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Maia (AI-assisted development)
An AI assistant in Studio Pro that suggests logic, applies best practices, and generates domain models, workflows, OQL queries and translations
Mendix + AI
Mendix AI Development Services
AI that ships. Apps that think. Teams that move faster.
Everyone has an AI pilot. Few have AI that people actually use every day. MXTechies changes that. We build Mendix apps and AI agents that read your documents, answer your questions, flag what needs attention and hand the final call to your people. Secure, governed and live in weeks, not years.
Teams in Indiathe USAthe UAE
Quick answer
What is Mendix AI?
Mendix AI is the set of AI capabilities built into the Mendix low-code platform, part of Siemens. It covers two things: AI that helps teams build apps faster (Maia, the AI assistant inside Studio Pro), and AI that runs inside the apps themselves, such as chatbots, document processing and AI agents connected to models like OpenAI, Amazon Bedrock, Google Gemini or Mendix Cloud GenAI. Everything is built as visual models, so it stays readable, governed and maintainable.
The platform
What Mendix AI includes
Mendix calls it agentic AI “from planning to production”. Here’s what that looks like in real life, in four building blocks:
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AI agents and agentic apps
Agents that plan steps, call tools and data, and hand decisions to people for approval
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GenAI connectors
Ready-made connections to large language models for chat, embeddings and image generation, plus knowledge bases for grounding answers in your data. See GenAI app development.
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Enterprise governance
Security, compliance and audit trails across every app, agent and workflow
And it doesn’t stop there. Mendix works hand in hand with Siemens AI Studio (RapidMiner) for machine learning and Graph Studio for knowledge graphs, so your apps can predict, connect the dots and act, all in one place.
Services
Our Mendix AI services
Two big wins: build apps faster with AI, and build apps that are smarter because of AI. We help you get both.
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AI use-case discovery
Find the processes where AI saves the most time, and size the effort. Start with our AI readiness assessment.
AI readiness assessment02
AI-augmented apps
Add chat assistants, document reading, summaries, search and recommendations to new or existing Mendix apps.
Mendix app development03
AI agents and agentic workflows
Design agents that work across business systems, with clear limits on what they can read and do, and people approving key steps.
Agentic AI04
Model and data integration
Connect your chosen LLM, your knowledge base and enterprise systems such as SAP and Teamcenter through Mendix integrations and MCP.
Mendix integrations05
Faster delivery with Maia
Our developers use Maia to speed up modelling, logic and testing.
Mendix AI in Studio Pro06
AI governance
Set policies, access, audit trails and review steps through Mendix governance.
Mendix governanceUse cases
Mendix AI use cases we build
Real problems, real apps. Here’s where Mendix AI earns its keep:
Document processing
Reads invoices, forms and reports, extracts the data and routes it for review
Service desk assistant
Answers employee or customer questions from your own policies and manuals
Engineering and quality agent
Pulls data from Teamcenter and quality systems, flags issues and drafts reports
Exception handling
Reviews failed orders or payments, suggests a fix and asks a person to approve
Predictive insights
Shows machine learning scores from AI Studio (RapidMiner) inside the apps people already use
Knowledge search
Answers questions across connected data in Graph Studio
Delivery
How we deliver Mendix AI projects
No endless proofs of concept. One clear use case, one working app, then the next.
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Discover
1–2 weeksPick one high-value use case, agree the success measure and check data readiness.
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Design
Choose the model, data sources, guardrails and approval points.
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Build
Develop the app or agent in Mendix in short sprints, with users testing early.
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Govern
Apply security, access rules, audit logging and human review before go-live.
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Deploy and improve
Release to production on Mendix Cloud, your cloud or on-premises, then monitor quality and cost and add the next use case.
Why MXTechies
Why MXTechies for Mendix AI
Apps, models and data, one team
We work across Mendix, AI Studio (RapidMiner), Graph Studio and Siemens Intelligence Center X, so everything fits together from day one.
Production, not slideware
Every project ends with a governed app your people use, not a demo gathering dust.
Always on your clock
Delivery teams in India, the USA and the UAE.
FAQ
Mendix AI: frequently asked questions
What is Maia in Mendix?
Maia (Mendix Artificial Intelligence Assistance) is the AI assistant built into Mendix Studio Pro. It suggests logic and best practices, and can generate domain models, workflows, queries, translations and a starting app from a description.
Can Mendix apps use ChatGPT or other LLMs?
Yes. Mendix offers connectors for OpenAI and Microsoft Foundry, Amazon Bedrock, Google Gemini and Mistral, plus Mendix Cloud GenAI for Mendix-hosted models.
What is agentic AI in Mendix?
Agentic AI means software agents that plan steps, use tools and data, and take actions toward a goal. In Mendix, agents are built as visual models, can share tools through MCP, and can hand decisions to people for approval.
How do you keep AI apps secure and governed?
We limit what each agent can access, apply central policies and audit trails, and keep people in the loop for key decisions. Apps can run on Mendix Cloud, your own cloud or on-premises.
How long does a first Mendix AI app take?
A focused first use case typically reaches a working pilot in 4–8 weeks, depending on data readiness and integrations.
Do we get locked into one AI model?
No. Mendix uses an open architecture, so you can choose or switch models and connect your own knowledge base and agents.
Next step
Put AI to work in your Mendix apps.
Tell us the process, we’ll show you the plan.