AI agents are brilliant.
The infrastructure feeding them is broken.

We close the Context Gap, giving AI agents the business understanding, economic efficiency, and governance to operate at enterprise scale. Without moving your data.

95% of GenAI pilots never reach production. Source: MIT, 2025.
$3.1 trillion annual enterprise AI cost crisis. Source: Enterprise Data.
$81,000 per month in hidden cloud infrastructure costs. Source: Average Enterprise.
60% of agentic projects will fail by 2028 without semantics. Source: Gartner D&A Summit, March 2026.

Unified data fabric, powering the enterprise context.

From cost recapture to ontology-grounded reasoning to governed agentic autonomy.

Phase 1: The Foundation

Virtualization Engine

Zero-copy data access + DuckDB edge caching. 80% of agentic queries served locally at zero marginal cost. No ETL. No egress. No data movement.

Up to 85% cost recapture

Phase 2: The Context

Ontology Engine

Formal ontologies (OWL/FIBO) map raw schemas to business concepts. Knowledge Graph + Context Graph for deterministic, auditable reasoning.

92.5% reasoning accuracy

Governance First

Built-in data governance with RBAC, RLS inheritance, audit trails, lineage tracking.

BCBS 239 ready & EU AI Act ready

Built on the open-source data stack

Three of the most powerful open-source data technologies. Two open standards. Zero vendor lock-in.

PostgreSQL

Ontology storage & Knowledge Graph

World's #1 database
DuckDB

Edge caching engine

6M+ downloads
Apache Iceberg

Open table format

Industry standard

MCP

Agent protocol

97M monthly SDK downloads
OSI

Semantic metadata exchange

Snowflake + Atlan + Salesforce

Built for regulated enterprise.

Financial services and healthcare. Where accuracy and governance are not optional.

Have questions, or interested in what we're building? Get in touch at contact@iqea.ai.

AI agents are brilliant. The infrastructure feeding them is broken.