Trustworthy AI Begins with Governed Data

Schema-aware infrastructure for enterprise AI. We unify structure and meaning across systems so AI agents query authoritative definitions instead of guessing.

Production results from schema-aware AI

92%

Accuracy with schema-aware retrieval (vs. 68% baseline)

90%

Reduction in AI hallucination on tested workloads

5–16×

Token efficiency on the CoreModels MCP benchmark

Consulting and Delivery, End to End

Consulting, engineering, and managed services that connect systems, align structure, and make AI dependable. We deliver end-to-end with your team.

Advisory & Strategy

Readiness assessments and outcome-based roadmaps
Semantic/metadata architecture and governance models
Executive-friendly pilots to prove value fast

Build & Integrate

Software development and implementation services
Standards-aware mappings and interoperability across platforms
API/pipeline integration and co-delivery with your engineers

Operate & Evolve

Managed services: support, monitoring, and change management
Human-in-the-loop reviews for quality and compliance
Training, enablement, and staff augmentation to scale reliably

Two decades refining the methodology

CoreModels approach is the product of twenty years of schema virtualization and mapping work across healthcare, finance, content, and enterprise systems.

The companies below have implemented the methodology in production.

Adobe
Cisco
Eli Lilly
Mayo Clinic
Microsoft
PayPal
Sage Bionetworks
Healthcare
Adobe
Cisco
Eli Lilly
Mayo Clinic
Microsoft
PayPal
Sage Bionetworks
Healthcare
Adobe
Cisco
Eli Lilly
Mayo Clinic
Microsoft
PayPal
Sage Bionetworks
Healthcare

Let’s Get You Started

From discovery to delivery. Pick the path that fits.

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See the approach in action. We show how we connect systems, align structure, and enable governed AI, then answer your questions.

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