From schema orchestration platforms to enterprise semantic services, discover how ARAMAI bridges your systems, aligns business meaning, and enables governed AI across your organization.
Purpose-built solutions and custom development that address:
Connect systems through canonical models and standards-aware mappings for true interoperability.
Access, Build, and Contribute to schemas, ontologies, and taxonomies that accelerate integration and AI accuracy.
Orchestrate data and content flows with built-in validation, lineage, and quality assurance.
Enable agents and applications to consult authoritative schemas at runtime for reliable, governed outputs.
Leverage our expertise solving schema challenges across regulated and complex enterprise environments.
Hundreds of healthcare and biomedical standards mapped, aligned, and governed across clinical data, content systems, and research workflows.
Controlled vocabularies, document models, and citation systems that maintain traceable definitions.
CRM, ERP, and product data harmonization across Salesforce, SAP, Oracle, and custom systems.
Specialized tools and workflows designed for the unique challenges of each professional role
Build and maintain canonical models with graph-based tools that preserve business meaning.
Design vendor-agnostic knowledge layers that scale across your technology ecosystem.
Edit schemas and business rules directly without waiting for developer intervention.
Orchestrate transformation pipelines with built-in quality checks and semantic preservation.
Connect agents to authoritative schemas for improved accuracy and controllable outputs.
Map across platforms while maintaining a single source of truth for all system definitions.
Our professional services team can customize any solution to meet your unique requirements
Build tailored data solutions that fit your specific systems, standards, and governance requirements.
Connect your existing stack with schema-aware bridges, standards, and vendor-agnostic architecture.
Equip your teams to govern schemas, manage models, and operate semantic infrastructure independently.