The Internet of <br> AI is Here

The Internet of
AI is Here

Experience the future of the internet in which AI algorithms are able to connect, combine, and evolve in an open environment, padding the path toward artificial general intelligence. Openfabric is the world's first platform that provides straightforward access to AI solutions through the elimination of cumbersome technical hurdles. With Openfabric technology, a user can access AI solutions with the simple click of a button.


Core Elements

Openfabric is an ecosystem that harnesses the power of blockchain, distributed ontologies, advanced cryptography, and a trusted execution environment by developing a novel infrastructure that is uniquely capable of supporting the authentic AI revolution.

iconWhitepaper19 pages / 30 mins read
iconBusiness paper12 pages / 5 mins read

Commoditize Access to AI

Openfabric lowers the adoption barrier by reducing the infrastructure demands and technical know-how required to utilise AI algorithms. This aspect empowers the end-users to operate with a new generation of intelligence-driven products and tools accessible through the built-in peer-to-peer marketplace.

Community As Innovation Engine

Securing intellectual property and stimulating fair competition amongst innovators are the key factors that work to coagulate large, vibrant, and collaborative communities. This aspect embodies the real catalyst which drives the evolution of intelligent algorithm solutions.

Endless Scalability

Motivated by the goal of decentralization, Openfabric brings together the concepts of scalability and AI algorithm execution. Any infrastructure provider that adheres to the requirements of the ecosystem will take part in this endeavor.


The Challenge

Today, we live in a digital era - however, prevailing AI ecosystems are exhibiting severe limitations, particularly those concerning fragmentation, isolation, and the lack of an environment for stimulating evolution and mass-adoption. To solve this problem, Openfabric challenges the most difficult problems faced by AI platforms:



Ensure that there is no central entity that controls the location of data or information processing.



Protect end-user privacy and guarantee intellectual property rights.



Implement the use of standardized interfaces, to allow multiple AI agents to cooperate and connect in order to provide relevant answers to complex problems.



Simplify the interactions between end-users and AIs by providing straightforward, non-technical flows.


Smart Economy

Create a built-in robust exchange medium that facilitates fair transactions between supply-and-demand of AI services.



Expand network capabilities by allowing network participants to rent their computing power for the execution and training of AIs.


The Solution & How it Works

Openfabric is a decentralized AI platform in which the collaboration between AI innovators, data providers, businesses, and infrastructure providers will facilitate the creation and use of new intelligent algorithms and services.


Service Consumer


Service Consumer

The service consumer represents the end-user who needs to solve particular business problems and enrich their products or services with an extra layer of intelligence. The platform serves to simplify their experience by eliminating the prerequisites of having technical skill or owning hardware equipment that is normally required to run and train AI.


AI Innovator


AI Innovator

AI innovators utilize their expertise to create elaborate, practical AI algorithms that are capable of solving complex business problems. The platform incentivizes the innovator to focus on delivering high-quality solutions and to engage in cooperation instead of competition, by reusing algorithms deployed by others in order to build ever-more intricate and general AI solutions.


Infrastructure Provider


Infrastructure Provider

Infrastructure providers bring with them all the platform hardware capabilities needed to run and train AIs. Solving challenging and complex problems requires a considerable amount of computing power, which can only be achieved through the joint participation of multiple providers.


Data Provider


Data Provider

Data providers ensure the vast amount of data required for training and testing AI algorithms. Companies that possess consistent datasets can make a profit by licensing them on the platform, to be used by the innovators and data providers.




Openfabric Roadmap

Q1 - 2019

Initial Concept

The idea of Openfabric is born.

Understanding the needs, constraints, and next steps toward progressing AI ecosystems.

Q2 / Q3 - 2019

Economic Foundation

Business research for determining platform stakeholders.

The foundation of the economic system and incentive mechanics.

Q4 - 2019 / Q2 - 2020

Fundamental Research

Scientific validation of the core components.

Publishing research papers on peer-reviewed computer science journals.

Q3 - 2020

Technical Foundation

Fundamental macro components required for building the Openfabric ecosystem.

Q4 - 2020

Technical Whitepaper

Openfabric technical whitepaper

New Openfabric website

Q1 - 2021

Platform Prototype

Practical validation of the Openfabric model

Technical assessment of various blockchain and execution environment models

Experimenting and quantitative/qualitative evaluation of the proposed architecture

Q2 - 2021

Advanced MVP

Publishing research papers on peer-reviewed computer science journals.

Implementing an advanced MVP version incorporating the following features:

  • AI Marketplace

  • Decentralized AI execution engine

  • Core payment system and mobile Wallet

  • Openfabric Python SDK

  • Openfabric development toolkit

  • Blockchain integration and data replication

Q3 - 2021

Test Net

Expect more

Q4 - 2021

Industrial Partnership Agreement

Expect more

Q1 - 2022

Public Release

Expect more

Q2 - 2022

Enterprise Integration

Expect more