Semantica
Developer-first, graph-native infrastructure that turns fragmented enterprise data into a queryable context graph and knowledge graph, with deterministic reasoning and end-to-end decision provenance.
Semantica is graph-native infrastructure for giving AI systems structured context instead of similarity scores alone. It ingests enterprise data, extracts what matters, and builds a context graph and knowledge graph over it, then runs graph analytics and causal reasoning across that structure with full decision provenance and audit trails, so a regulated organization can trace why a result was produced.
Graph construction, reasoning and provenance are deterministic and do not require a large language model; where a model is used, it is optional and can be swapped between providers such as OpenAI, Anthropic and Gemini through a dedicated module. Ontologies and controlled vocabularies, using standards such as OWL, SHACL and SKOS, make what an entity means to the business, along with its relationships and rules, as explicit as the raw data itself, and the underlying storage supports both RDF and labeled-property graph formats.
It is installed with pip and positioned as an open, self-hosted alternative to proprietary enterprise knowledge platforms, for high-stakes and regulated domains.