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Bruno Levy

Bruno Levy

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Chief Executive Officer @ Entrepreneur, founder of EagleMind, The AI That Thinks With You
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Education

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École Polytechnique

Engineer, 1984-09-01 - 1987-06-01
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Carnegie Mellon University

Master, Electrical Engineering 1990-09-01 - 1992-06-01
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Carnegie Mellon University - Tepper School of Business

MBA, Entrepreneurship 1989-01-01 - 1991-01-01
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Tokyo University

scholar, Robotics 1987-09-01 - 1988-03-01

Work Experience

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EagleMind

Current

EagleMind

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Current

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hyperGROWTH -GROW YOUR MARKET PRESENCE

2015-01-01 - 2024-01-01

hyperGROWTH -GROW YOUR MARKET PRESENCE

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Founder Institute

2012-01-01 - 2014-12-01

Founder Institute

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Value Logic SAS

2003-07-01 - 2014-01-01

Value Logic SAS

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Smart-Trade

1999-11-01 - 2001-01-01

Smart-Trade

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hyperGROWTH Ltd

1994-01-01 - 1999-01-01

hyperGROWTH Ltd

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ILOG

1992-01-01 - 1994-01-01

ILOG

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Sobesol

1988-01-01 - 1989-07-01

Sobesol

Skills

Entrepreneurial leadership Market Growth Strategies • Time to Market Fit Startup Strategic Advice Causal Marketing Start-ups Strategy Marketing Entrepreneurship Marketing Strategy Venture Capital Product Development Product Management Start-up Content Marketing Scalability B2B Marketing Product Marketing Brand creation Innovation Management

Summary

I'm co-founder and CEO of EagleMind, "THE AI THAT THINKS, with you". I'm deeply passionate about developing AI systems that can think naturally and causally, continuously deepening their understanding through each interaction just as humans do. What energizes me is making key design decisions that shape how AI systems evolve and interact: - Architecting AI's reasoning patterns - ensuring systems organically understand and think on customers' queries - Designing AI-based awareness and self-awareness mechanisms to enhance the general intelligence of responses - Creating natural interaction frameworks - developing ways for AI to deeply engage with humans in ways that feel intuitive and incite dialog and exploration - Applying the "obstacle is the way" philosophy where solving concrete problems with AI leads to unexpected theoretical breakthroughs in AI design as well as remarkable improvements in how AI systems think and interact.

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