PreSeries Predicts! Our A.I.’s Ranking Of The Top 10 Startups in FinTech

Originally published on Medium

PreSeries predictive algorithms crawl the web hungry for startup information. So far, almost 400k companies have been ruthlessly processed, scored, and ranked. Today, we offer you a sneak peek at the PreSeries Dashboard and our latest ranking of the Top 10 startups in FinTech from around the globe.

Top 10 Startups in FinTech

PreSeries’ Company Ranking — FinTech (March 9, 2018)

Do you agree/disagree with the ranking? Let us know your thoughts on Twitter with the hashtag #PreSeriesPredicts

1 — Nubank

Nubank is the leading fintech in Latin America. Using bleeding-edge technology, design and data, Nubank is committed to fighting complexity and empowering Brazilians to take control of their finances. Over 8 million people have applied for its mobile-controlled credit card since its launch on September 2014. Located in the Pinheiros region of São Paulo, Nubank has raised USD 180 million in investment rounds led by Sequoia Capital, Founders Fund, Tiger Global, Kaszek Ventures, Goldman Sachs, QED Investors and DST Global.

PreSeries’ overall scoring of Nubank over time

2 — StreetShares

StreetShares offers unique financial solutions for America’s heroes and their communities. StreetShares’ technology captures the social loyalty that exists within the military community and harnesses that trust to lower risk in financial transactions. StreetShares provides a suite of specialty finance products focused on the military and veterans market, including small business funding, lines of credit, and alternatives to VA small business loans for vet-owned businesses. StreetShares is also a factoring company offering invoice factoring and account receivables financing for the government contract (GovCon) community, as well as the StreetShares Patriot Express® program. StreetShares offers alternative investments, including a veterans social-impact investing product called Veteran Business Bonds. StreetShares is veteran-run and located outside of Washington, D.C.

PreSeries’ overall scoring of StreetShares over time

3 — Bond Street

Bond Street is a startup focused on transforming small business lending through technology, data and design. Small business owners are the foundation for growth in our economy, and yet today’s banking system has left them behind. They’re building a better future where access to financing is simple, transparent and fair. They’re backed by a renowned group technology and financial services investors and are building a world-class team in New York City.

PreSeries’ overall scoring of Bond Street over time

4 — Shufti Pro

ShuftiPro is a digital identity verification application that offers an intelligent mechanism for the verification of ID card, Passport, Driving License, and Credit/Debit card. Their mission is to enable businesses eliminate customer’s identity frauds and increase their profitability. ShuftiPro is an online verification application designed to minimize online identity frauds while providing businesses a viable solution to trim down the risks involved while maintaining KYC. It has specifically helped online merchants in making online transactions secure. ShuftiPro is currently supporting 150+ languages in more than 150 countries.

PreSeries’ overall scoring of Shufti Pro over time

5 — Bancor

Bancor Protocol™ is a standard for the creation of Smart Tokens™, cryptocurrencies with built-in convertibility directly through their smart contracts. Bancor utilizes an innovative token “Connector” method to enable formulaic price calculation and continuous liquidity for all compliant tokens, without needing to match two parties in an exchange. Smart Tokens™ interconnect to form token liquidity networks, allowing user-generated cryptocurrencies to thrive. For more information, please visit the website and read the Bancor Protocol™ Whitepaper.

PreSeries’ overall scoring of Bancor over time

6 — Cadre

Cadre provides superior access and insight to the universe of alternative investments. Founded in 2014 by Ryan Williams, Cadre is a marketplace where investors benefit from greater transparency, actionable information, lower fees, and more flexibility. The company’s innovative technology drives efficiency and powers insight for its participants. Cadre has raised approximately $135M in funding and transacted on several hundred million dollars worth of investments to date.

PreSeries’ overall scoring of Cadre over time

7 — Proplend

Proplend’s FCA approved peer to peer lending platform connects investors direct to creditworthy borrowers — enabling investors to earn attractive returns and borrowers to gain access to funding that may not otherwise be available. Investors choose which loans and borrowers to lend to, investing to the loan to value-based risk tranche(s) they’re comfortable with. All loans are secured by income producing UK commercial property.

