CMC · Building the data foundation for manufacturing AI

Turn Industrial Knowledge Into
AI-Ready Intelligence.

60+ Years of industrial
knowledge heritage
10+ Global offices across
US, Japan & Europe
1,500+ Enterprise clients
served worldwide
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How CMC creates value

Structure Data. Build Knowledge.
Power Reliable AI.

We help manufacturers turn fragmented product and process information into a trusted knowledge foundation, then connect that foundation to practical AI systems.

Diagram: fragmented knowledge — scattered documents, unwritten know-how and inconsistent terms — consolidated into an AI-ready knowledge layer that is organized, governed, continuously updated and refined by real-world feedback, delivering better search results, smarter AI assistants, lower costs and higher quality and compliance.
Our proof · Why CMC

Why Industry Leaders
Choose CMC

CMC combines manufacturing domain expertise, structured enterprise knowledge systems, and AI engineering to help organizations build trusted, future-ready operations.

Manufacturing depth

Manufacturing Domain Expertise

Decades of experience in automotive and industrial documentation give us a practical understanding of how knowledge flows across engineering, service, operations, and customer support.

Knowledge infrastructure

Structured Knowledge Infrastructure

We structure product data and technical knowledge so it can be searched, governed, localized, reused, and connected to AI.

Global delivery

Global Knowledge Delivery

Our global teams and localization expertise help manufacturers standardize and distribute knowledge across regions, product lines, and digital channels.

Three pillars · One partner

Consult, build, and improve the knowledge loop.

The structure is simple on purpose. What makes it different is how CMC enters the factory reality, builds from existing assets, and keeps the knowledge improving after launch.

01
Strategy & Consulting

Understand the work before designing the AI

Typical system vendors stop at the system owner. CMC interviews the people who write, maintain, translate, and use the knowledge in the field, then turns that reality into an AI-ready roadmap.

  • Field interviews and workflow discovery
  • Knowledge audit, taxonomy, and governance
  • AI adoption roadmap grounded in operations
Diagram: a repeating consulting cycle around a central knowledge database — 1. Understand, 2. Visualize & plan, 3. Validate, 4. Analyze & update — grounded in the real work.
02
Development

Build with proven assets, not a blank slate

CMC combines structured content systems, AI components, and new service assets already in motion. That means practical applications can be assembled around the knowledge manufacturers actually have.

  • Structured content, DITA, and XML systems
  • AI modules for search, generation, and service
  • Multilingual and localization-ready pipelines
Diagram: a three-layer stack — structured content in DITA / XML feeding a retrieval index of manuals, parts, warnings and translations, which powers AI applications for search, AI assistant, generation and support.
03
Maintenance & Operations

Keep knowledge improving after launch

Launch is not the finish line. CMC operates the system, updates the knowledge, localizes changes, and feeds what we learn back into the next improvement cycle.

  • Operations, governance, and release support
  • Continuous localization and content updates
  • Improvement loop across products and teams
Diagram: a continuous post-launch cycle around a global network — 1. Monitor, 2. Learn, 3. Improve, 4. Deliver — sharing and scaling best knowledge worldwide to one global standard of quality.
Case study · CMC × Lexus

CMC understands how to feed and manage AI.

Lexus International has worked with CMC since 2018. From AR/VR experiences to AI-ready asset development, CMC has supported complex automotive communications with technology, speed, and deep product understanding.
MD
Moe Durand
Senior Manager, Lexus Global Strategic Communications at Lexus International
Moe — CMC
Explore our solutions

Two ways to put CMC AI to work.

Start with the AI products, or start with the service layer that makes AI reliable. Either way, CMC connects the application to the industrial knowledge beneath it.

Screen mockup: a CMC Intelligence Platform search for 2022 service campaign torque specs, answered from service manuals, bulletins, technical docs, parts catalogs and training guides, with every key source cited — accurate answers in minutes, not hours.
AI CMC Intelligence Platform

AI products grounded in data only your organization has.

AI-ready knowledge systems that turn enterprise data into structured intelligence for search, service, translation, marketing, and decision support.

  • Grounded search & Q&A for service and engineering
  • Multilingual generation across 20+ languages
  • Decision support with full citation & audit trail
View CMC Intelligence Platform
Infographic: 60+ years of experience since 1962 across technical documentation, service manuals and parts catalogs, training and e-learning, marketing and launch assets, and localization in 20+ languages, with global coverage shown on a world map.
MK CMC Manual & Knowledge Services

The service layer that keeps industrial knowledge usable.

Documentation, training, marketing assets, and localization services that support product launches and ongoing operations end to end.

  • Full-lifecycle technical documentation
  • Launch & marketing content production
  • Continuous global localization at scale
Explore CMC Manual & Knowledge Services
CMC Tokyo team structuring knowledge together
Global teams · Now hiring
“

As a Senior Business Development Manager at CMC Group America, I've had the opportunity to work alongside an incredibly talented global team that is passionate about delivering exceptional experiences for our clients. The collaborative culture, commitment to innovation, and focus on employee growth make CMC a rewarding place to build a career.

MO
Michel Odle Senior Sales & Marketing Executive
We are hiring

Ready to shape
the future?

Join a team combining industrial knowledge, enterprise systems, and AI to solve complex manufacturing challenges that matter in the real world.

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