Introducing the Artificial Intelligence Startup Battle in Boston on October 12 at PAPIs ‘16

Telefónica Open Future_, Telefónica’s startup accelerator that helps the best entrepreneurs grow and build successful businesses, and invite you to participate in the Artificial Intelligence Startup Battle of PAPIs ‘16, the 3rd International Conference on Predictive Applications and APIs, to be held in Boston on October 12 at the Microsoft New England Research and Development Center.


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. On the other hand, attendees will discover disruptive innovation from the most promising startups in AI, as the winner will be chosen by an impartial algorithm that evaluates startups’ chances of success based on signals derived from decades of entrepreneurial undertakings.

Want to compete in the AI Startup Battle?

If you are a startup with applied AI and Machine Learning as a core component of your offering, then we’ll be happy to meet you! 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 October 12 at the closing of the PAPIs ‘16 conference. They will be automatically judged by an application that uses a Machine Learning algorithm to predict the probability of success of a startup, without human intervention.

The five startups selected to present will get a free exhibitor package at PAPIs worth $4,000 each.

The winner of the battle will be invited to Telefonica Open Future_’s acceleration program and will receive funding of up to $50,000. The winner will not only enjoy an incredible place to work but also access to mentors, business partners, a global network of talent as well as the opportunity to reach millions of Telefónica customers.

NOTE: During the acceleration program, part of the startup team should be working from one of the countries where Telefónica operates (i.e., Argentina, Brazil, Chile, Colombia, Germany, Mexico, Peru, Spain, United Kingdom, or Venezuela).

Disrupting early stage technology investments

It only seems like yesterday when Telefónica Open Future_ sponsored the World’s first AI Startup Battle last March in Valencia, when we first introduced PreSeries to the world. The winner of this world’s premiere AI Startup Battle was the Madrid based Novelti, who scored a competition high 86 points. The event was the warm-up round to the upcoming one in Boston. This time we will find out some of the most promising early stage startups in Artificial Intelligence and Machine Learning in North America, Europe and the rest of the world.

As a bonus, the minds behind PreSeries will take the center stage to speak about their technology architecture, e.g., the supporting data, the training of the model, and its evaluation framework. It is a rare opportunity to find out what goes on behind the scenes in delivering this innovate real-life predictive application.

Startup Battle highlights:


  • AI Startup Battle.


  • Wednesday, October 12, 2016 from 5:00 PM to 6:30 PM (EDT).


  • Microsoft New England Research and Development Center – 1 Memorial Dr #1 1st floor, Cambridge, Massachusetts, 02142. USA.


  • To apply to present at the battle, please fill out the application form  before September 29th. Spots are limited and will be awarded on a first come first serve basis.




PAPIs ’16

The scenario of the AI Startup Battle could not be more innovative. The battle is part of PAPIs ’16, the 3rd International Conference on Predictive Applications and APIs. It is a community conference dedicated to real-world Machine Learning and related intelligent applications. Subject-matter experts and leading practitioners from around the world will fly to Boston to discuss new developments, opportunities and challenges in this rapidly evolving space. The conference features tutorials and talks for all levels of experience, and networking events to help you connect with speakers, exhibitors, and other attendees.

As PAPIs conference series makes its debut in the United States, there are also some changes including a pre-conference training day on October 10, 2016.  Curriculum includes Operational Machine Learning with Open Source & Cloud Platforms, where participants will learn about the possibilities of Machine Learning, how to create predictive models from data, operationalize and evaluate them.

Registration to PAPIs ’16 is separate. You can find out more details here.

Re-thinking Early Stage Technology Venture Investing

Venture Lifecycle

Warren Buffet once famously said “Only when the tide goes out do you discover who’s been swimming naked.”, which is distinctly relevant as of early 2016 thanks to a very volatile start to the year in public stocks — including even the eternal favorite tech blue chips. Unicorns, those privately financed tech companies with valuations well over $1 billion, have not been able to weather the market sentiment storm either, thus being forced into the unsavory choice of down round financings to be able to keep executing on their world domination plans.

With all this activity, 2016 makes for a challenging investment climate to say the least. As pundits have heated discussions on financial news networks, investors are getting ready for another potential investment winter against the backdrop of a 7 year bull run losing steam by the day. This points out to a climate, where the easy money of years past funding startups with the right buzzwords in their pitch decks may not be a guaranteed thing in the near future. In other words, we are likely facing a conjecture requiring an elevated level of discipline in assessing a tech venture’s fitness as early in the cycle as possible.

