Unlimited Opportunities in the Knowledge Economy
The Knowledge Industrial Revolution creates unprecedented investment and business opportunities. From Dynamic Knowledge Banks to knowledge consulting services, the emerging knowledge economy offers limitless potential for entrepreneurs and investors.
Small and medium enterprises and investors have wide opportunities to Launch knwolege indury startup even in there on homes and to work and earn substatainal income generation oppertunities using there on time and convenamace
Build and operate dynamic Knowledge Banks for specific industries or domains. Large corporations and investors have wide opportunities to make significant investments in developing the infrastructure, technologies, and manpower required for AI- and Natural-Intelligence–controlled dynamic Knowledge Banks, supported by strict quality control, standardization, and authenticity.
Provide Knowledge Industry consulting to organizations transitioning to knowledge-driven operations.
Create knowledge-driven educational platforms and content delivery systems.
Establish funds focused on knowledge economy startups and ventures.
Build technology infrastructure for knowledge production and distribution systems.
AND INVESTMENT CHALLENGE 2026
For Small and Big Investors
(Under the aegis of the World Summit on Knowledge Industrial Revolution 2026)
Organised by Dr. Raju M. Mathew, Founder – Knowledge Industrial Revolution & MKIC Private Limited
🔗 Website: www.mkic.com
Artificial Intelligence and Information Technology are built on linear, static, and limited data structures. However, the structure of Natural Intelligence—the base of human creativity, intuition, and real knowledge—is non-linear, dynamic, multidimensional, and exponential. These differences make AI and IT incapable of processing true Knowledge and Natural Intelligence.
In 1985, Dr. Raju M. Mathew introduced the theory of Knowledge Consumption and Production Growth through the USSR Academy of Sciences, revealing that Knowledge can be produced, delivered, and consumed as a product. In 2005, he founded Knowledge Industry —The Mathematics, Cybernetics, and Engineering of Knowledge—which forms the scientific foundation for the Knowledge Industry, Knowledge Industrial Revolution, and Natural Intelligence Processing Technology.
Dr. Mathew also introduced the Decentralized Centralization Model consisting of thousands of Knowledge Production Units (KPUs) operating globally in homes, schools, universities, IT parks, and professional hubs. These KPUs produce Knowledge Products which are collected, standardized, and transformed into Value-Added Knowledge Modules through Dynamic Knowledge Banks.
Thousands of KPUs across the world generate insights, solutions, skills, and innovations as Knowledge Products.
All Knowledge Products are collected through a decentralized–centralized global network for processing.
Joint verification by Human Experts, AI Systems, and NI Processing Algorithms ensures authenticity and reliability.
Knowledge is refined, standardized, and stored in Dynamic Knowledge Banks, continuously updated and optimized.
Refined knowledge is transformed into Knowledge Modules, Solutions, and Packages by Knowledge Engineers and Experts.
Knowledge Solutions are delivered to governments, industries, education, healthcare, agriculture, and public sectors.
Participants must design or develop a model based on Knowledge Industry principles.
Create a working prototype where Knowledge is both raw material and finished product.
Develop scalable systems using KPUs under the Decentralized-Centralization Framework.
Corporations, Institutions, Governments, and Global Agencies are invited to invest in building advanced Knowledge Processing Technologies, Dynamic Knowledge Banks, Expert Networks, Royalty Systems, and Global Knowledge Infrastructure. This will power future growth in education, industry, governance, agriculture, healthcare, biotechnology, manufacturing, and public policy.