Welcome to Kyndi

Like the Industrial Revolution, the Knowledge Revolution will reshape the world.And Kyndi will lead the way.

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During the Industrial Revolution, automation and a more efficient workforce raised production to levels never before seen. Similarly, artificial intelligence will make humans more productive, creative, and efficient.

Kyndi aims to be at the forefront of the Knowledge Revolution. Incorporating advanced artificial intelligence and breakthroughs in symbolic natural language understanding, our technology helps knowledge workers process vast amounts of information to pinpoint information they really seek to make critical decisions.

Kyndi Founder and Chief Scientist Arun Majumdar Presents at Confluence…

Palo Alto, Calif., May 16, 2017 –  Kyndi, the pioneering artificial intelligence (AI) company, today revealed that…

DARPA and The Third Wave of AI

In February, U.S. Defense Advanced Research Projects Agency (DARPA) released the video “A DARPA Perspective…

Artificial Intelligence Innovator Kyndi Appoints Sales and Marketing Leader Amy…

Former Marketo executive brings a track record of success scaling high growth companies April 25,…

AI: Adapting to New Worlds by Generating Ontologies

Six years ago, my family and I moved to America. When we got here, we…

Skipping stones: Language and the mystery of meaning

Kyndi works in the domain of modeling and understanding natural language. To explain why this…
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Kyndi Resources

Kyndi Patent # US 2016/0328253 A1: Quanton

 Kyndi’s Quanton patent has found a way to emulate the results of a permutational quantum computer for a large class of problems relevant to the Kyndi solution, specifically to the creation of ontologies and to making inferences from a large volume of data.
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Deloitte Tech Trends 2017

 Highlighting trends across a number of evolving technologies, this report includes an interview with Arun Majumdar on the potential of artificial intelligence. See section titled “Exponentials Watch List.”
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Paul A.M. Dirac's speech

 Paul A.M. Dirac's speech at the Nobel Banquet in Stockholm, December 10, 1933; highlighted by the quote "The methods of theoretical physics should be applicable to all those branches of thought in which the essential features are expressible with numbers."
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Quantum Machine Learning

 Quantum machine learning is an emerging interdisciplinary research area between quantum physics and data mining that summarizes efforts to combine methods from quantum information science and machine learning.
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