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PreSeries

PreSeries is a Machine-Learning-as-a-Service (MLaaS) company that generates automated real-time insights and scores about startups and their industries in order to guide investment decisions for investors big and small. 400k+ startups analyzed with A.I.

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Fabien Durand in PreSeries

Dec 13, 2018

The 3 Most Promising Startups in Photography — #StartupLytics

#StartupLytics (Startup + Analytics) is the art and…

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Fabien Durand in PreSeries

Nov 9, 2018

How to Become a VC in the Age of AI — Apply to the PreSeries FutureVC Program

PreSeries is a…

Fabien Durand in PreSeries

Oct 11, 2018

PreSeries Predicts! The 5 Most Promising Startups in Personal Finance

Fabien Durand in PreSeries

Oct 5, 2018

PreSeries Predicts! The 5 Most Promising Startups in Automobile Insurance

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Fabien Durand in PreSeries

Oct 2, 2018

PreSeries Predicts! The 5 Most Promising Startups at South Summit 2018

PreSeries predictive algorithms crawl the web hungry for startup information. So far, almost 400k companies have been ruthlessly processed, scored, and ranked. Today, we offer you a sneak peek at the…

Fabien Durand in PreSeries

Sep 26, 2018

PreSeries Predicts! The 5 Most Promising Startups in Clean Energy & Storage

Fabien Durand in PreSeries

Sep 18, 2018

PreSeries Predicts! The 4 Most Promising Startups in Market Research

Fabien Durand in PreSeries

Sep 7, 2018

The Only Startup Battle Where the Jury is an AI !!! (APPLY NOW — Boston, Oct. 16)

PreSeries is a Machine-Learning-as-a-Service (MLaaS) platform that collects startup data from a vast set of sources to generate the most accurate picture of early-stage companies and their…

Fabien Durand in PreSeries

Sep 6, 2018

How to Assess Startups Using Machine Learning: Part I — Introduction

The data geeks of the VC…

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Fabien Durand in PreSeries

Aug 10, 2018

PreSeries #AngelRanking — Top 5 Angel Investors In Switzerland

Angels investors are on the front-line of innovation, trusting teams in their early days, evaluating alpha-prototypes, and backing unproven ideas before everyone else. They end up writing virtually every startup’s first…