SynapseIQ is a semantic enrichment and intelligence fabric for structured, semi-structured, and event-stream data.
It is designed as a vendor-agnostic capability surface for:
- ingestion
- normalization
- semantic enrichment
- ontology alignment
- glossary and business-term mapping
- quality validation
- reasoning and inference
- search and question answering
- downstream activation across analytics, martech, security, and operational systems
SynapseIQ is not a point integration for a single vendor. It is a reusable enrichment substrate that can sit on top of event buses, operational datasets, tabular lakes, and external APIs while keeping semantic contracts, provenance, and consistency intact.
- Vendor-agnostic core with vendor-specific adapters
- Strong contracts at every boundary
- UDM-aligned canonical model
- Ontology-aware enrichment and reasoning
- Stream + batch parity
- Human-in-the-loop where needed, automation-first where safe
- Explainability, provenance, and replayability by default
packages/
schemas/
ontology/
normalization/
transformation/
enrichment/
reasoning/
contracts/
grammars/
lsp/
services/
enrichment-api/
enrichment-collector/
reasoning-api/
control-plane/
warehouse/
models/
views/
tests/
infra/
cloud-run/
pubsub/
bigquery/
iam/
monitoring/
docs/
specs/
adr/
privacy/
vendors/
use-cases/
tests/
contract/
integration/
performance/
docs/specs/repository-architecture.mddocs/specs/contracts.mddocs/specs/canonical-model.mddocs/specs/capability-surface.mddocs/adr/0001-product-scope.md
- Freeze repository architecture and contracts
- Freeze canonical enrichment envelope and record model
- Add adapter SDK interfaces and test fixtures
- Add stream ingestion and normalization service skeletons
- Add ontology / glossary / UDM alignment layer
- Add quality and reasoning passes
- Add warehouse raw/staging/mart contracts
- Add developer-facing grammar/LSP surfaces
This repository is currently in architecture and scaffold phase.