Prognoos wins the Artificial Intelligence Startup Battle in São Paulo!

Following the footsteps of the inaugural AI Startup Battle that took place in Valencia, Spain, last March 15, 2016, and the second edition in Boston last October 12, 2016, the closure of the Brazilian Summer School in Machine Learning 2016 was brought with the third edition of the Artificial Intelligence Startup Battle. Brazilian media outlets covered the battle, since it was the first time in history that Brazil held a contest where the jury was a Machine Learning algorithm that predicted the probability of success of an early stage startup. The four competitors (DataholicsPayGo EnergyPrognoos, and Sppin-Kapputo) and Saffe Payments took to the stage, although Saffe Payments did not participate in the competition because they are already part of the Wayra academy.

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Contenders of the AI Startup Battle at the BSSML16. From left to right: Guilherme Paiva, Co-Founder and CEO of Sppin-Kapputo; Mark O’Keefe, Co-Founder of PayGo Energy; Daniel Mendes, Founder and CEO of Dataholics; Raul Magno, Co-Founder and CEO of Prognoos; and Renato Valente, Country Manager of Telefónica Open Future_ in Brazil.

The PreSeries Machine Learning algorithm interviewed the contenders until it had enough information to provide a score between 0 and 100. The winning company, with a score of 92.33, was Prognoos, a startup from São Paulo that has built an artificial intelligence platform using e-commerce user interaction and browsing data to personalize their buying experience through its proprietary algorithm.  This startup is being invited to Telefónica Open Future_’s accelerator to enjoy access to the Wayra Academy (for up to six months) and to Wayra services and network of contacts e.g., training, coaching, a global network of talent, as well as the opportunity to reach many Telefónica enterprises in Brazil and abroad. After six months, the winning company will be evaluated and may apply to run for a full Wayra acceleration process, including up to USD $50,000 convertible note loan (versus a possible 7 to 10% equity).

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Prognoos, winner of the AI Startup Battle at the BSSML16, represented by Raul Magno, its Co-Founder and CEO (left). Renato Valente, Country Manager of Telefónica Open Future_ in Brazil (right).

The second place was for PayGo Energy, from Nairobi, Kenya, with a score of 71.90, they seek to democratize LPG (Liquefied Petroleum Gas or Propane) for the 2.9 billion people worldwide who lack access to clean cooking fuel. The third position was for Dataholics, from São Paulo, with a score of 39.72, they focus on providing a solution to detect the products and services that fit a given consumer profile based on his/her social media and demographic information. And finally, the fourth place went to Sppin-Kapputo, from Belo Horizonte in Brazil, with a score of 28.14, this company is an information broker that uses Machine Learning to allow real estate investors and construction companies to make better decisions by relying on analytics tools and prediction models that evaluate the impact of construction on a real estate market.

At the end of the event, BigML’s CEO and President of PreSeries, Francisco J. Martin, highlighted: “We already knew from the growing number of active BigML users in Brazil that the region holds tremendous potential due to an abundance of young and hungry to learn minds as well as world class academics in Machine Learning and AI. This week was further testament that geographic barriers are no longer strong enough to prevent the spread of innovative and ambitious ideas that consider not only their local market but the whole worlds as their target audience for their data driven smart applications.”

The next edition of the AI Startup Battle will take place soon, so stay tuned for new announcements on Twitter (@preseries) and other social media channels: LinkedIn, Facebook, and Google+. For more information about the BSSML16, please read this blog post.

Looking forward to seeing you again in future editions of our AI Startup Battles around the world!

AI Startup Battle coming to São Paulo on December 9, at the BSSML16

The Artificial Intelligence Startup Battle where the jury is an algorithm keeps on traveling around the world! We are glad to announce our next stop: São Paulo, Brazil, on December 9, 2016. This will be the third edition of a series of very exciting battles, where five AI startups compete with each other and are judged by a Machine Learning algorithm, with no human involvement.

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The world’s premiere Artificial Intelligence Startup Battle took place in Valencia, Spain, last March 2016, when Telefónica Open Future_ and BigML presented PreSeries to the world. The reaction of the audience was extremely positive! So much that the PreSeries team and Telefónica Open Future_ decided to continue with a series of battles spread worldwide. That is why we launched the second edition in Boston last October 12 at PAPIs ’16. But we still want more! This third time in São Paulo, Brazil.

Apply to compete!

The worldwide interest in Machine Learning makes Brazil’s economic capital São Paulo the perfect South American stop to organize the next AI Startup Battle. If your startup applies Artificial Intelligence and Machine Learning as a core component of your offering, we invite you to compete in the battle! Submit your application and if you are selected, you’ll be able to pitch on stage, make connections at the conference, and get unique exposure among a highly distinguished audience.

Five Artificial Intelligence startups will be selected to present their projects on stage on December 9 at the closing of the Brazilian Summer School in Machine Learning 2016. These five startups will be automatically judged by the Machine Learning algorithm of PreSeries that will predict the probability of success for each startup.

The winner of the battle will be invited to Telefónica Open Future_’s acceleration initiatives to enjoy the access to the Wayra Academy (up to six months) and to Wayra services and contacts, such as training, coaching, a global network of talent, as well as the opportunity to reach many Telefónica enterprises in Brazil and abroad. After six months the winning company will be evaluated and may apply to run for a full Wayra acceleration process, including up to a US $50,000 convertible note loan (versus a possible 7 to 10% equity). Microsoft will also contribute to the prize of the winning startup with US $120,000 in Microsoft Azure credits to be consumed in two years. The winner will receive a BizSpark Plus stamp, an upgrade of the Microsoft benefits for startups offered in Azure, access to its software platform, and the opportunity to connect with investors and other businesses.

Competition details

WHAT:

  • Artificial Intelligence Startup Battle.

WHEN:

  • Friday, December 9, 2016 from 06:00 PM to 07:30 PM BRST.

WHERE:

  • VIVO Auditorium (Telefónica Building). Av. Engenheiro Luís Carlos Berrini, 1376 – Brooklin, São Paulo – SP, 04571-000, Brazil.

APPLICATION PROCESS:

The Machine Learning technology behind PreSeries

The battle is powered by PreSeriesa joint venture between Telefónica Open Future_ and BigML that uses a diverse set of public and private data about early stage startups to find patterns that help investors foresee which companies warrant a potential investment. PreSeries predictive models are built on top of BigML’s Machine Learning platform and facilitate agile data-driven decisions in combination with the worldwide funding experience of Telefónica Open Future_.

BSSML16

The AI Startup Battle will meet its select audience in a very innovative context, the Brazilian Summer School in Machine Learning 2016. This event is part of a series of Machine Learning courses organized by BigML in collaboration with VIVO and Telefónica Open Future_. Read this blog post for more details.

BSSML16 is a two-day course for industry practitioners, advanced undergraduates, as well as graduate students seeking a fast-paced, practical, and hands-on introduction to Machine Learning. The Summer School will also serve as the ideal introduction to the kind of work that students can expect if they enroll in advanced Machine Learning masters.