PreSeries’ overall scoring of Proplend over time

8 — Spotcap

Spotcap empowers small business owners with tailored finance, allowing them to focus on what really matters — their business. The company assesses the real-time performance of businesses to grant short-term credit lines. Headquartered in Berlin Germany, Spotcap launched in Spain in September 2014 before expanding to the Netherlands and Australia in 2015, the UK in 2016 and New Zealand in 2017. The company is led by Founder and CEO Jens Woloszczak. The growing team currently consists of more than 120 employees globally. Spotcap is backed by a number of world-class investors including Rocket Internet, Finstar Financial Group, Access Industries, Holtzbrinck Ventures and Heartland Bank.

PreSeries’ overall scoring of Spotcap over time

9 — Octane Lending

Octane Lending is a point of sales finance and insurance marketplace that helps salesmen help their customer’s obtain financing. They are currently focused on the recreational market (motorcycles, ATVs, UTVs, Personal watercrafts, boats, RVs and snowmobiles). Their web based platform helps dealers save time by eliminating the need to rekey customer information and helps move more units by opening dealerships to more prime/subprime lending sources. They leverage their large merchant network to act as an efficient compliment to lenders’ existing loan origination systems.

PreSeries’ overall scoring of Octane Lending over time

10 — Kasisto

Kasisto leverages decades of research and development in artificial intelligence. KAI Banking enables financial institutions to add virtual assistants and smart bots to their mobile apps and leading messaging platforms. With an emphasis on great user experience, KAI-powered virtual assistants and smart bots are easy to implement, customize and maintain.

PreSeries’ overall scoring of Kasisto over time

 


Love PreSeries AI-driven rankings? Stay tuned, follow us at @PreSeries & #PreSeriesPredicts

Want to give PreSeries a go? Get in touch here!

Startup raises £100,000 from an AI-powered VC in seconds, live on-stage!

Originally published on Medium
7th AI Startup Battle at PAPIs ’17 (Boston, Oct. 2017)

Boston, October 2017… I thought I heard a mosquito fly. The room was packed, but everyone yet remained silent. All were focusing their attention on a little device on-stage. A small black vertical cylinder was stealing the show, before it even started. “Is it … an Amazon Alexa?” said someone, and curiosity was quick to fill the whole room. Everyone had a theory about why a voice-assistant was being prepped like an athlete ready to enter the field. Excited but yet a bit more worried were the people in the front row, startup founders. They knew what was about to happen. An AI was about to judge their startups live on-stage, and in the end, choose a winner. The tension was palpable, “you can read a crowd of ‘human’ investors, but how do you approach an AI”?

Suddenly, a deep voice arose from the stage: “Alexa, ask PreSeries to start the Battle”. A mere second later after the host’s command, the little black cylinder was awake and hungry for startups to judge. “I am ready to score the first startup” it said calmly.

Startup founders then took turns, 1–2 minutes each on stage, to answer questions from the PreSeries AI. The questions revolved around team composition, founders’ background, proprietary technology or industry characteristics.

PreSeries in action!

“Ok, that’s everything I needed to know” said PreSeries. It only took 8 minutes to collect and evaluate the necessary information to determine, among 5 contenders, which one is most likely to succeed. “Ask PreSeries who is the winner?” commanded the host. “The winner is GreenSight Agronomics” replied the AI. One of the attendants, a local VC, said “the funny thing is that, the winner was my favourite!”

The next AI Startup Battle will be at PAPIs Europe (April 5 — London)

Impressed by an AI thinking like a VC? Now remember about the last time that you missed on a deal because your process was too slow… Maybe you took a lot of time to learn about that company… Or maybe your decision making process was too long because you needed to gather more data … The problem here is our own limitations as investors. Spotting the signals that are good predictors of success for startups is not easy. Because we’re dealing with such uncertainty, the amount of data needed to decently derive startups insights and uncover actionable trends is considerable. Fortunately for us, machine learning (ML) provides the answer.

