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Semantica
Semantica is a governed context and semantic layer that provides business semantics, causal reasoning, and decision provenance for enterprise AI.
Semantica is a graph-native context and semantic layer for enterprise AI systems, vector stores, and agents. It sits between raw enterprise data sources and AI models to turn fragmented records into structured context, business semantics, and provenance. The platform supports inputs like Databricks, Snowflake, SAP, Salesforce, PostgreSQL, MySQL, Oracle, Kafka, Kinesis, REST APIs, and documents. It integrates with AI frameworks and tools such as Claude Code, Cursor, LangChain, CrewAI, Agno, and MCP. Features include ontologies, controlled vocabularies, reasoning engines, and policy gates to ensure auditable and transparent AI operations. It is built for regulated domains like finance, healthcare, energy, and legal where compliance audits are required.
Semantica at a glance
- Best for: Software engineer
- Runs on: Web, API, CLI, self-hosted, open source
- Pricing: Starter Free; Pilot Custom; Managed Cloud (In Development); Forward Deployment (Deployment + annual license)
- Released: June 2025
- Category: AI agent tool
- Website: getsemantica.ai
Key features
- Connect enterprise data sources
- Extract entities and relations
- Build queryable context graphs
- Enforce OWL ontologies and SHACL rules
- Generate W3C PROV-O provenance lineage
- Run causal reasoning and policy gates
- Export full graph data
Use it for
- Underwrite loans with verifiable audits
- Trace AI decisions for regulatory compliance
- Unify fragmented enterprise data sources
- Connect AI agents to governed context graphs
Alternatives to Semantica
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- TrustGraph — Provides ontology-grounded knowledge for auditable and compliant AI workloads.
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- Caura — Governed memory providing persistent knowledge sharing for AI agent fleets.
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- Beeuni — Agents retain context and improve skills over time through a controlled review process.
- FrontierAgent — Generates verified briefs with step-level reasoning and citations.
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