Building the Future of Data

At ARAMAI, we're passionate about transforming how organizations work with data. Our mission is to democratize advanced data capabilities and make intelligent automation accessible to every business.

What We Do

ARAMAI builds the schema layer that AI agents query before they answer. Most enterprise AI failures trace back to systems generating outputs from probability instead of from the organization’s own structured knowledge. We make that structured knowledge — the schemas, mappings, and governance rules already buried in your systems — into a runtime resource for both humans and machines.

Our Mission

ARAMAI's mission is to bridge the critical gap between structured information and artificial intelligence by bringing human knowledge to AI, and AI to human knowledge. We enable organizations to transform their most valuable asset — their knowledge — into structured, intelligent systems that accelerate innovation, enhance decision-making, and deliver trusted AI solutions.

Our Vision

ARAMAI envisions an interconnected, more intelligent world where humans and AI work seamlessly together across structured and unstructured data sets. Its vision is to create the foundational infrastructure that enables the next generation of intelligent systems and content experiences.

Our Core Values

Look up before you make up.

Schema-grounded retrieval beats statistical guessing. Every AI system should query authoritative definitions before generating output.

Humans shape, AI executes.

Domain experts define meaning. AI agents enforce it at runtime. Neither replaces the other.

Structure is infrastructure.

Schemas are not documentation. They are queryable, governable, versioned assets — the substrate that makes AI dependable.

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

The Team

The ARAMAI team brings decades of combined experience in semantic web, knowledge graphs, structured data, and content engineering.

Together we’ve worked with dozens of the world’s largest enterprises across healthcare, finance, technology, and government — building the schema and metadata foundations that make complex information systems work.

Join Our Journey

We're a specialized team solving structure and semantic challenges for enterprises that need interoperable data and dependable AI. We bridge systems and standards while keeping humans in control. If you're passionate about schema orchestration, vendor-agnostic architecture, and building solutions where structure serves both business experts and intelligent systems, let's connect.

Exploring Future Opportunities? Connect Anyway

We're building relationships with talented people before specific openings exist. The best teams form when there's shared vision, not just an urgent job posting. If ARAMAI's mission resonates with you, let us know.

We'll keep you in our talent network and reach out when roles align with your expertise.

Get in Touch

Have questions about our company, products, or career opportunities? We'd love to hear from you.