Jonathan Schaeffer

Inventor of Kind · AI Pioneer · Entrepreneur

JONATHAN SCHAEFFER

Inventor of Kind · AI Pioneer · Entrepreneur

40+ years at the forefront of AI, building practical and trustworthy systems

ABOUT JONATHAN

Jonathan Schaeffer is the inventor of Kind and has been at the forefront of artificial intelligence for more than 40 years. Alongside his work as an AI researcher, he has been an entrepreneur and inventor focused on building practical, trustworthy AI systems that solve real problems.

Jonathan's career includes leading or contributing to AI systems that mastered checkers and competed against world-class poker players—both achievements recognized by the Guinness Book of World Records. He co-founded his first AI software company, BioTools, in 1995, was a co-founder of the Alberta Machine Intelligence Institute (Amii), and a founding partner at Onlea, now a global leader in online learning.

Kind was first conceived in 2017 and took shape while Jonathan was teaching full-time and responding to hundreds of student emails. He created an AI system that interacted only with documents he explicitly provided, ensuring accuracy, explainability, and trust. After years of personal use and refinement, Kind evolved into a downloadable desktop application that allows users to curate their own data, interact with it in depth, and gain insights—without sacrificing privacy.

Kind reflects Jonathan's belief that users should own their knowledge and ideas. You curate your data; Kind curates the AI.

Education

M.Math (1980), Ph.D. (1986) Computer Science

1979 - 1986

B.Sc., Computer Science

1975 - 1978

Notable Achievements

  • Guinness World Records AI mastering checkers & poker
  • Guinness World Records

    AI mastering checkers & poker

  • Co-Founded BioTools (1995) Leading-edge bioinformatics software company
  • Co-Founded BioTools (1995)

    Leading-edge bioinformatics software company

  • Co-founder of Amii Alberta Machine Intelligence Institute
  • Co-founder of Amii

    Alberta Machine Intelligence Institute

  • Privacy-First AI Building Kind since 2017
  • Privacy-First AI

    Building Kind since 2017

    A privacy-first AI desktop application for your own curated knowledge

    Kind (Knowledge IN Depth) is a privacy-first AI desktop application that enables users to search, analyze, and gain insights from their own curated data—not the internet. Unlike generic chatbots or cloud-based AI tools, Kind operates primarily on the user's own computer, with clear boundaries, transparency, and explainability around how AI is used.

    Kind supports documents, images, audio, video, and multiple languages, allowing users to connect ideas, discover themes, and retrieve information that traditional search engines or cloud LLMs cannot. It addresses growing concerns around AI hallucinations, data privacy, and misuse.

    Privacy-First Design

    Operates primarily on your own computer with clear boundaries and transparency.

    Explainable AI

    Answers are generated solely from your data—when information is absent, Kind says "I don't know."

    Your Data Stays Yours

    Personal knowledge never becomes training data for large corporate models.

    Core Differentiators

    Particularly Valuable For

    Synsira's private desktop AI, Kind, is available direct to consumers and is particularly valuable to key audiences in three areas:

    Lawyers, professors, and comms professionals using Kind to reduce preparation time across drafts, courses, and client knowledge.

    Influencers, writers, and artists protecting their personal brand while generating new work.

    Serial investors, family historians, and PhD students organizing and searching decades of personal archives and research.

    Desktop Application

    Subscription-based model

    Drag-and-drop interface for easy data curation

    SPEAKING TOPICS

    Conversations Jonathan brings to every podcast

    Why Private, Local-First AI Matters More Than Ever

    The growing importance of data sovereignty and privacy in an AI-driven world.

    The Hidden Risks of Cloud-Based AI and Chatbots

    Understanding what happens to your data and why trust matters.

    Building AI You Can Actually Trust

    The principles behind explainable, transparent, and reliable AI systems.

    Why "Better Chatbots" Miss the Real Problem

    Moving beyond conversational AI to genuine knowledge management.

    The Future of Personal Knowledge Management

    How AI can help us organize, connect, and leverage our own information.

    How AI Can Enhance Thinking Without Replacing It

    Using AI as a tool for augmentation, not automation.

    Designing Ethical, Explainable AI for Everyday Users

    Making advanced AI accessible and accountable to everyone.

    SUGGESTED QUESTIONS

    Ready-to-use questions for your interview

    JONATHAN IN ACTION

    Watch Jonathan discuss AI, innovation, and the future of technology

    Your AI Is Quietly Stealing Your Life's Work

    Building Trustworthy AI Systems

    The Future of Personal AI

    Kind: A Privacy-First Desktop AI

    MOOCs: Reimagining Post-secondary Undergraduate Education | TEDxUAlberta

    The Games Computers (and Humans) Play

    Artificial Intelligence and Games | Tech and Future of Medicine

    On Online Learning – What Will You Teach the World?

    PODCAST APPEARANCES

    BOOKING & MEDIA

    Interested in having Jonathan on your podcast? Let's connect.

    or contact directly: kylie.adams@moburst.com

    © 2026 Kind by Synsira. All rights reserved.

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