Kyndi is an artificial intelligence company that’s building the first Explainable AI product and Intelligent Process Automation software for government, pharmaceutical, and financial services organizations. Our product exists because critical organizations cannot use “black box” machine learning when they are required to explain the reason for any decision. With its mission to optimize human cognitive performance, Kyndi is transforming business processes by offering auditable AI systems. Kyndi’s products and solutions also help to mitigate the human bias that can arise in the process of extracting knowledge and answers from data.
Founder and CEO
Ryan’s vision is at the core of Kyndi. His experience analyzing impacts of the 2008 economic crisis helped Ryan realize that humans can no longer keep up with the volume of reading needed in the modern age. Foreseeing a time when every worker must be partnered with an AI assistant, he decided to make his vision possible.
Ryan has a B.S. degree from the Catholic University of America, a Master of Science in Applied Mathematics and Economics from Rutgers University, and an M.B.A. from the Mendoza College of Business at the University of Notre Dame.
Amy is passionate about helping customers and partners transform their organizations. Prior to joining Kyndi as Chief Operating Officer, she spent eight years at Marketo, which she joined in early 2009 as the Vice President of Business Development (employee #25). During her career there, Marketo grew from less than $1M in revenue to over $250M, went public in 2013, and was acquired by Vista Private Equity for $1.8B in 2016. She ran the customer sales organization and started Marketo KK (Japan.) Over the past 25+ years, Amy has been an accomplished business leader who uses sales, marketing, and management methods developed at IBM to quickly drive results at startup and mid-size companies.
Amy has a B.A. in Government and International Relations from the University of Notre Dame. She has been recognized as one of the Top 100 Women of Influence in the Silicon Valley and as CRN’s Top Women in the Channel.
Chief Product Officer
Chris is an enthusiastic leader who uses his expertise in technology product conception, development and management to build and direct successful teams and business solutions. A startup veteran, Chris has solved business problems in a wide variety of domains, including ERP, CRM, supply chain, tax, and energy and emissions management. In his former positions at Wynyard, C3 Energy Network, Siebel Systems, and several other companies, Chris developed applications and programs scaled to tens of thousands of users, across cloud, mobile, and on-prem deployment models.
Chris graduated from California State University – East Bay with a Bachelor of Science degree in Business and Engineering.
Benjamin Grosof is an industry leader in knowledge representation, reasoning, and acquisition. Before joining Kyndi, Grosof was a Research Fellow and Principal Director of Artificial Intelligence at Accenture, where he launched an initiative to leverage AI for business process automation across the company’s $8B+ Operations group. Before that, he was founding CTO of the AI reasoning startup Coherent Knowledge, led a research program in advanced AI and rule-based semantic technologies for Paul Allen at Vulcan Inc.’s Project Halo, was an IT professor at MIT Sloan, and was a senior software scientist at IBM Research.
Grosof holds a Bachelor’s degree in Applied Mathematics from Harvard University and a PhD in Computer Science (Artificial Intelligence) from Stanford University.
John is a fellow at the Association for the Advancement of Artificial Intelligence, a distinction given to individuals who have made significant and sustained contributions to the field of AI. John is the inventor of conceptual graphs, which he described in a groundbreaking 1976 paper called “Conceptual Graphs for a Data Base Interface.” In 1962 he started working at IBM’s applied mathematics group, where with other scientists he laid the foundations for artificial intelligence and knowledge representation. At Kyndi, John focuses on developing novel methods for using logic and ontology in systems for reasoning and language understanding.
John has a B.S. in mathematics from MIT, an M.A. in applied mathematics from Harvard, and a PhD in computer science from the Vrije Universiteit Brussels.
“I believe there is only one company that has any technology that could support genuinely Explainable AI™ – and that is Kyndi.”
VP – Head of Kyndi Federal
Amandeep Dhillon is Vice President – Kyndi Federal, which provides Explainable artificial intelligence solutions to US Government agencies. With more than two decades of experience working with technology and B2B solutions companies, Amandeep is a veteran technology and sales executive in the Federal Government sector with a particular focus on defense and intelligence services. Prior to joining Kyndi in 2017, Amandeep was Vice President of Federal Government Solutions at Code42, a security solutions company. Prior to that, he worked with such companies as BlueCat Networks, Level(3) Communications, Science Applications International Corporation (SAIC/Leidos), Ericsson Datacom, Inc., Sprint Nextel, Lockheed Martin, Hughes Network Systems, and Computer Sciences Corp (CSC/CSRA).
Amandeep holds a Bachelor’s of Science Degree in Electrical and Computer Engineering from George Mason University, and a Master’s Degree in Technical Management from The Johns Hopkins University.
Chief Technology Officer
Dan is a prolific and passionate computer technologist who has enjoyed creating technologies and companies since 1981. He has been the co-founder and hands on leader at no fewer than 5 different successful startups.
Dan excels at creating novel algorithms, technologies, platforms and products to satisfy clients and fulfill market needs. Spanning platforms from low level 6502 assembly to Java-based Spark clusters, or technologies ranging from animated spreadsheets to hardcore AI, he has a knack for building talented and motivated teams that produce award-winning products.
Dan earned a Bachelor of Science in Business Administration from Haas School of Business, University of California, Berkeley.
Co-Founder and Kyndi Fellow
Arun was a protégé of AI pioneer John Sowa and spent time at Stanford with John McCarthy’s Formal Reasoning Group. In 2001, with John Sowa, he founded VivoMind Research, a company focused on real-world applications of AI technologies, including human-like analogical reasoning. He holds a number of granted and provisional patents on behalf of Kyndi.
Arun holds a B.Sc. in Biochemistry from McGill University in Montreal.
Dr. Peter Wittek obtained his PhD from the National University of Singapore. His research explores the synergies between artificial intelligence, machine learning, quantum information, and high-performance computing. He published the book “Quantum Machine Learning: What Quantum Computing Means to Data Mining,” which is the first monograph on the subject. He has been deeply involved in entrepreneurship and is working on incubating startups that use quantum technologies for machine learning.
“When you are tired of deep learning, take a look at Kyndi’s AI stack: a relativistic quantum emulator that fuels learning from sparse data. It’s one of a kind.”
Dr. Michael Harries is a venture partner with The Robotics Hub, an early stage AI and Robotics fund. Michael spent fifteen years at Citrix, creating and understanding the future of work, first as a leader for Citrix Labs and then as the Chief Technologist of Citrix Startup Accelerator, where he brought his know-how to enterprise startups. Michael understands enterprise challenges and opportunities.
Michael holds a Ph.D. in AI and Machine Learning from the University of New South Wales, and a B.Ec. from University of Sydney.
Barney Pell is an entrepreneur, angel investor, and technology and product strategist. He is Co-Founder and Chairman of LocoMobi and Co-Founder of Moon Express. He has been active in startup companies in operational and advisory roles for over 20 years, and enjoys bringing advanced technology and big ideas into real applications and markets that change people’s lives.
Barney received his Ph.D. in Computer Science from Cambridge University, where he was a Marshall Scholar, and his B.S. degree in Symbolic Systems from Stanford University.