On-Demand Correlation Matrix Datasets

for Hidden Relationship Detection in Data & Training in Artificial Intelligence (AI) Systems




Our Mission

"In the future AI will be diffused into every aspect of the economy." - Nils J. Nilsson, Founding researcher, Artificial Intelligence & Computer Science, Stanford University.

We focus on context-controlled NLP/NLU (Natural Language Processing/Understanding) and feature engineering for hidden relationship detection in data for the purpose of powering advanced approaches in Artificial Intelligence (AI) and Machine Learning (ML). Our platform powers research groups, data vendors, funds and institutions by generating on-demand NLP/NLU correlation matrix datasets. We are particularly interested in how we can get machines to trade information with one another or exchange and transact data in a way that minimizes a selected loss function. Our objective is to enable any group analyzing data to save time by testing a hypothesis or running experiments with higher throughput. This can increase the speed of innovation, novel scientific breakthroughs and discoveries. For a little more on who we are, see our latest reddit AMA on r/AskScience (here)!


Vectorspace 'Smart Baskets'

Vectorspace context-controllable correlation matrix datasets can be used to create what we call 'Smart Baskets'. These are groups of assets such as equities or cryptocurrencies that share known and hidden relationships with one another. Detecting hidden relationships between equities, entities and global events based on sympathetic, symbiotic, parasitic or latent entanglement can result in unique opportunities connected to 'information arbitrage'. (More).

The Technology

Try exploring a few datasets for yourself right (here)!

It's Not Magic

At our System's core, as you see in real-time (here), you'll notice we're processing information, such as peer-reviewed scientific literature, as it's published by the minute from the National Library of Medicine along with other news and information sources. We then process this data, build vector space indices, calculate relationships and output updated datasets available via an API. (More).

Backed by Patents

Our proprietary algorithms are based on variants proven within advanced Natural Language Processing/Understanding (NLP/NLU) and Machine Learning (ML) applications. These variants are based on patents our team has invented including a System and Method for Generating a Relationship Network - K Franks, CA Myers, RM Podowski - US Patent 7,987,191, 2011 in collaboration with Lawrence Berkeley National Laboratory. Others such as Google have derived variants of this in 2010.

Are you suprised to find out where you data comes from?

You shoudn't be. Data lineage and provenance is important. Our Data Provenance Pipeline (DPP) hash controls data lineage. Knowing where your data comes from and knowing how reliable it is, is extremely important especially in the areas of Bioscience and financial institutions that rely on robust data to make billion-dollar decisions everyday.

Algorithmically Generated Datasets

Our platform enables deep analysis of global trends in peer reviewed published scientific papers, patents, news, Internet data and research breakthroughs similar to methods like this for the purpose of context-controlled NLP, NLU, NLI, NLG & sentiment analysis enabling unique opportunities for continuous information arbitrage [PDF pg. 17].The dataset services platform can be found here.

VXV wallet-enabled API functionality

We’ve recently introduced the VXV wallet-enabled API key which allows any company to subscribe to our API services in addition to transacting datasets on-demand up to 1000 calls per day for real-time analysis. At this point we’re looking at generating revenue as our next milestone based on tiered subscription levels with each level requiring a different amount of VXV depending on the service offering in addition to other revenue streams. The more important utility feature of VXV relates to optional data provenance and tracking included for a series of parameters, calculations and original data source metrics executed for each dataset snapshot.

Meet Our Team

Caleb Pate

Co-Founder

Caleb Pate

Co-Founder

Data Science, AI & Machine Learning with a focus on feature engineering and cryptocurrencies. Ran an independent music label and continues to create new musical worlds as a Producer, Musician and DJ.

Mike Muldoon

Strategic Advisor

Mike Muldoon

Strategic Advisor

A track record of leading large projects from concept to delivery, and brings over 20 years of experience to the table. #1 employee at SeeqPod, he took the product from whiteboard to 50M monthly active users.

Jim Leftwich, IDSA

UX Design and Intellectual Property

Jim Leftwich, IDSA

UX Design and Intellectual Property

UX design for equipment, devices, desktop/mobile operating systems, and apps in the fields of consumer, medical, automotive, telecommunication, ai, industrial, military, social, and gaming. Branding and Identity. Twenty-nine utility patents.

Johnson Hor

Strategic Advisor

Johnson Hor

Strategic Advisor

A polymath by trade and a polyhistor by hobby. Always learning a bit by taking a byte.

Raymond Walintukan

Distinguished engineer

Raymond Walintukan

Distinguished engineer

Founder of LovelUp.net

Tom Bibiyan

CMO

Tom Bibiyan

CMO

Successfully consulted for over 100 publicly listed companies across the United States and Canada. His roster to date includes companies from the NYSE, NASDAQ, AMEX and OTCBB exchanges.

Sami Hassan

Growth Hacker

Sami Hassan

Growth Hacker

Growth marketing and business development within the cryptocurrency area offering more than 8 years in planning, developing and marketing new solutions to consumer problems. Mr. Hassan is often involved with acute identification of consumer needs combined with developing innovative and competitive business partnerships.

William Wong

Blockchain Engineer

William Wong

Software developer with 6 years of industry experience. Blockchain and smart contract engineer with other focuses in machine learning, full stack web development, mobile app development and data analysis.

Raf Podowski, PHD

Chief Data Scientist

Raf Podowski, PHD

Chief Data Scientist

Scientist, engineer, text and data miner, artist. PhD, Bioinformatics - Karolinska institutet

Mark Gregory

Q&A Eng

Mark Gregory

Q&A Eng

Quality Assurance engineering, head curator, musician and advisor.

Cameron Behbahany

Graphic Design

Cameron Behbahany

Graphic Design

Multifaceted designer with an interest in branding, web/app, & motion design. Other skills include filmmaking and photography. Passionate about details and how they help to elevate design, while finding satisfaction in simplicity.

Jason Toy

Machine Learning

Jason Toy

Machine Learning

Serial entrepreneur, machine learning researcher and engineer

Dr. Gordon Chiu

Scientific & Strategic Advisor

Dr. Gordon Chiu

Scientific & Strategic Advisor

Dr. Gordon Chiu is a visionary, an inventor, an entrepreneur, public speaker, lecturer, corporate advisor, father and an educator. He has a series patents and collaborations with multiple universities. He gave his first Tedx talk in 2014 in the field of graphene and his second Tedx on "inventing happiness". Dr. Gordon Chiu is engaged in the research of high level projects involving data analytics. As one who is interested in blending technology, science and cutting edge knowledge to create breakthroughs around the world, his skills range from a former research scientist at Pfizer and Merck & Co. to solid business links with Wall Street and Asia.

Roshawn Terrell

AI & Machine Learning Engineer

Roshawn Terrell

AI & Machine Learning Engineer

AI Engineer with a focus on Neuroscience, neural networks and machine ethics.

Arjuna Anday

IR Research & Market Data Intelligence

Arjuna

IR Research & Market Data Intelligence

Analyzing tradtional cryptocurrency market data for efficient IR. Researcher (research assistant) at Columbia University Economics Department and Columbia Business School.

Attended Columbia University in NY

Ahmed Khaleel

Strategic Investor Relations

Ahmed Khaleel

Chief Investor Officer, Blockweather Holdings, a Cryptocurrency Hedge Fund. Derivatives Strategist, Algorithmic, and Arbitrage Trader.

Kasian Franks

Serial technical founder & CVO

Kasian Franks

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Serial scientific & technical founder, CEO and CVO of public and private startups, hedge fund algorithm advisor, life sciences researcher, NLP, machine learning, data engineer

   

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