Calling Startups to Compete at the Sixth Edition of the AI Startup Battle at PAPIs Connect in São Paulo

PAPIs Connect 2017, Latin America’s 1st conference on real-world Machine Learning applications, is a series of localized events that run in between the annual PAPIs conference events, the International Conference on Predictive Applications and APIs. This year, PAPIs Connect goes to São Paulo, Brazil, on June 21-22, 2017, and will hold the Sixth Edition of our Artificial Intelligence Startup Battles.

The audience, mainly decision makers and developers interested in the latest technology to build real-world intelligent applications, will witness the power of PreSeries, a predictive application built on top of BigML’s Machine Learning platform that provides fact-based insights and many other investment and traction related metrics to help investors foresee which companies warrant a potential investment. PreSeries predictive models are trained with a diverse set of public and private data on more than 370,000 companies worldwide.

The sixth edition of the AI Startup Battle is powered by PreSeries, the joint venture between Telefónica Open Future_ and BigML.

Apply now! 

If your startup uses AI as a core enabler, this battle is your chance to participate in the 6th edition of PreSeries’ AI Startup Battle. The startups selected to compete will be able to pitch on stage, make connections at PAPIs Connect, and get unique exposure among a highly distinguished audience attending Latin America’s 1st conference on real-world Machine Learning applications. The winner of the battle will be taken into consideration by the Wayra Academy and has a chance to get invited to Telefónica Open Future’s acceleration initiatives and services that include: training, coaching, a global network of talent, as well as the opportunity to reach many Telefónica enterprises in Brazil and abroad.

When?

Thursday, June 21, 2017 at 4:30 PM BRST.

Where?

Telefônica Auditorium:  R. Martiniano de Carvalho, 851 – Bela Vista, São Paulo – SP, 01321-001, Brazil.

Application Deadline?

To compete in the battle, please fill out this form before June 11, 2017, and send a short presentation about your company (up to 2 MB) to battle@preseries.com.

For more information on previous AI Startup Battles we recommend that you visit the dedicated page including all the battles performed so far.

Spotlight Feature: Investor Rankings

Whether it’s keeping tabs on peer’s syndicates, strategies, portfolios, or raising fresh funds from investors; both investors and entrepreneurs need a simple yet powerful way to filter data about investing entities. If you’re an investor think of our Top Investors section as your go-to-feature to quantitatively compare yourself to the competition and quickly establish meaningful benchmarks.

If you’re an entrepreneur lucky enough to see some traction, you might be considering raising funds to support your growth. From seed to late stage, the time you need to allocate to look for funds will never stop to increase. The life of a startup is very demanding and time spent researching investors means less time spent on your product. We believe you should spend time talking to investors instead of searching for them in an ad-hoc manner, so we built the PreSeries Top Investor section with that in mind. It basically allows you to filter investors using your own criteria to help you focus on the ones most likely to invest in your startup.

PreSeries currently lists over 40k+ investors ranging from seed-focused VCs to corporate investors leaning towards late stage deals. In order to easily search among all the profiles in our database, we invite you to use the filter options available at the top. You can filter investors by name, by location (country and city), by development stage (concept, seed, product development, market development, and steady), by industry area (700+ to choose from), and investment period.

The default view of the Top Investors section offers quick insights on the investing entities ranked by total amount invested (just click on a column to change the ranking criteria). For every investor, you are able to see what some of the drivers behind their investment decisions are. We show the preferred country and city of investment along with the number of deals for each. You also have access to information about the preferred investment stage (i.e, concept, seed, product development, market development, or steady), and the main investment area including the corresponding number of deals. On the right hand side are the total number of companies, deals and amount invested by each entity. The last column shows the overall PreSeries score of each investor (from 0 to 100). This score represents the general performance of the investor, meaning if the Return On Investment over their entire portfolio was significant enough.

By choosing the histogram view, you can easily see the distribution of investments with the green bar representing the preferred country, city, stage, and area. Hovering your cursor over bars on the bar charts will give you additional information, as seen on the image above. To facilitate comparison among the investors listed on the page you can switch between relative or absolute values, and use the same or a different scale.

That’s it for Investor Search & Rankings. Make sure to check our other Spotlight Feature blogposts for a complete lowdown!

Spotlight Feature: Company Trends

When on the lookout for new investment opportunities, being able to identify trends is the first step on the road to uncover the next most promising industries and startups. With a growing number of early-stage companies keeping traditional markets saturated, we see competition intensifying and under-the-radar industry areas getting more attention than ever. Keeping tabs on numbers of investments, amounts invested, numbers of exits, and other relevant metrics from the startup world, is the foundation for a successful data-driven investment practice that knows when to deviate from the beaten path. The PreSeries Company Trends section is the perfect feature to future proof your investment strategy by understanding where to direct your attention to stay ahead of the pack.

