Symbolic Computing
Symbolic Computing is a research company focused on the development of foundational technologies for digital trust and large-scale symbolic data systems.
Our work spans theoretical architecture, applied systems design, and patent development. Research is conducted by a core team and in collaboration with engineers, security specialists, and domain experts as needed.
Research Focus
One pillar of our work is the development of Symbolic Matrix Fields — a new computational architecture for structuring data, execution, and system behavior.
Unlike conventional models that rely on centralized logic or application code, Symbolic Matrix Fields define systems in terms of referential structure and symbolic continuity. This enables a unified approach to representation and execution that is both lightweight and durable across time and context.
This research serves as the backbone for a wide range of applied domains and future computing models.
Device-Rooted Authentication
A second pillar of our work applies this research to a concrete and urgent problem: authentication.
Symbolic Computing is developing a suite of patents that define a device-rooted approach to digital trust. Rather than relying on passwords, tokens, certificates, or synchronized secrets, this architecture anchors trust directly in hardware-protected devices and extends it through explicit cryptographic authorization.
The result is a unified authentication model that operates consistently across physical and online domains.
Research and Intellectual Property
Details of our current research outputs and intellectual property are available on the patents page.