We are witnessing the adoption of ML across the entire venture capital industry at an ever-accelerating pace. Some VC firms started a while ago to use machine learning, but most of them are just taking their first steps. From data collection, processing, to predictive insights … the preachers of disruptions are the ones being slowing disrupted (Google, Hone Capital, Fly.vc, InReach Ventures, Sequoia, Kleiner Perkins, etc.)

If you invest in startups for a living and feel that you are not doing any of this …

We created PreSeries with the vision of a faster, more efficient and transparent process to allocate resources in the startup community. We do the heavy lifting when it comes to data collection and predictive modeling.

The more relevant data you feed machine learning models, the better the quality of the analysis. By using machine learning in lieu of manual guess-estimates (read “spreadsheets”) to evaluate startups, you not only address the breadth of information you can handle, but you’re also able to automate and drastically reduce the cost of the whole process.

We built PreSeries for that purpose. We want startup investors to concentrate time and money where it matters, not on technical tasks like collecting, processing, or evaluating data. Startup scouting and assessment should be like breadcrumbs in your budget. Let us show you how!

We argue that by liberating time from scouting and screening, you can spend time on helping your portfolio companies, which is what we believe venture capital will be all about in the future. (Check out Hunter Walk’s VC time distribution to get a better idea of current time distribution.)

Let our AI invest £100,000 in your startup!

We recently announced that London-based AI Seed venture capital fund will be investing £100,000 in the winner of the next AI Startup Battle that will take place on April 5, 2018 in London at PAPIs.io Europe. And as you already know: No humans in the jury. More info and prizes details here!

>> APPLY NOW <<

The AI Startup Battle arrives in London — Apply now! (Pss: our jury fits in a box!)

Orginally published on Medium

Human v.s. AI has always been a major theme in science fiction. Our love for storytelling and fear of unchained technology still feeds the idea that one day we will loose control over the machines we built. In reality, machine-learning is a bit more boring and mankind is still far from being doomed. We all had dreams of human-like androids and sentient computers, but instead we have Roomba® vacuum cleaners and trust issues when using Google Translate.

The Singularity is nigh!

Instead of preaching the singularity we therefore prefer to concentrate on a friendlier sub-domain of AI: Machine Learning for Startup Investing. Overall, the financial industry is one of the largest benefiting from AI. Machine Learning coupled with vast amount of information helped change the mantra from “more data is better” to “actionable insights are better”. Nonetheless, the venture capital asset class is still playing hard to get. In order to solve this issue firsthand, we decided to build a Machine-Learning-as-a-Service (MLaaS) platform that collects information from a vast set of sources and then generates automated real-time insights & scores about startups and their industries. Startup investors can now easily make data-driven investment decisions. More on our website.

A “VC-in-a-Box” & one-of-a-kind startup battle!

Better insights make better investors, but great investors are able to take decisions in a very short amount of time. Therefore, why not put our AI to the test where startup investors usually don’t have much time to assess potential investments: startup competitions! For this very reason, 3 years ago, we launched a series of international startup competitions where our AI is tasked to replace a whole “human” jury. #HumansNeedNotApply. We call our events the AI Startup Battles and they’ve already been featured in Spain, Brazil and the United States (check our blog). In our competitions, contenders interact live with our AI through a little voice-enabled device present on stage (hence the name “VC-in-a-Box”).

PreSeries’ voice interface is powered by an Amazon Echo

Our AI asks the participants a set of questions looking for fact-based insights as well as many other investment and traction related metrics. It imitates human investors in the types of questions it asks but the breadth of information it can access in real-time is unmatched. PreSeries’ predictive models are trained with a diverse set of public and private data on more than 370,000 companies worldwide and can derive actionable insights in matter of seconds.

We believe that our AI can do a great job at judging the potential of an early-stage startup looking at features around team composition, its industry, its technological edge and its funding history. There is nothing more entertaining than having an data-driven algorithm decide of your fate! Don’t you agree

Note: If you are organizing startup competitions and are ready to bring it to the next level, get in touch with us and we’ll help you organize your very own AI Startup Battle using PreSeries. Let’s talk at battle(at)preseries(dot)com!