Of course, not every trend matters to everyone. As a professional investor, you most likely follow an investment thesis, a strategy that helps you determine which companies to invest in. In PreSeries, the Company Trends feature aims to help you find trends that match your investment philosophy. As seen above, you can find trends for companies matching your desired criteria such as: status (Running, Acquired, Acqui-hired, IPO, Zombie, and Closed), location (Country and City), industry area (more than 700 to choose from), and date of foundation.

After applying the filters, you can choose to generate visualizations from 11 different trends charts. The Founded Companies chart represents the evolution of the number of companies founded over time. The Closed Companies chart does the same but for closed companies. The IPO and Acquired Companies charts depict the number of companies with successful exits over time.

You can also generate charts for relative values such as Time to IPO, Time to be AcquiredTime to Close and Time to be Funded. These charts are good indicators on how quickly companies reach any of these states. The sample chart above answers the question “How much time usually elapses between the founding of the companies and the IPO of the companies?”. Last but not least, for any given graph, you can download the visualization as a PNG file and the results in CSV format.

That’s it for Company Trends. Make sure to check our related post on the Spotlight Feature!

Spotlight Feature: Company Search and Rankings

Whether you are an investor on the lookout for the next promising startup, an incubator program searching for the best way to filter your never-ending stream of applications, or simply an entrepreneur gathering intel on your competitors, you need lots of data, a way to filter the noise, and uncover hidden signals. Today, most of the decision-making traditionally resulting from gut-feel and simple business rules are being slowly replaced by data-driven approaches that go beyond our limited analytical skills as humans. We are in the middle of such a revolution and today’s large trove of data coupled with cutting-edge machine learning techniques makes this possible.

But with large amounts of data, comes great anxiety. It’s one thing to have a large dataset, it’s even better when you can make sense of it and quickly derive meaningful insights. If that is what you are looking for, then PreSeries is the right fit for you. We use machine learning algorithms to analyze over 300k+ companies and generate predictive scores that represent their chances of success. The best way to search and filter these companies is through the Company Search & Rankings feature accessible from the Dashboard.

Above, is an example of the combination of filters you can apply to search for specific companies. You can specify company status, location (country and city), development stage (concept, seed, product development, market development or steady), and industry areas (e.g. “Mobile” and “Personal Health”).

Once the filters are applied, the result page ranks the companies matching the chosen criteria. By default, all companies are ranked by their overall score in the Top Companies tab (as seen above). The result page includes the following information: company name, current status, location (country and city), current stage, industry areas, overall score and recent changes in overall score. Clicking on the company name will automatically redirect you to the corresponding Company Profile page. You can find more about company profiles here. Clicking on a Country, a City or a specific Area will display all companies matching the selected criteria. The “star” and “pin” icons under the company names are quick and easy ways to add companies to your Starred Companies and Bookmarks respectively.

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The Mover and Shakers tab is similar to the Top Companies tab, but instead of ranking the companies using their overall scores (i.e., absolute values), it ranks them by the recent increase in their overall scores (i.e, relative values). Companies listed in this tab are worth paying attention to, a sharp increase in score is often the reflection of improved performances and maybe even a hidden unicorn?

Go to PreSeries now and request your free trial!

That’s it for the Company Search and Rankings! As always, we’d love to hear about your thoughts and feedback.

PreSeries opens its doors!

We are thrilled to report that PreSeries is opening its doors! As we celebrate the official launch, we’d like to invite all of you to try it out.

Enter PreSeries

If you work in venture capital, corporate strategy, innovation, M&A or investment banking, chances are you are spending too much of your time scouting for the most reliable and up-to-date data sources only to spend even more time to clean, prepare the data, and perform analyses to derive meaningful insights. Given this complex data landscape, PreSeries is positioned to be the Swiss Army knife that gives you an unfair advantage over other investors. With our unique approach taking advantage of Machine Learning to assess a startups’ likelihood of success, we allow you to cut through the noise and focus on what matters. After all, data-driven approach to early-stage investment is the only way to remove our human biases once and for all.

PreSeries is also the perfect solution for cash-hungry entrepreneurs. Fundraising activities often feel like hunting for whales on makeshift raft for many startup founder’s in an ocean of investors with fickle interest. Using PreSeries to target the right VCs is the equivalent of upgrading to a naval grade vessel. Now, you’re finally able to gain first-hand knowledge of VCs most likely to invest in your company and discard the ones that will likely take your precious time by making you run around the block twice.

If you are an analyst or a data-scientist, there is a high probability you’re not a fan of data fairytales. You have to see it to believe it. Well, you’re in luck! With the PreSeries Analyst Platform (powered by BigML), we give you access to PreSeries’ Machine Learning engine room. You’ll be able to look under the hood to not only access but also customize our consolidated datasets, Machine Learning models, predictions and much more.

More blog posts detailing specific PreSeries’ features will be published on a regular basis, so stay tuned!

