Serri Technologies

Software platform to help data scientists complete their job f...


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THE WORDPRESS OF AI
INNOVATION FROM
THE GROUND UP

The SERRI Technologies team realized something very important early on;

We recognized that, however desirable, the process of applying Artificial Intelligence/Machine Learning(AI/ML) to a business is very difficult.

We set out to design a platform that would:

  • Reduce the difficulties for any business to apply AI/ML
  • Reduce the cost of applying AI/ML
  • Offer a highly effective solution

This led to the birth of our platform, Neurales.


NEURALES: THE WORDPRESS OF AI
INCREDIBLY
PROBLEMATIC

There are 200,000+ open jobs in US market for the position of data scientist.

Unfortunately, there are less than 40,000 candidates to adequately fill the positions.

Most current platform solutions for data scientists rely on deep neural networks, which inherently have many downfalls.


NEURALES: THE WORDPRESS OF AI
ONE INNOVATIVE SOLUTION

As mentioned, our platform offers six different advanced data analytics tools that are essential to the day-to-day job of a data scientists.

We enable you to exponentially increase the productivity of data scientists.

We accomplish this while reducing the entry barrier into the field by eliminating the advanced mathematics and computer science skills required by data scientists.

We bring it all together with three automated business tools to help businesses adopt AI/ML more easily.

Our goal is to help organizations upskill current workers and reduce the entry barrier to fill open data science jobs.

This will help fill the thousands jobs that need to be filled today.


NEURALES: THE WORDPRESS OF AI
KEY FEATURES

Our platform is powered by deep learning, but also our time and cost saving set of proprietary algorithms we developed.

Let's face it: everyone is using deep neural networks, which inherently have many problems for businesses:

  • Require thousands, if not millions of data examples which are not always available
  • Significant technical knowledge needed to implement Deep Neural Networks effectively
  • Expensive GPU requirements
  • And so much more

The proprietary machine learning models that are incorporated in our platform are fundamentally different.

We give data scientists the tools they already utilize on a daily basis but with the benefit of clicking a button instead of writing code.

Then we tailor the platform for business so the applications they create are safe, efficient, and provide a true return on investment

We allow the day-to-day jobs with no coding or mathematics knowledge in an intuitive and visual user interface.

This allows us to uniquely reduce the education gap needed for data science practitioners.

Our SaaS platform, Neurales, provides six user data analytics tools prominently used by data scientists in their day-to-day job:

Then we add on three automated business tools:


NEURALES: THE WORDPRESS OF AI
PRODUCT DEVELOPMENT

We are just six weeks out from our MVP release.

The completion rate for our six data tools is as follows:

The completion rate for our three business tools and UI is as follows:


NEURALES: THE WORDPRESS OF AI
TRACTION &
ACCOMPLISHMENTS

  • NSF I-CORPS Program
  • UMBC Cybertech Incubator
  • Y-Combinator Start-up School
  • MVP close to deployment
  • Our customer acceptance is very strong with discovery of data scientists plus verification of problems in the Industry from consultants with 15+ years in the AI/ML space
  • Letter of Intent for use from a large University

NEURALES: THE WORDPRESS OF AI
MEET THE TEAM


Jeremy Ruroede
FOUNDER AND CHIEF EXECUTIVE OFFICER

  • Ruroede has been referred to as a “hacker” and is a self-proclaimed jack of all trades
  • He is passionate about new technologies and holds skills in Electronics, Coding, Business Development, and Business Management
  • He spent his early career building prototype information systems for the Department of Defense before starting SERRI Technologies
  • He has a certificate from MIT in Business Strategy using Artificial Intelligence
  • He has also completed the Nation Science Foundations ICORPS program


Elliott Zaresky-Williams
CO-FOUNDER/ MACHINE LEARNING RESEARCHER

  • Zaresky-Williams holds a Bachelor's of Science in Mathematics from the University of Maryland
  • He has been researching and developing the S.E.R.R.I AI machine learning algorithm since March 2018
  • He is an expert in applied AI, proficient computer programmer, and Author of an AI book titled,​ “Dreams of Paradise”
  • He holds two publications, one mathematics paper and the other a machine learning paper
  • His publications can be found on ​www.arxiv.org​ and can give further technical insight into how the S.E.R.R.I algorithms operate


Isaac Christian
CO-FOUNDER AND CHIEF OPERATIONS OFFICER

  • Bachelor's of Science in Physical Sciences from University of Maryland
  • Has spent the last seven years at NASA's Goddard Space Flight Center in Greenbelt, Maryland, as a mission planner and real-time system operations engineer
  • Here he has been a part of multiple flagship missions and has been involved with the development of Mission Operations Center Telemetry and Command subsystems
  • Currently Christian oversees all operations and handles front end development


Connor Neuman
CO-FOUNDER AND CHIEF FINANCIAL OFFICER

  • Bachelors of Business Administration in Corporate Finances from Towson University
  • Member of Beta Gamma Sigma and Tau Sigma Honor Societies
  • Private Equity Accountant at the Cordish Companies
  • Pursuing his Masters of Business Administration at University of Baltimore
  • He processes all in-house finances and deals with human resources


Jeff Scruggs
MACHINE LEARNING ENGINEER

  • Bachelors of Science in Transportation systems/ Engineering from Morgan State University
  • Is a skilled, self-taught machine learning engineer who brings experience from the Navel Surface Warfare Center Dahlgren Division
  • His focus is in autonomous vehicles but excels in multiple aspects of machine learning, such as Neural Network creation, facial recognition, and predictive analytics
  • He helps code the proprietary algorithms developed in-house

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