Semantic Labs

Semantic Labs develops neuro-symbolic AI systems for organisations that require transparent, auditable and rule-based decision-making. Its technology combines large language models (LLMs) with symbolic reasoning to help organisations apply complex policies, governance frameworks and compliance requirements more consistently.

Semantic Labs uses a teacher–student model that applies LLMs to support the development of specialised deterministic classifiers. These classifiers convert unstructured text into semantic causal graphs that can be used in structured decision-making processes.

Its platform replaces prompt-based workflows with symbolic logic and rule-based reasoning. A visual integrated development environment enables subject matter experts to review and refine logic through direct interaction with source content while maintaining human oversight of decisions.

Semantic Labs supports policy engineering, governance and compliance use cases. Its approach helps organisations identify policy inconsistencies, improve policy design and maintain an auditable record linking source documents to decision outcomes.