PreSeries is a tool for investors that uses machine-learning algorithms to predict the success of startups in their very early stages. Its co-founder explained the methodology behind it at the 4YFN startup event at Mobile World Congress in Barcelona.

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. 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!

Telefónica Open Future_, Telefónica's startup accelerator that helps the best entrepreneurs grow and build successful businesses, and PAPIs.io Artificial Intelligence (AI) has a track-record of improving the way we make decisions. So why not use it to decide which startups to invest in, and take advantage of all the startup data that is available? The AI Startup Battle, powered by PreSeries (a joint venture between BigML and Telefónica Open Future_), is a unique experience you don't want to miss, where you'll witness real-world and high-stakes AI. As an early stage startup, you will enjoy a great opportunity to secure seed investment, and get press coverage in one of the technology capitals of the world.

PreSeries, a joint venture between BigML and Telefónica Open Future_, is an automated early stage investing tool built on top of the BigML Machine Learning platform. The ever increasing data available about companies, people, successes and other events, can be harnessed by the PreSeries Machine Learning technology to detect patterns that help investors identify new potential investments, track the performance of their portfolios, or see the potential impact of certain decisions, such as new hires, company location, etc. Please visit www.preseries.com for further details.

Last week we previewed this in "How Machine Learning APIs are Being Used to Predict Startup Success." Can there be a quantifiable way to hedge investors' risk and ensure they are betting on the right horse? According to the startup "jury" algorithm PreSeries, it's mathematically probable to predict which startup is most likely to succeed and that startup is Novelti. This startup which uses online machine-learning algorithms to convert Internet of Things sensor data into real-time intelligence, machine learning and pattern recognition was predicted to be successful with an 87 percent likelihood. Novelti beat out four other predictive analytics and artificial intelligence competitors--Intranetum, Emotion Research Lab, Datatrics and restb--at the PAPIs Connect conference for machine learning and predictive APIs.

Most of our readers are likely very familiar with the concept of startup competitions. It almost seems impossible to keep up with the awards and prizes handed out at such events being held week in and week out. However, we are very proud to share that we were able to pull of a truly unique startup competition yesterday at PAPIs Connect in Valencia, one where human judges stepped aside and let Artificial Intelligence figure out the winner. The brains behind this program was designed by PreSeries, BigML's joint venture with Telefónica Open Future_. As such, this organization marked the first public demo of PreSeries, which also began collecting beta user applications on its web site simultaneously.