GenesisAI - AI services marketplace

A Network of Machine Learning Models

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No connectivity

Today, there is no way for AIs to exchange data, learn from each other, leverage their capabilities, and trade services. AIs are operating in a closed environment.

Costly to use

There are only around 10,000 AI developers in the world. 99% of companies cannot afford to hire their own team of AI engineers to create in-house AIs, nor do they have enough technical capabilities to correctly determine from which open-source APIs to grab existing AI code.

No quality measurement

There is no way to judge the quality of AIs because there is no reputation system. Companies operating on a lean budget face high-risk decisions when choosing which AIs to use.


Introducing GenesisAI

GenesisAI is a Machine Learning protocol. On top of this protocol, we are building a marketplace for AI products and services - Amazon for AI. The marketplace connects companies in need of AI services, data, and models with companies interested to monetize their AI tech.

By linking AI services with each other and increasing the supply of AI services, GenesisAI provides a web platform that offers low-cost AI services. This makes AI technology more efficient and affordable for businesses.

Our platform enable different AIs to communicate with each other, exchange data, and trade services. Anyone can develop and purchase AI services.

Our Marketplace

The GenesisAI marketplace will have a built-in reputation system and a matching system. Services ratings will come from two sources: a review system and expert analyses from GenesisAI's tech team. Members of the marketplace will be able to rate a service. Then, an algorithm will optimize this score based on the following elements:
Reviewer reputation: nodes with a demonstrated track record in the service they are reviewing will weigh more than nodes with less experience.
Number of reviews: as more popular services receive more reviews, the algorithm will boost their optimized score.
Timing: older reviews will weigh less than newer ones.
Incentives: potential conflicts of interest will be recognized and avoided.


Archil Cheishvili


Economics, Harvard University. Former CEO of AI startup Palatine Analytics. Bridgewater Associates. Recognized by media outlets such as the New York Post and Yahoo Finance.

Mena Gadalla


PhD in Applied Physics, MS in Computational Science and Engineering both from Harvard John A. Paulson School of Engineering and Applied Sciences. Published multiple scientific papers and raised over $1 million in research grants.


Professor Thomas Magnanti

Former Dean of Engineering, MIT
Institute Professor, MIT

Former Dean of Engineering at MIT. Institute Professor. Founding Director of the Singapore-MIT Alliance for Research and Technology (SMART).

Neil Flanzraich

Lead Independent Director, Chipotle
Former President of Ivax Corporation

Lead Independent Director of Chipotle. Former President of Ivax Corporation (acq. by Teva for $10B). Executive Committee member of Syntex Corporation (sold to Roche Holdings for $5.3 B).

Travis May

CEO, Datavant
Founder & CEO, LiveRamp

Former CEO of LiveRamp (acq. by Acxiom for $310 mil). CEO of Datavant. Forbes 30 Under 30.

Ed Simnett

Operating Partner, Battery Road Digital
Former Head of Product Strategy, Microsoft

MBA from Harvard Business School, previously Director of strategy and business development at Nokia, Former Head of Product Strategy, Microsoft.

Professor Stratos Idreos

Associate Professor, Harvard
Leads Data Systems Laboratory, Harvard SEAS

Associate Professor in Computer Science at Harvard University. Leads the Data Systems Laboratory at Harvard School of Engineering and Applied Sciences.

Professor Elie Ofek

Professor, HBS
PhD in Business Administration, Stanford

Professor of Business Administration in the Marketing unit at Harvard Business School. Development engineer at IBM Research.

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GenesisAI 2021. All rights reserved.