100+ data sources. One Knowledge Graph. The foundation for enterprise AI.
The Problem
Engineering data sits scattered across PLM, CAD, ERP, DMS, QM, and legacy systems. Engineers spend up to 35% of their time searching for information instead of engineering. Critical relationships between design decisions, test results, and manufacturing constraints stay hidden across system boundaries.
When experienced engineers leave, decades of design rationale and institutional knowledge leave with them. New teams repeat expensive mistakes nobody documented. And AI? Without structured, connected data, it has nothing meaningful to reason with.
The root cause isn't missing data – it's disconnected data.
What We Do
The Linked-Data Layer integrates 100+ data sources into a unified, graph-based Knowledge Graph – where relationships are explicit, versioned, and navigable. CAD models connect to BOMs. BOMs connect to supplier data. Test results connect to requirements. Field feedback connects to design decisions.
This layer becomes the single source of truth for your entire engineering organization – and the foundation for every AI application built on top of it. Engineers query across all systems in natural language and get answers that are traceable and deterministic, not probabilistic.
Proven at Scale
Leading German OEM
One of Germany's largest automotive manufacturers operated across 14+ disconnected engineering systems. Design specifications, test data, and manufacturing feedback lived in separate silos – invisible to each other.
C64AI connected these systems into a single Knowledge Graph. Engineers now access cross-system context in seconds instead of hours.
Results:
- 70% reduction in information search time
- 10+ productive AI applications running stably on the C64AI stack
- Multi-million euro annual savings
- Design knowledge preserved permanently, independent of individual engineers
Global Industrial Technology Conglomerate
A Fortune 500 industrial technology company needed a unified data foundation to enable AI-driven engineering across multiple business units and product domains. Legacy systems, proprietary data formats, and decades of unstructured documentation made cross-domain knowledge sharing nearly impossible.
C64AI built the Linked-Data Layer across their engineering landscape – connecting PLM, simulation data, product documentation, and manufacturing systems into one navigable Knowledge Graph. The layer now serves as the central context foundation powering AI applications across business units.
Results:
- Unified data access across previously siloed business units
- AI-ready data foundation for cross-domain engineering applications
- Significant acceleration of knowledge transfer between product teams
- Scalable architecture serving as blueprint for global rollout
Key Capabilities
100+ Connectors: PLM, CAD, ERP, ALM, DMS, MES, QM, test systems, field data – integrated into one graph. No system left behind.
Explicit Relationships: Connections between data points are structured and governed – not inferred or guessed. Every relationship is versioned and traceable.
Natural Language Access: Engineers ask questions across all connected systems in plain language. No SQL, no queries, no data science mediation.
Knowledge Preservation: Design rationale, decision context, and institutional knowledge captured permanently in the graph – accessible to every future team.
Foundation Layer: Every AI agent, every vertical, every application builds on this one connected data layer. Build once, use everywhere.
Getting Started
Connect 2-3 core systems. First results within 6 weeks.