semantica: a graph-native infrastructure layer for accountable AI agents with deterministic reasoning and full decision provenance

What it solves

Semantica provides a deterministic infrastructure layer for AI agents to ensure their decisions are explainable, traceable, and auditable. It addresses the "black box" problem of LLMs and the limitations of vector-only RAG by replacing flat embeddings with structured context graphs and formal reasoning, which is critical for high-stakes, regulated industries like finance, healthcare, and government.

How it works

Semantica sits beneath the LLM and vector store as a graph-native layer that manages knowledge and decision provenance. It ingests data from various sources (including Databricks and Snowflake), extracts entities and relationships to build a Knowledge Graph (KG), and applies deterministic reasoning (via Rete, Datalog, and SPARQL) to derive new facts. Every AI decision is recorded as a first-class graph node, linked causally to its evidence and outcomes using W3C PROV-O standards for full auditability.

Who it’s for

  • AI/ML platform teams building agents that make consequential decisions.
  • Data platform teams using Databricks or Snowflake who need to convert tables into governed knowledge graphs.
  • Compliance and risk teams requiring structured, regulator-accepted audit trails for AI behavior.
  • Regulated enterprises in finance, healthcare, legal, and defense that cannot use black-box systems.
  • Knowledge engineers building KGs from fragmented, multi-source enterprise data.

Highlights

  • Decision Intelligence: Records decisions as queryable objects with causal ancestry and impact maps.
  • Context Graphs: Uses graph traversal instead of simple embedding similarity to find complex connections.
  • Deterministic Reasoning: Employs forward chaining and Rete networks for explainable logic without requiring an LLM.
  • Polyglot Storage: Supports both RDF triple stores (e.g., Blazegraph, Apache Jena) and Labeled Property Graphs (e.g., Neo4j, AWS Neptune).
  • Enterprise Integration: Native connectors for Databricks Unity Catalog and Snowflake warehouses.
  • Full Provenance: Implements W3C PROV-O and SHACL constraints for governance and compliance exports.

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