Structured + Unstructured Knowledge
Our knowledge layer connects structured operating records with the unstructured communications and documents that explain them.
Both forms exist
Structured knowledge includes database rows, CRM fields, financial records, payroll, transaction data, status fields, and other schema-controlled information.
Unstructured knowledge includes email, calls, transcripts, contracts, messages, notes, documents, and free-form operating communication.
Neither is sufficient by itself.
The join is often the answer
A structured system may show that an invoice is outstanding at 73 days. The unstructured record may show that the customer disputed the invoice because a promised deliverable was not completed. A CRM may show a customer as active while recent calls and messages reveal escalating dissatisfaction.
The technical problem is therefore not simply retrieving both sources. The system must connect them to the same entities, time period, and business event while preserving source authority.
- Structured state + unstructured evidence
- Entity + time + provenance
- Task context
Different access paths
Structured records are often best accessed through exact queries, joins, filters, calculations, and state lookups. Unstructured records may require lexical retrieval, semantic retrieval, segmentation, embeddings, reranking, or model interpretation.
We do not flatten all company knowledge into one vector index simply to create a common interface. Different representations retain the access method appropriate to them and are assembled when the workload requires both.
Evidence discipline
Conflicts remain visible. An email does not automatically override the billing system, and a CRM field does not automatically invalidate a signed contract. Authority depends on the fact being established.
Our context-construction layer can therefore combine structured facts and unstructured evidence while preserving where each came from.
The objective is a system that can answer not only what happened, but what the company records say, what the people involved said, and how those pieces fit together.
Cross-source reasoning
The bridge between structured and unstructured information is especially important when the structured record describes an outcome but not its cause.
A payment table can show a decline in collections. Customer communications may contain the disputes that preceded it. Staffing data can show an employee departure. Internal messages may explain which responsibilities were left uncovered.
Our architecture can assemble those forms of evidence without converting every source into the same representation. Structured facts remain queryable as structured facts; unstructured evidence remains retrievable with its original provenance. The integration occurs at the context and reasoning layer, where entity identity, chronology, relationships, and source authority can determine which pieces belong in the same investigation.