Spotlight Feature: Dashboard API

Making predictions about startups is good, but letting everyone integrate predictions about startups in their apps is even better. And that’s because the real value of predictions is realized when we go beyond “predictive analytics” and start becoming “prescriptive”. In other words, it’s all about making predictive insights actionable. This is the reason why we are releasing our Dashboard API, to let you do just that. Now, all of our predictive scores about startups, investors, and areas, can be embedded into any of your apps and integrated into any of your decision-making processes. For example, you can now combine constant tracking of the performance and traction of your portfolio companies as well as those of your competitors in your own internal app, which also includes top secret financials for your portfolio companies. Currently, our Dashboard API is only accessible to subscribers of the Analyst Plan and our partners (Interested in a partnership? Get in touch with us!).

All of PreSeries, one API

Preseries.io (our API domain) gives you access to the following predictions: company search and company data, as well as the following resources: acquisition, deactivation, company, investor, IPO, patent, person, product, and round. Preseries.io conforms to the design principles of Representational State Transfer (REST). Preseries.io is entirely HTTPS-based. You can create, read, update, and delete resources using the respective standard HTTP methods: POST, GET, PUT and DELETE. All communication with Preseries.io is JSON formatted.

Predictions

Company related properties available via the PreSeries API.

The Company Search allows you to find companies in PreSeries based on preferences. The Company Data endpoint allows you to find information about all the company predictions made by PreSeries. The endpoint is available in two different modes: (1) one snapshot: data related to a specific snapshot. You need to choose between only_last_snapshot or snapshot_date as a query property. (2) time series: all company data points listed in chronological order. This is the default option if neither snapshot_date nor only_last_snapshot is informed. You can specify a time period using the interval property.

A sample of the 38 Company creation related properties available through the PreSeries API.

Resources

A sample of the 39 Company related properties available through the PreSeries API.

Preseries.io also allows you to list, create, retrieve, update, delete your data about company activations, deactivations, general information, investors, IPOs, patents, people, products, rounds of investments.

A sample of the 41 Patent related properties available through the PreSeries API.

A complete list of all the predictions and resources available through the Dashboard API can be found here: preseries.com/developers. We’d like to know more about your application ideas so feel free to get in touch with us to request API access!

A VC-in-a-Box crowned Dataholics.io at the 6th AI Startup Battle in São Paulo

The 6th Artificial Intelligence Startup Battle came to an end yesterday in São Paulo in fully automated fashion. The jury of this unique battle, PreSeries’ algorithms, has predicted with a score of 96.50 out of 100 that Dataholics is the startup most likely to succeed from among other contenders. Dataholics captures and structures millions of data points about people on social networks such as Facebook, Linkedin, Google, Twitter, Google search results, blogs, web portals and online services. Their algorithm creates a unified profile for each person based on behavioral, professional and demographic indicators from their email, cell phone, name or ID.

From left to right: Renato Valente – Country Manager – Telefonica Open Future_ & Wayra Brasil; João Gabriel Souza – Co-Founder & CEO – Mr. Descartes; Eduardo D. Martucci – Founder and CEO – Voice Commerce; Daniel Mendes – Founder and CEO – Dataholics; Dhiogo Corrêa – Data Architect – Itera; Rafael Libardi – Public Relations Executive – Data H.

In the battle, all five startups have had the chance to introduce their company during a 5­-minute pitch. Later on, PreSeries’ AI took the time to ask some questions to all the contenders about key aspects of their business. The exchange was made possible through a voice-assistant device present on stage (thus the name ‘VC-in-a-box’).

Itera, came in 2nd with a score of 86.81. Itera is a technology company founded in 2008 and established in São Carlos/SP, always aiming to build innovative solutions for its clients. They are now investing in a machine learning platform for text mining named ALICE. The platform is currently focusing on finance, and marketing case studies.

Mr. Descartes got the 3rd position with a score of 62.13. This company provides a chatbot to help cities improve their waste management and sustainability. They work in collaboration with local governments, businesses, and people from the community in order to generate data, educate the public and build lasting partnerships.

Voice Commerce was the 4th startup in the ranking with a score of 62.12. Voice Commerce is a voicebot that provides anyone with a simple, objective and secure online purchase experience through voice commands. It creates the perfect solution for people with visual impairment when buying goods and services online.

Finally, Data H achieved the 5th position with a score of 62.10. DATA H is a startup focused on creating intelligent products and artificial intelligence outsourcing of research and development. DATA H has created its own ecosystem to enable artificial intelligence projects for a diverse set of sectors.

After the event, BigML CEO & Co-founder and President of PreSeries,Francisco J. Martin, shared his thoughts: “Having organized our 6th AI Startup Battle in only the last year and a half across the globe, it is amazing to us that humans are surprisingly open and adaptable in trusting PreSeries algorithms to assess the future prospects of startups. What started as a crazy idea has come to be seen as an obvious need. This can be attributed to the investment professionals being overwhelmed with mountains of new data created every day, which in turn highlights the acute need for objective assistance and automation.”

This edition of the battle took place on June 21 in São Paulo, Brazil, at the PAPIs Connect conference, Latin America’s 1st conference on real-world Machine Learning applications.

Our next AI Startup Battle will be in Boston (Microsoft N.E.R.D. – MIT) for PAPIs ’17 (Oct. 24-25), stay tuned on Twitter with #AIStartupBattle and @PreSeries.