Alex Dalyac
New York, New York,United States
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Alex Dalyac is the co-founder and CEO of Tractable, a leading artificial intelligence company specializing in visual assessment for accident and disaster recovery. With a background in econometrics from the London School of Economics and computer science from Imperial College London, Alex has successfully bridged the gap between advanced academic research and practical, real-world applications. He leads Tractable's mission to use AI to help people globally recover faster from accidents by automating damage appraisal. Under his leadership, Tractable has grown into a global unicorn, processing millions of claims and partnering with the world's top insurance carriers.
Professional Summary
Alex Dalyac's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Co-founded and Scaled Tractable to a Unicorn
Co-founded Tractable in 2014 and, as CEO, led the company to a valuation of $1 billion in June 2021, achieving unicorn status and establishing it as a global leader in AI for the insurance and automotive industries.
Forbes 30 Under 30 - Europe (Industry) 2018
Recognized in the prestigious Forbes 30 Under 30 list for Europe in the Industry category for his pioneering work in applying AI to revolutionize the insurance claims process.
Secured Major Strategic Partnerships and Funding
Successfully secured significant funding, including a $60M Series D round, and forged strategic partnerships with dozens of major global insurance companies, including GEICO, Tokio Marine, and Ageas UK.
Educational Background
Postgraduate Degree, Computer Science
Imperial College London
Bachelor's Degree, Econometrics and Mathematical Economics
London School of Economics and Political Science
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Company Overview
StealthA stealth mode startup is a company that operates in a confidential or secret manner to avoid public attention and alerting potential competitors to its existence or plans. Information regarding its operations, products, funding, and employee count is intentionally kept private. As such, specific data points for a company in stealth mode are not publicly available.
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