One database engine. Six storage modalities. Zero vendor lock-in. Every component is open source or open standard.
OACIS is built on four layers. Each layer has a distinct role. The layers above depend on the layers below, but can be independently replaced.
LLMs, dashboards, reports, natural language interfaces. Replaceable — the least trusted tier. AI is the last mile, not the first.
PostgreSQL + AGE + pgvector + TimescaleDB. The competitive advantage — owned, not rented. Models are rented intelligence with diminishing returns. The graph is owned truth that compounds over time.
SUMO + CDM + CIM + FIBO + HL7 FHIR. Shared definitions — what things mean. When Genesys says "queue" and Cisco says "skill group," the ontology resolves them to the same concept.
7 trust levels × 6 confidentiality tags. What's reliable and who can see it. Enforcement via PostgreSQL Row-Level Security.
A single PostgreSQL instance extended with specialized capabilities serves six storage modalities — eliminating the need for separate graph, vector, time-series, and analytics databases.
Graph database with Cypher queries. Core knowledge graph — nodes, edges, traversals, path analysis, fraud ring detection.
Vector similarity search. Semantic search, embedding-based deduplication, ontology nearest-neighbor matching.
Time-series analytics. Temporal versioning ("organizational time-lapse"), trend detection, drift scoring.
Columnar analytics & data lake. Lakehouse queries on Parquet, CSV, JSON, and Apache Iceberg on object storage.
Horizontal scaling. Distributed queries across shards for multi-tenant and large-scale deployments.
Geospatial queries. Jurisdiction mapping, geographic fraud velocity checks, location-based analytics.
Full-text search (built-in)
Compliance audit logging
Connection pooling
Job scheduling
Automated partitioning
Foreign data wrappers
Traditional architectures require separate databases for each modality. OACIS consolidates them into a single platform with ACID transactions across all six.
PostgreSQL core. Structured entities, ACID transactions, tenant isolation via Row-Level Security.
JSONB. Semi-structured configs, API payloads, flexible metadata — queryable with GIN indexes.
TimescaleDB. Temporal snapshots, trend analysis, organizational time-lapse with 10:1 compression.
pgvector. Embeddings, semantic search, similarity-based deduplication, ontology matching.
Apache AGE. Knowledge graph, Cypher traversals, relationship modeling, path analysis.
pg_duckdb. Parquet/Iceberg analytics, cold storage queries, data science workloads.
Data moves through tiers based on access patterns and age:
Every component is open source. Every format is open standard. No proprietary dependencies.
Five specialized subsystems share a single knowledge graph. A CVE discovered by SECURE-AIO automatically surfaces as a compliance gap in COMPLY-AIO and a risk factor in CX-AIO.
Customer Experience. Contact center intelligence — 16-platform adapter, real-time analytics, fraud detection, quality management, workforce management.
Business Operations. ERP, CRM, financial, HR, and operational data integration into the unified knowledge graph.
Legal Intelligence. Statute-to-case mapping, cross-jurisdictional analysis, regulatory change detection, deadline tracking.
Continuous Compliance. OSCAL/NIST/CIS/STIG framework management, continuous control verification, POA&M tracking.
Threat Graph. 53 node types — SBOM ingestion, CVE correlation, OSCAL controls, attack path analysis, SASE/zero-trust, deepfake detection.
We demo the full stack — from raw data ingestion through the Conveyor pipeline to knowledge graph queries and dashboard visualization.
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