
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.

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.
Founded: 2022
Headquarters: San Francisco (also lists London presence)
Team size: ~20 employees
Core focus: Applying category theory & type theory to symbolic reasoning and agentic systems
Notable product: Agentica — type-safe, composable framework for agent workloads
Funding signal: Series A (Apr 2024) led by Khosla Ventures; total reported raise $33M
Bridging mathematical foundations (category theory, type theory) with practical AI to enable symbolic reasoning and formal semantics in agentic systems.
2022
Software Development
33000000
Series A announced April 2024; participating investors reported to include Abstract, Buckley Ventures, Day One Ventures, and General Catalyst.
“Series A led by Khosla Ventures with participation from Abstract, Buckley Ventures, Day One Ventures, and General Catalyst”
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