Solution partner

Mendix

Mendix powers 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries. Documented deployments include AI agents, RAG.

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Use Cases

Industries

Countries

Agent Cases

Hyperscaler mix

Filter Mendix's implementations by cloud provider evidence.

How Mendix builds AIBuild, Buy & Compose — what they mean
Build — Custom, pro-code engineering — bespoke pipelines and SDKs (e.g. Bedrock, Vertex AI).
Buy — An off-the-shelf assistant or copilot, adopted as the main solution.
Compose — Low-code / no-code assembly (e.g. Copilot Studio, Power Platform, n8n).
Mixed — A combination of more than one of the above.

Build / Buy / Compose across this partner's documented cases

100%

BuildBuyComposeMixed

1 of 2 cases classified (50%) · Compare all use-case types

Reported outcomes

2 cases report measurable results

−80%

Time & speed

median · 1 metric

−50%

Quality & accuracy

median · 1 metric

Medians of results published in Mendix cases, normalized for comparability. See all benchmarks →

Evidence persistence

1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

All Use Cases (2)

Vivix Vidros Planos Transforms Glass Manufacturing with Mendix Low-code and Amazon Bedrock

Vivix Vidros Planos, a Brazilian glass manufacturer, was challenged by slow, manual production tracking and complaint resolution processes and the need to accelerate technician training.In collaboration with AWS partner Mendix, Vivix built Virtual Engineer, a generative AI chatbot powered by Amazon Bedrock foundation models including Claude-2, integrated with Mendix Glass DNA application.The Virtual Engineer supports production data insights, defect analysis, real-time complaint support, and knowledge sharing using RAG with IT/OT data integration.The solution led to an 80% reduction in complaint resolution time, 85% faster response to production issues, accelerated technician training from years to months, and improved operational efficiency.

ManufacturingBrazilApr 2026

Generative AI Transforming Industrial Manufacturing with AWS at Hannover Messe 2024

AWS showcased multiple real-world generative AI use cases in industrial manufacturing at Hannover Messe 2024, featuring customers like KONE, BMW Group, Merck & Co., and Vivix Vidros Planos, with partners including Bosch and Mendix.Use cases included troubleshooting and equipment maintenance acceleration, supply chain inventory analysis, defect detection using synthetic data, operator work instructions, product lifecycle visibility, and predictive maintenance.Key AWS technologies used were Amazon Bedrock, AWS IoT SiteWise, Amazon SageMaker, Amazon Q, Amazon QuickSight, and AWS Inferentia.Customers reported benefits such as faster issue resolution, higher operational efficiency, better product quality, fewer false rejects, and accelerated technician training through AI assistants and digital twins.AWS provides a comprehensive, secure, and scalable AI technology stack facilitating generative AI integration in industrial manufacturing operations at scale.

ManufacturingGermanyMay 2024

AgentRAG