P.S.: If you’re interested in a demo, simply get in touch with us at sales@preseries.com and we’ll schedule one in no time.

Spotlight Feature: Company Profiles

The PreSeries interface is built with the power-user in mind, which is why we opted for a dashboard-type design that makes it easier than ever to quickly access vital insights about startups, investors and industry areas without sacrificing quality for convenience. In fact, all of PreSeries’ features follow this balanced principle.

In this post, the focus will be on one of our central features: Company Profiles. Company Profiles include all important information that PreSeries gathered on startups from around the globe as well as unique predictions based on our own estimation of their likelihood of success. In other words, on top of the traditional descriptive information such as funding data and online metrics, every company profile comes with its own predictive scores that represent our data-driven assessment of  its future performance.

Let’s take a section-by-section look at a sample company profile, and see what kind of information and predictions can be found. Today, our test subject will be the Google backed augmented reality startup, Magic Leap.

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First things first, the top section is dedicated to general information about the company (picture above). Next to its name is the company current status: running, acquired, IPO, zombie or closed. Each company comes with a short description of its activity, date of foundation and main areas of activity with the top area being shown in blue. Additional information such as the last time company data was updated, links to company’s official website, its social media and Crunchbase profiles are also available.

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On the top right corner we have the company’s predictive scores. They are computed by PreSeries Machine Learning algorithms. If you hover your cursor over them, a popup box appears with an explanation of the score’s meaning.

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In the second section (picture above), we feature our own predictions regarding the most likely future status of the startup. We compute probabilities for the following possible outcomes: IPO, get acquired, get “acqui-hired”, keep running as a going concern, become a “zombie “, and go defunct. We also compute the estimated time frame in which an exit is most likely to occur. In the graph below, PreSeries distinguishes between five different stages in a startup’s life: Concept, Seed, Product Development, Market Development and Steady. Depending on the company’s currently available information, PreSeries also makes a prediction on its current stage.

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Next, is the section about funding. It features a chart representing the history of the company’s fundraising activity including total and detailed amounts by round, most recent series of funding, financing types applicable and of course the corresponding dates.

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The metrics section (seen above) allows you to visualize the historical trend of every metric gathered as well as the predictive scores computed by PreSeries. This way, you can easily assess the evolution of a company’s metrics independently to get a better understanding of its context over time.

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The last section in every Company Profile page features how the selected startup compares against other companies in terms of its financing structure in the Similar Companies section (the 10 companies on the left), and in terms of product/service offerings in the Competitors section (the 10 companies on the right). The scores represent the degree of similarity between the companies and the selected startup.

Go to PreSeries and request access now!

That’s it for the Company Profile page! As always, we’d love to hear about your thoughts and feedback.

PreSeries’ Algorithm Chooses Pixoneye as the Startup Most Likely to Succeed

PreSeries, the joint venture between Telefónica Open Future_ and BigML, staged the fourth edition of the Artificial Intelligence Startup Battle yesterday (Tuesday, February 28). The event took place at the main stage of the 4 Years From Now (4YFN) event, the startup focused platform of the Mobile World Congress that enables investors and corporations to connect with successful entrepreneurs to launch new ventures together. More than 500 attendees witnessed this unique battle, where no humans were involved in assessing the contestants. Instead, the Machine Learning algorithm of PreSeries chose the winner.

This fourth edition followed the footsteps of the previous AI Startup Battles, the first one celebrated in Valencia last March 15, 2016, the second one in Boston on October 12, 2016, and the third one in Sao Paulo on December 9, 2016, where PreSeries’ algorithm asked a number of dynamically selected questions to each contender in order to provide a score between 0 and 100. The startup with the highest score won the contest as the system deemed it to be the one with most likelihood of future success. The predictions are based on historical data from more than 350.000 companies from around the world.

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Pixoneye, the winner of the Artificial Intelligence Startup Battle at 4 Years From Now conference. Ana Segurado, the Global Manager of Telefónica Open Future_ gives away the award (left) to Pixoneye’s Erin Bronstein (right).

With a score of 96.63, the winner was announced as Pixoneye. Pixoneye is based in London and Tel Aviv, and offers the ability to analyze the untapped power of mobile users’ photo galleries on behalf of their clients. The second place finisher was Action.ai with a score of 94.00, an English company that develops chatbots that revolutionises customer interactions for businesses and user experiences. The third position, with 67.82 points, was for people.io of London. people.io gives people ownership of their data to enable the next phase in the evolution of human connectivity. Finally, the fourth placed contestant (with a score of 61.23) was Descifra of Mexico, which helps businesses understand the characteristics of the markets around them through easy to understand charts, tables, and maps.

As in previous battles, the audience enthusiastically warmed up to the idea of an AI system judging the contestants after the pitch sessions and was excited to witness Pixoneye being crowned the latest AI Startup Battle winner.