Chances are you have read about the controversial topic of Series A crunch that have been experienced in tech investment strongholds like Silicon Valley. This phenomenon has been a direct result of the supply side expansion of early stage investment sources. As a result, the average startup has found it much easier to secure enough funding to get started. At the same time, costs associated with building a minimum viable product and testing for product-market fit have come down thanks to more flexible product development methodologies (e.g., Lean Startup), scalable and affordable cloud infrastructure services, new open source software frameworks, as well as social media engagement and content marketing powered word of mouth that took the place of paid marketing campaigns (at least in early phases of evolution). To boot, crowdfunding services have sprung up and rapidly scaled such that they have become the go to initial funding platforms for many first-time entrepreneurs in highly fragmented market segments such as e-commerce, consumer products and even consumer hardware e.g. Pebble. They also offer the added benefit of helping recruit paying beta users without having to shell out any equity. They are no panacea though, and many startups find it difficult to cross from early adopters to the mainstream side of the famous “chasm”.

You may be thinking more early stage startups are not necessarily a bad thing, albeit the truth remains that (with intense competition for later stage and growth funding a reality) building a notable company of regional or global scale is still as tough as ever. Every year thousands of metaphorical eggs are spawned only for a few to make it to adulthood after natural selection has its way with the upstream swimming bunch that have to clear one hurdle after another. This proliferation of incomers have also added to the challenge of identifying winner-take-all type entrants early enough for serious investors to be able to recoup the costs of their entire venture portfolios instead of catching those at the tail end, when the valuations are already driven sky high by less sophisticated angels and/or private equity. Without a doubt, Tier 1 VCs still have the inner track given their strong networks and the loyalties of serial entrepreneurs from their past investments. Nevertheless, the task of spotting the next blockbuster has not necessarily gotten any easier for them either.

All of this makes inquiring minds ponder “There has to be a better way!”. At Preseries we are of the opinion that it is high time for early stage investing to catch up with the times and evolve what remains a very manual, clique-driven and subjective practice. At the end of the day, it is proof enough that the current approach leaves a lot to be desired since Uber had to receive seven rejections in one week while trying to raise $150k in exchange for 10% of the company in its early days. We live in an increasingly data driven society awash with information. It is unreasonable to expect any one expert to be able to cope with this incredible amount of intelligence arriving by the minute. We need machines to step up and help us pick up the relevant signals 24/7 in order to be able to stay up to date and people, projects, companies, competition, macro-forces and the consumers at large. As hard as it maybe to imagine for some, we believe venture investing is not necessarily immune to omission from the list of skills that were formerly deemed to be only performable by human experts.

So who needs services like Preseries today? The answer is pretty straightforward: Anyone with a vested interested in picking the wheat from the chaff when it comes to early venture investing. This means private investment offices and angels, who are looking to write a check to the right team of founders. Traditional VCs that aim to zero in on worthy companies earlier than they otherwise would with their current processes. Incubators and accelerators who are looking to systematically accept applicants with the most upside to their programs. Pension funds, endowments and strategic investment fund managers who are looking to evaluate the investing chops of those private investors that they are about the trust with their contributions. Even founding teams that would like to compare and contrast how they fit in within their ecosystem on multiple dimensions.

At Preseries we don’t yet claim to have the magic formula for early stage investing 100% nailed down. Anyone claiming to be in possession of the perpetual energy machine equivalent of the technology investment management will rightfully meet rolling eyes and scrutiny. As such, that claim in itself may be crazy. But what’s event crazier to us is denouncing the value of methodically piecing together relevant traces of information hidden out there in the vast and growing knowledge graphs the web has to offer so as to better assess the outlook for any given technology startup. First augmenting, then perfecting and ultimately replacing the semi-informed yet fallible human decision making is the difficult yet very worthy journey that Preseries has officially set on today.


And not without a bang either. PreSeries is launching at PAPIs Connect 2016, Europe’s 1st Artificial Intelligence conference for decision makers, managers, and app developers. Today’s program includes a first in history startup battle segment, where the winner will be chosen solely by the PreSeries algorithm without any human intervention. So wish the participants luck and stay tuned for more!