dbsof logodbsof

/logic

Auto-generated logic layer

Logic lives in the data layer. Schema becomes ontology becomes runtime. The backend-database separation becomes redundant.

Ontology

Schema introspection identifies patterns and builds ontology from migrated data. The system understands relationships without being told.

Schema

Ontology

Logic

Runtime

Ontologies are built from the data itself instead of being manually designed. Category theory provides the formal foundation.

Generation

The system automatically creates data flows as directed acyclic graphs. Business logic emerges from the ontology rather than being hand-coded.

  • DAG/CFG generation from discovered relationships
  • Validation rules derived from schema constraints
  • Transformation logic inferred from data patterns
  • API contracts generated from the canonical model

The marginal cost of software creation trends to zero when logic is derived rather than written.

Runtime

Generated logic deploys to a unified runtime. The infrastructure makes simple runtimes possible because complexity lives in the data layer.

Execution

  • Deterministic replay from event log
  • Hot-reload without downtime

Deployment

  • Self-hosted or managed
  • Air-gapped deployments supported
  • Your infrastructure, your keys

Governance

Generated logic inherits governance from the data layer. Permissions, lineage, and audit trails flow through automatically.

  • RBAC and ABAC at object, row, and column level
  • Column-level lineage with provenance back to source
  • Immutable audit logs for every operation
  • PII tagging and redaction built in