Prof. Alex “Sandy”Pentland, MIT, Co Founder.
One of "The World's 7 Most Powerful Data Scientists” - Forbes
After years at MIT, Endor invented the “Google for predictive analytics”, providing automated accurate predictions, fast, with no data science expertise required.
Reinventing predictive analytics with proprietry Social Physics technology and massive machine power, Endor makes accurate predictions scalable and accessible to all.
Dr. Yaniv Altshuler, Co Founder & CEO
Predicting future behavior carries huge $ value, but today’s Machine Learning technology makes predictive AI complex, slow, and expensive:
Only big tech companies can spend millions of dollars to maximize the power of predicting the future for exponential revenues
Powered by MIT’s novel Social Physics technology, and massive compute power, Endor enables business users to ask predictive questions in plain language, and get automated accurate predictions. No data science expertise required.
Every company can scale predictive analytics, get immediate time to market with no data science expertise, and boost growth based on unlimited accurate predictions.
The protocol optimizes each prediction through an automated selection of the most relevant behavioral clusters, regardless of engine or data sources
Build predictive apps, get EDRs upon usage
Use a self-service interface to define a desired behavior, and get an accurate “look-a-likes” prediction
Social Physics is a new science that uses big data to build a predictive, computational theory of human behavior.
Endor extended Social Physics using proprietary technology into a powerful engine that is able to explain and predict any human behavior.
Prof. Alex "Sandy" Pentland, MIT, Co Founder
We are coming to realize that human behavior is determined as much by the patterns of our culture as by rational, individual thinking. These patterns can be described mathematically, and used to make accurate predictions
Prof. Alex Sandy Pentland, MIT, Co-Founder
One of “The World's 7 Most Powerful Data Scientists
Instead of building a model per each predictive question, build one ”Social Sphere” of human behavior and ask unlimited predictive questions. This enables the democratization of predictive science.
”Social sphere” = groups of objects, who are NOW acting similarly. It is being refreshed upon need.
Learning from numerous orthogonal data sets, the system continuously identifies millions of dynamic behavioral patterns, that trigger binding objects together within the Social Sphere.
IT uploads row, encrypted, transactional data (no cleaning, any language).
The Endor engine scans the data, creating a refreshed “social sphere” daily.
“Social sphere” = ~500K groups of objects, grouped together since they are NOW acting similarly.
The engine uses the question to automatically identify past examples of the required behavior. The examples will have strong correlation with few groups in the updated Social Sphere. Other “objects” in the group compose the “look-alike” prediction.
Endor product demo, Finovate 2017
The protocol selects the most relevant behavioral clusters for each prediction, regardless of the analytics engines or data sources involved in creating these clusters. It optimizes the predictions automatically, allowing any prediction to be executed in a fully decentralized, trustless manner
The protocol is a separated automated entity, uncontrolled by data or engines providers
Social Physics technology is proven by Endor to provide accurate predictions to leading companies. Sharing an open protocol enables further democratization at enhanced accuracy due to rich orthogonal data and engines providers
Using blockchain, predictions are stored indefinitely and transparently, saved as evidence to the predictions' time, data, and processing integrity
Data contributed to the protocol is flagged as “public” or “private”. “Public” contribution is compensated with EDRs, and used by the engines to create clusters for predictions. “Private” data is used solely by its owners
Dr. Alan Boehme, CTO, the Coca Cola Company
Social Physics is about behavioral analysis in big data, but it takes it to a completely new level. We were very fortunate to find Endor and work with it
Dr. Alan Boehme, CTO, the Coca Cola Company
Ohad Maimon, EVP Business Development & Strategy, Leumi Card
Endor more than tripled our sales in our main campaign. Also, it enables trial & error by delivering predictions in one day, no data science required. This saves us lots of time and money
Ohad Maimon, EVP Business Development & Strategy, Leumi card
A revolutionary concept and a truly technological breakthrough. The results they presented are unmatched by any competing tool
CIO OF ISRAELI INTELLIGENCE CORPS
The EDR token is the exclusive means of payment for services on Endor.coin Protocol. The token’s utility will be its usage by Endor.coin’s customers to pay for predictions. This in turn is used to fund system infrastructure (AWS) and data acquisition (by rewarding data contributor). The EDR token will be ERC20 compatible, ensuring a high degree of security and integration with the ecosystem.
Price per EDR
Target of investment
Target of investment
Endor.coin long term reserves for development, operations, and ecosystem
Team and Advisors
Token Private Sale \ Crowd-Sale
Funds will primarily be used for R&D and core technology development. Up to 30% will be used for the possibility of purchasing relevant proprietary technologies such as prediction engines and ETL connectors. Additionally, funds will be allocated for ecosystem expansion, business development and marketing, strategic partnerships, and supporting the academia.
Business users ask predictive questions, and get automated accurate predictions based on their data. No data science expertise required
EDR token holders will be able to use a growing catalogue of refreshed accurate predictions,
provided by Endor.coin
EDR token holders will be able to shape the growing predictive catalog using the RFP
Businesses & professionals will be able to use their private data and Endor.coin public data to generate private predictions
For the first time, individual users can get accurate, data driven predictions!
Data soverty, multiple engines, accurate unbiast predictions for everyone
Led by "world’s most powerful data scientists”... Forbes
Already adopted by fortune 500 enterprises and smaller companies
Users ask for predictions -> gain value -> increase token usage -> drive value for token holders
The more users join, the lower the price per prediction becomes.
The more data-providers join, the more accurate the predictions become
Co-Founder & CEO
Co-Founder & COO
Co-Founder & CPO
Deep Learning Research Lead
Endor.Coin protocol will enable the first distributed prediction infrastructure ensuring that the predictions are unbiased and operating on fused public/private data-sets. Endor’s Social Physics will be the first AI engine to run on Endor.coin protocol, allowing anyone to enjoy top notch predictions at a fraction of the price without worrying about the data/AI infrastructure and data scientist that tailor models according to individual needs.
The total supply is 150,000,000 EDR. The supply is caped and no additional EDR tokens are planned to be generated in the future. (All EDR tokens will be used in the prediction circulation)
Legal restrictions prevent the discussion of what may or may not be happening regarding the EDR appearing on exchanges.
Endor's offices and R&D center are located in Tel Aviv. Marketing, business development and sales in the US.
Endor's predictive analytics engine was recognized as a WEF (World economic forum) Technology Pioneer and a Gartner Cool vendor of 2017. The product is being used by top fortune 500 companies.
EDR token will be liquid directly after the crowdsale.
Endor.coin team has a successful track record of delivering high quality products. Our product proposition is the future of predictive analytics for blockchain based products and crypto currency.The EDR token has various use cases within the Endor.coin ecosystem which gives it a significant value for data/algorithm creators and prediction consumers.