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Symbolica

Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge AI, creating symbolic reasoning models that think like humans – precise, logical, and interpretable.

San Francisco14 people
Latest round$31.0M · Series AApr 9, 2024
Listed Apr 2024AI

Team14

NameLocationLinksContact
Drake Rehfeld
COO
Dallas, Texas, United States
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George Morgan
Co-Founder
United States
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Nicholas Kouris
Head of ML Engineering
United States
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Taliesin Beynon
Research Director
London, England, United Kingdom
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Elif Olgac
Brand Design Lead
London, England, United Kingdom
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Céline Hocquette
Machine Learning Research Engineer
London, England, United Kingdom
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Christoph Dorn
Machine Learning Researcher
Oxford, England, United Kingdom
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Greg Rosenbaum
Software Developer
Tel Aviv-Yafo, Tel Aviv District, Israel
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Ouadie El Farouki
GPU Software Engineer
London, England, United Kingdom
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Satyaki Upadhyay
Engineer
—
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Terence Le Huu Phuong
Research Engineer
United States
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Victoria Klein
Machine Learning Scientist
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Yuxiang Dai
Research Engineer
San Francisco, California, United States
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Adam L.
Founding DevOps Engineer
San Jose, California, United States
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