AI Startup Battle @ PAPIs Europe

If your heart is pure and you are not afraid to face our digital mastermind, I warmly invite you to apply to participate in the 8th edition of our AI Startup Battle in London (April 5th 2018). The competition is hosted by PAPIs Europe, an international conference on the latest innovations to create real-world Machine Learning applications. It features amazing demos and talks by renowned international experts in AI.

Up to the challenge? Then, fill in the application form available HERE before March 5, 2018! If your startup uses AI as a core enabler, this battle is your chance to get under the spotlight. The startups selected to compete will be able to pitch on stage, make connections, exhibit at PAPIs Europe, and get unique exposure among a highly distinguished audience.

Our co-organizers:

  • PAPIs — PAPIs is the 1st series of international conferences dedicated to real-world Machine Learning applications, and the innovations, techniques and tools that power them. It combines the best of industry and academic conferences, with its expert committee of reviewers and its publications in PMLR. PAPIs is also committed to increasing diversity in ML by making it easier for certain groups to attend conferences.
  • BigML — BigML is the leading Machine Learning company that pioneered the creation of Machine Learning as a Service (MLAAS). BigML offers a consumable, programmable and scalable Machine Learning platform that makes it easy to solve and automate Machine Learning tasks. BigML’s platform helps tens of thousands of analysts, software developers, and scientists from organizations of all sizes and industries to transform data into actionable models.
  • AI Seed — AI Seed offers investment and support for the next generation of Artificial Intelligence founders. They invest early in prime movers to leverage proprietary power and harness data network effects across the value stack. They aim to identify exceptional technical teams using AI to re-imagine industries. They act as trusted partners and understand founders are the ones building their company, they are simply there to help them reach their full potential. Whilst they strive to use data to inform their investment process, ultimately they are founders backing founders and will always be aligned.
  • Telefónica Open Future — Open Future is Telefónica’s global program of entrepreneurship and investment, aimed at attracting innovative products, services and talent to the Company, with the goal of integrating them into our value proposition for customers.It includes several initiatives of proven success, such as the Telefónica Ventures and Amérigo investment funds, the start-up accelerator Wayra and the Think Big and Talentum initiatives

Prize: £100,000 investment by AI Seed & access to Wayra (Telefónica’s incubator)

AI Seed is offering to reward the winner in the form of a £100,000 investment. The investment is subject to approval from AI Seed and must meet the following conditions: (1) Satisfactory completion of Company due diligence, (2) Satisfactory completion of Founder due diligence and anti-money laundering checks, (3) All employees having entered into employee contracts in a form acceptable to the Fund, (4) Receipt of a disclosure letter with respect to warranties (wherein a general disclosure of a data room is unacceptable) (5) Receipt of agreements assigning IP rights to the Company in a form provided by the Fund and executed by each employee, (6) Receipt of board minutes recording Company changes, (7) Completion of shareholder resolutions adopting Company changes, and (8) Payment of the Fund’s fees and expenses by the Company.

The winner of the battle will also have the chance to participate in Telefónica Open Future _ Program. In this respect, the winner may have access, up to six months, to Telefónica Open Future’s pre-acceleration services, subject to space availability (desk space and connectivity). After the six-months of pre-acceleration, the winner will be evaluated and, in case of a positive evaluation by Telefonica Open Future, the winner may have access to Wayra’s Acceleration Program. Wayra Acceleration Program offers financing for up to 50.000$ in the form of a convertible note and acceleration services, for a maximum period of 12 months, valued in a maximum of 70.000$, subject to the fulfillment of certain milestones agreed with Wayra (in the form of physical co-working space for the team, connectivity services, access to its network and know-how, consultancy services, entrepreneurship training, access to the Wayra network of potential investors, other entrepreneurs and practitioners from the venture capital industry).

May the data be with you!

