate deep learning predictions – without any prior experience. They applying big data analytics, algorithms can inform medical personnel more successfully and more quietly. Pecan’s predictive hypotheses allow you to predict the repercussions of various business decisions.