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CCTech Manufacturing AI Platform
Our platform offers enterprise-level risk prevention in engineering by executing automated rule checks, design validation, and design compliance verification powered by manufacturing AI.
Our Offerings
The manufacturing organizations are struggling with increasingly complex products, shorter development cycles, and more stringent regulations. Yet validation of designs and compliance still relies on manual verification, interpretation of documents, and access to a few senior experts without the support of manufacturing AI or automated design validation tools. Design standards have been published in PDF-based documents, spreadsheets, and homegrown systems.This has led to inconsistency across the fields.

The above problems are solved by the CCTech Manufacturing AI Platform through transforming engineering standards and experts controlled execution. It automatically checks CAD models, drawings, assemblies, and BOMs through the current engineering process, ensuring an explainable, repeatable, and defensible compliance scale. This is enterprise-level risk prevention in engineering.

Process Overview
Ingest standards & internal guidelines (documents and repositories)
Automatically extract, structure, and govern engineering rules from standards, specifications, and enterprise knowledge repositories.
Author and govern rules (low-code / no-code)
Enable domain experts to define, version, approve, and manage executable rules without programming dependencies for consistent design validation and design compliance. 
Run validations in engineering workflows (CAD + release gates)
Execute automated rule checks directly within CAD environments and controlled design release checkpoints.
Generate explainable results, reports, and audit trails
Produce human-readable validation outcomes, compliance reports, and complete traceability for audits and certifications using our manufacturing AI platform. 

Platform core capabilities

  • Ingestion of standards to transform ASME, ISO, DIN, ANSI, API, and internal standards into executable, machine-enforceable rules.

  • AI-assisted document parsing & extraction of rules from PDFs, Word, Excel, and SharePoint repositories with clause-level traceability.

  • No-Code / Low-Code Rule Authoring, enabling domain experts to define design validation logic without software development dependency. 

  • Centralized governed rule repository creates version-controlled rule storage serving as a single source of information.
Rule creation using Manufacturing AI platform
  • Deterministic rule execution engine ensures reliable and explainable logic-based design validation of geometry, drawings, assemblies and BOMs supported by manufacturing AI.  

  • Coordinated use of agentic AI supports validation of a variety of design factors simultaneously.

  • Validation control enables controlled AI assistance to avoid a false positive.

  • Design-time enforcement allows to carry out validation of the design as it is being developed rather than after it has been reviewed.
design validation
  • Native CAD integration is embedded directly inside tools that are currently in use like Autodesk Inventor, AutoCAD, SolidWorks, NX, Solid Edge, and Creo.

  • Real-time feedback points to rule violation with contextual explanations improves design validation and compliance decisions.

  • Zero workflow disruption occurs as no export/import cycles or parallel systems are required.
CAD Embedded design validation
  • Explicit domain modeling indicates clear separation and governance of mechanical, electrical, and manufacturing rules.

  • Domain-scope rule of applicability controls the relevant execution based on technical rules. 

  • Shared rule governance enables safe handling of overlapping rules across domains.

  • Cross-domain risk prevention helps in early detection of integration conflicts using manufacturing AI capabilities. 
Engineering Intelligence using Manufacturing AI