Symbolica
A research-focused, venture-backed startup based in the Bay Area and London, building a new foundation for large-scale AI that is controllable, interpretable, reliable, and secure.
Company Overview
Symbolica is a research-focused, venture-backed startup with offices in the Bay Area and London. The company's primary goal is to build the new foundation for large-scale AI technologies that are controllable, interpretable, reliable, and secure. They are redesigning machine learning processes to address limitations present in current large language models.
AI and Machine Learning Services
Symbolica focuses on building structured cognition models and multi-scale generative processes based on the expertise of human professionals. Their AI models are designed for complex formal language tasks such as automated theorem proving and code synthesis. The unique inference model allows for continuous interaction with validators, interpreters, and debuggers, ensuring reliability and accuracy in their outputs.
Technological Innovations
Symbolica's technology includes explicit episodic memory, which enhances scaling curves and inference reliability. This memory model is critical for reducing hallucinations and maintaining data privacy. The models provide continuous control and guidance, making them highly reliable for various applications. By re-engineering how machines learn, Symbolica addresses key limitations in existing large language models.
Applications of Symbolica's AI Models
Symbolica's AI models are designed to tackle complex formal language tasks, including automated theorem proving and code synthesis. Their unique approach allows for continuous interaction with validators, interpreters, and debuggers, ensuring that outputs are reliable and consistent. These features make their models suitable for high-stakes environments where accuracy and reliability are crucial.