How to organize an entertaining startup battle with your PreSeries AI judge

Originally published on Medium

Today, startup competitions, idea pitches, and demo days are everywhere. If you are an entrepreneur looking for the best place to promote your business, event scouting can become a full-time job. But hey, better drown in opportunities than begging for attention, am I right? If we’re looking only at 2017, there were almost 4,000 startup-related events around the globe (source: Crunchbase). But why so many of them? Well, startup competitions, demo-days, and the like are a very popular way for event organizers to increase the outreach of an event/conference by playing the “entertainment” card, and a great way to get some sponsorship. Let’s assume that 50% of all these events held some kind of startup competitions (conservative coin toss), it’s around 2,500 startup competitions for 2017 only. When you take into consideration that it easily brings media coverage you understand why everyone is fond of them, from entrepreneurs to event organizers, and of course, investors.

While we agree that the participation of startups makes events more entertaining and engaging, we don’t see any kind of innovation happening in how startup competitions are being done. Which is surprising coming from a community of disruption-lovers. The format is always the same, first the startups pitch, then the jury asks some questions, and last but not least a winner is selected.

At PreSeries, we spend every minute of everyday thinking about AI and startup investing. And seeing the format of startup competitions untouched by disruption was making us sad! We had to do something! In an effort to solve this problem, few years ago we launched, in collaboration with the PAPIs conferences, our own series of events. We call them the “AI Startup Battles” and our mantra is “Not yet another normal startup competition”. This time, the entire jury is being replaced by PreSeries very own AI. Our AI does the job of engaging in live Q&A sessions with the contenders on stage and is able to extract real-time insights thanks to machine learning. It leverages a database of more than 370k companies to compare with. Our very talkative AI is able to discuss with the contenders via a custom Amazon Echo present on-stage, making it a very space-efficient jury as it can fit in a small box.

We believe that our AI can do a great job at judging the potential of early-stage startups by looking at features around team composition, industry, technological edge and funding history. We think there is nothing more entertaining than having a data-driven algorithm decide your fate in real-time! Don’t you agree?

Maybe you need to see it to believe it? Then, if you are in London in April, you better not miss the 8th AI Startup Battle at PAPIs Europe (April 4).

As an event organizer, you can also bring the AI Startup Battles to your event, lucky you! We can help you transform your startup competition into a unique AI-driven moment that your guests won’t forget. For more info, get in touch at battle(at)preseries(dot)com and we’ll make sure that the power of PreSeries remains on your side!

PreSeries joins FinTech Sandbox

Originally published in Medium

Building a FinTech startup is like riding a carriage on a dirt road. Sure it’s exciting to follow the path less traveled, but say hello to the bumpiest ride of your life. In this analogy, let’s imagine that PreSeries, our machine-learning platform for startup investors, is a FinTech carriage that needs to find its way through the “data potholes”. With practice, navigating through the uncharted territory of startup data becomes a second nature, but the dream of a road paved with better data remains strong.

The 4 steps of working with startup data!

But why is working with startup data such a challenge? At PreSeries, we are building an automated platform to scout and assess startups from around the globe in few clicks. It goes without saying that startup data is our lifeblood but is … well … scarce, often outdated, expensive to source, and you encounter missing data as often as the word “disrupt” at a tech conference. That’s the nature of working with early-stage private companies, they’re not really open books. But hey, hate the game not the players, right?

This is why we are very happy to announce that PreSeries is joining the FinTech Sandbox program. FinTech Sandbox is a Boston-based nonprofit that drives global FinTech innovation and collaboration. Their 6-month program provides access to data feeds and APIs from industry leading data partners, top quality cloud hosting from infrastructure partners, and much more. FinTech Sandbox is a thriving community of 2,200+ members, 70+ startups, and 40+ partners. We are thrilled to join this growing digital family!

This is an important step for us!

