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.

While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data.

Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application.

Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight.

AI/ML

Research

Technology

Symbolica AI

The London office likely focuses on strategic leadership and innovation, driving growth and vision for the organization.

London

The San Francisco office focuses on cutting-edge technology development and talent acquisition in the tech industry.

San Francisco

George Morgan

This department focuses on advancing the field of artificial intelligence through innovative research and development.

AI Research

This department focuses on developing and implementing machine learning models and technologies.

Machine Learning

This department focuses on conducting experiments and developing innovative solutions through research and engineering expertise.

Research Division

This department is responsible for designing, building, and maintaining software applications and systems.

Symbolica AI

Org chart

Teams

AI Research

Machine Learning

Research Division

Software Development

Offices

Symbolica AI

Org chart

Teams

AI Research

Machine Learning

Research Division

Software Development

Offices

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