The data and knowledge layer
What differentiates a useful agent from a text generator is access to real context. We build the infrastructure that connects your data with your agents.
The Syllabri ecosystem is the foundation on which agents operate: structured ingestion, persistent relationships, and explicit governance.
Structured ingestion from any source
Connectors for REST APIs, SQL/NoSQL databases, ERP, files, email, and documents. Data enters normalized with validated schemas. Continuous or batch updates depending on the use case.
- Pre-configured connectors (SAP, Salesforce, HubSpot, PostgreSQL)
- Automatic schema normalization and validation
- Auditable ingestion pipeline with change logs
- Batch and incremental support
Relationships and context that persist
Data is not stored in silos. We connect it in a knowledge graph that represents entities, relationships, and hierarchies specific to your domain. The agent understands that a customer has active contracts, a supplier is linked to a risk category, a product has dependencies.
- Domain-specific entity and relationship modeling
- Semantic search over the graph
- Updates propagated without full reindexing
- Exportable to standard formats (RDF, GraphQL)
Explicit control over what each agent knows
Not all information should be available to all agents. We manage entity-level permissions, knowledge versioning, and configurable retention. Each conversation or process context is stored and can be retrieved, audited, or deleted.
- Granular permissions by agent and role
- Knowledge base versioning with rollback
- Configurable retention (TTL by data type)
- Access and modification audit trail