  1. Being part of such an amazing community of FinTech passionate experts makes us really proud. If you are amazed by the team running FinTech Sandbox (jean donnelly, David Jegen, Sarah Biller or Mona M. Vernon to name just some), or the data partners (ThomsonReuters, S&P Global, Dun&Bradstreet or Edgar to name a few), you would also like to check the startup alumni section: Quantopian, CircleUp or Nutonian among others.
  2. Access to new premium data streams will help us increase the quality of our machine learning models. We want to develop the right models and tools so that our users are later on able to access and customize depending on their preferences.
  3. Lastly, we are excited to work with the FinTech Sandbox data partners and explore ways to develop long-standing relationships with them. We are advocates for more data to find and assess startups and are excited to open a whole new market in terms of data consumption with the venture capital community.
The PreSeries Dashboard

Our mission is to build the long-awaited crawling & machine-learning infrastructure needed for better startup scouting and analysis, so startup investors don’t have to! For venture capitalists, our SaaS platform is eliminating the time and cost of building their own machine-learning solution by democratizing access to predictive technologies. We are saving investors an estimated 2 to 5 years of development and between $6 to $10 million a year in development and maintenance cost (infrastructure, data providers, engineers and analysts salaries, etc.).

On a last note, I want to stress the fact that PreSeries is growing and looking for passionate people to join the team. If you want to help us make venture capital a more data-driven practice, fill out our application form! We’re looking for data engineers, data scientists, designers, front-end developers, as well as sales & marketing people. Looking forward to your application!

GreenSight Agronomics wins the 7th A.I. Startup Battle at PAPIs ’17

The 7th A.I. Startup Battle (hosted by PAPIs ’17 at Microsoft N.E.R.D.) came to an end yesterday in Boston in fully automated fashion. The jury of this unique competition, PreSeries’ algorithms, has predicted that GreenSight Agronomics is the startup most likely to succeed in comparison to the three other contenders. After an intense Q&A session between the startups and PreSeries (through a voice-enabled device present on stage), the A.I. ranked the participants and crowned GreenSight Agronomics. They provide an automated, agronomic intelligence platform for superintendents, land managers, and farmers. They combine automated drones, patented sensors, and proprietary analytics to deliver customers maps and alerts enabling them to better manage water, pesticide, and fertilizer usage. They are already the leader in turfgrass remote sensing and analysis. They are helping Top-100 golf courses across the U.S. and Canada reduce water consumption, better task labor associated with irrigation and moisture measurement, and achieve better outcomes with fewer fungicides, pesticides, and fertilizer.

Winners of the 7th A.I. Startup Battle: GreenSight Agronomics represented by James Peverill, CEO & Lilian Ting, Director of Business Development

In the battle, all five startups have had the chance to introduce their company during a 5­-minute pitch prior to the human-A.I. interaction. 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 (our very own ‘VC-in-a-box’).

Klarity, a software that automatically reviews sales contracts (NDAs, Beta, MSA/SLA agmts), so lawyers don’t need to be involved, came in 2nd position. They have completed the first module that uses Natural Language Processing to analyze NDAs and provides the user with (1) an overall risk profile, (2) a list of clauses present and non-present with individual risk profile attached to each clause (green, yellow, red), and (3) detailed analysis of the implications of a clause to the business + actionable insights that help renegotiate the agreement. Their goal is to expand to other contract types and industry verticals and eventually automate all contractual work.

Pearlo, a cloud-based application that helps busy professionals to quickly and inexpensively improve their processes arrived in 3rd position. It is powered by artificial intelligence and, once the user enters the narrative describing how the current process works, the tool delivers a graphical representation of the process, an efficiency score and a set of recommendations for improvement.

Myu.ai, a startup that empowers the many media artists around the world to collaborate remotely in a virtual studio arrived in 4th position. They help collaboration between humans and AI artists, to develop and commercialize original media content (music, film & VR). Their platform provides advanced editors, rights management, and global content distribution. They are a team from MIT and Berklee College of Music, with advisors including Jack Dorsey (CEO of Twitter).

After the event, BigML CEO & Co-founder and President of PreSeries, Francisco J. Martin, shared his thoughts: “Our startup battles have inspired a wide audience of investors and startup founders across the globe who are looking for concrete, quantifiable feedback on their performance on a continuous basis. Boston has naturally become a regular stop given the depth of the startup ecosystem here. We are impressed with arguably the most accomplished set of competitors to date in this 7th edition of the Startup Battle and wish them the best in attracting new customers, gaining further traction and securing new rounds of financing.”

GreenSight Agronomics, the winner of the battle has now the chance to participate in Telefónica Open Future _ Program. In this respect, it is eligible to access, up to six months, to Telefónica Open Future’s pre-acceleration services, subject to space availability (desk space and connectivity). After the six-months of pre-acceleration, PAPIs ’17 winner will be evaluated and, in case of a positive evaluation by Telefonica Open Future, PAPIs ’17 winner may have access to Wayra’s Acceleration Program. Wayra Acceleration Program offers financing for up to 50.000$ in the form of a convertible note and acceleration services, for a maximum period of 12 months, valued at a maximum of 70.000$, subject to the fulfilment of certain milestones agreed with Wayra (in the form of physical co-working space for the team, connectivity services, access to its network and know-how, consultancy services, entrepreneurship training, access to the Wayra network of potential investors, other entrepreneurs and practitioners from the venture capital industry).

For Ana Segurado, Telefónica Open Future_ Global Director, events like the one that we are hosting demonstrate the importance of making use of more technology to help investors make data-driven decision and avoid poor investment outcomes: “Machine Learning increasingly facilitates work with an amount of data and stages that, otherwise, make pricing decisions similar to playing in a casino with marked decks. It gives investors very valuable information that must be very seriously considered to make decisions in a short period of time”.

no_margin

Our next AI Startup Battle will be in London in April 2018, stay tuned on Twitter with #AIStartupBattle and @PreSeries.

Meet the Contenders of the 7th A.I. Startup Battle in Boston!

PAPIs ’17, the 4th International Conference on Predictive Applications and APIs, is a series of annual events where experts come discuss new developments, opportunities and challenges in real-world Machine Learning. This year, PAPIs ’17 returns to Boston, on October 24-25, 2017, and will host the 7th Edition of our AI Startup Battles (Oct. 24).

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 that provides fact-based insights as well as many other investments 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. On the 24th, after the startup pitches in the morning (schedule), our PreSeries A.I. will engage in a Q&A session with the 4 contenders through a voice-enabled device present on stage. It will then score and rank the startups. No human interference will occur during the scoring process, only PreSeries’ algorithms will be in charge of selecting the winner.

Meet the contenders!

At this point, you may be wondering who will be competing in the battle, so let’s get to know the contenders.

Klarity

Klarity builds software that automatically reviews sales contracts (NDAs, Beta, MSA/SLA agmts), so lawyers don’t need to be involved. We have completed the first module that uses Natural Language Processing to analyze NDAs and provides the user with (1) an overall risk profile, (2) a list of clauses present and non-present with individual risk profile attached to each clause (green, yellow, red), and (3) detailed analysis of the implications of a clause to the business + actionable insights that help renegotiate the agreement. Our goal is to expand to other contract types and industry verticals, and eventually automate all contractual work.

GreenSight Agronomics

GreenSight provides an automated, agronomic intelligence platform for superintendents, land managers, and farmers. They combine automated drones, patented sensors, and proprietary analytics to deliver customers maps and alerts enabling them to better manage water, pesticide, and fertilizer usage. They are already the leader in turfgrass remote sensing and analysis. They are helping Top-100 golf courses across the U.S. and Canada reduce water consumption, better task labor associated with irrigation and moisture measurement, and achieve better outcomes with fewer fungicides, pesticides, and fertilizer.

Pearlo

NewPearl, Inc. is the creator of Pearlo. Pearlo is a cloud-based application that helps busy professionals to quickly and inexpensively improve their processes. It is powered by artificial intelligence and, once the user enters the narrative describing how the current process works, the tool delivers a graphical representation of the process, an efficiency score and a set of recommendations for improvement.

Myu.ai

Myu.ai empowers the many media artists around the world to collaborate remotely in a virtual studio, with other human and AI artists, to develop and commercialize original media content (music, film & VR). Our platform provides advanced editors, rights management, and global content distribution. They are a team from MIT and Berklee College of Music, with advisors including Jack Dorsey (CEO of Twitter).

Stay tuned!

Be sure to stay tuned as the winner will be announced right after the event on social media (on Twitter with #AIStartupBattle) as well as on our blog. For more details, please follow us on: LinkedIn, Google+, Facebook, or Twitter. The countdown starts now!