Enterprise AI/ML Low-code Development
Deliver smart, intuitive, and personalized applications with Mendix’s AI capabilities.
Elevate your development strategy and unlock growth potential. Mendix uses AI and machine learning to optimize efficiency, fine-tune decision making, and proactively identify emerging problems.
Mendix AI Assistance (Maia), our AI-assisted development (AIAD) tool, provides guidance, enforces best practices, and optimizes application performance to help teams build smart apps fast.
Leverage AI-assisted development (AIAD) to improve development speed and quality.
Create enterprise solutions with greater proactiveness, decisiveness, and accuracy.
Mendix 10.12 introduces Mendix AI Assistance (Maia), our groundbreaking generative AI-powered assistant that provides guidance, assistance, and generation for Mendix developers.
Maia Chat (formerly Mendix Chat) is our generative AI-powered chatbot that provides immediate, detailed answers to your Mendix development questions.
Maia is accessible in Mendix Studio Pro with a single click and is specifically trained on our documentation, forums, and academy learning paths.
Maia Chat significantly boots the productivity and efficiency of Mendix Studio Pro. In fact, Maia Chat is so smart that it passed both the rapid and intermediate Mendix certification exams.
Learn more about MaiaMaia utilizes in-context recommenders to assist Mendix developers with real-time and context-driven options for the next, most relevant actions when building microflows, nanoflows, and workflows.
All of the Maia Recommenders point developers to the right next actions, which speeds up development and improves the developer experience.
Automatically inspects application models for Mendix best practices, detects anti-patterns, and guides developers step-by-step to resolve issues.
Improves the quality of the application, performance, and security.
Built with the ML analysis of over 12 million anonymized application logics, these recommenders use deep learning to provide real-time, context-driven recommendations and assist with the modeling and creation of application logic.
With a 95% accuracy rate, Maia’s real-time recommendations enable developers to build microflows and nanoflows up to 30% faster.
Similar to the Logic Recommender, but suggests applicable microflows or valid activities the workflow can jump to.
Maia brings generative AI-powered capabilities to Mendix Studio Pro, automating development tasks and generating application components to accelerate the development process and enhance consistency and quality. Maia’s capabilities are also on display in the Mendix Community forums.
Efficiently translate all texts in your application with one click from the batch translate window, ensuring no text is missed.
Maia brings the power of genAI to the Mendix Community forum by summarizing lengthy forum discussions into key points, making it easier to find answers to your questions. Maia can even rewrite your questions and properly format it to be more likely to get answered.
The Domain Model Generator enables you to converse with Maia Chat to build a domain model.
For example, you can say to Maia, “I want to build a bike rental application. There will be bikes and customers. I will rent the bikes to the customers. Generate me a model.”
Then, Maia creates the entities for bikes and customers and an association between them.
With Mendix, you can harness the power of AI to deliver solutions with human-like intelligence, insight, and awareness without having to be an expert in AI, ML or genAI.
Mendix is the only low-code platform with the AI/ML integration versatility of supporting both external AI services and embedded ML models, providing maximum flexibility.
Mendix makes it easy to use Large Language Models (LLMs) and Natural Language Processing (NLP) within your applications to add conversational experiences in a controlled manner.
Use the genAI model of your choice. Our OpenAI connector integrates with GPT-3.5, GPT-4, and DALL-E models to power the ChatGPT experience. And with our AWS Bedrock connectors, you can choose any foundation model, like Anthropic’s Claude 3, AWS’ Titan, Meta’s Llama 3, and Cohere’s Embed.
Our Conversational UI kit provides reusable components for creating chat-based interfaces by leveraging any supported LLM and integrating knowledge bases for more accurate responses.
Use Retrieval Augmented Generation (RAG) to combine information retrieved from a knowledge base with a text generation model to provide more accurate and contextually relevant responses with our PgVector Knowledge Base module.
Jumpstart projects with our AI Bot Starter App for a head start building your own private ChatGPT-like solution. Compatible with Azure, OpenAI, Amazon Bedrock, and the Blank GenAI Starter App, the starter application accelerates the process of creating your own custom genAI project.
Mendix easily connects to any third-party service to interact with hosted AI/ML models. Seamlessly integrate with ChatGPT, Google Bard, and Amazon Bedrock for generative AI. Or, use additional AI services from Google, Microsoft, AWS, Abbyy, etc.
Mendix makes it easier for teams to integrate AWS’ market-leading AI services, including:
Simply drag and drop them into your Mendix application to use them as part of your application, without the complexities of REST APIs or code.
Mendix is the first and only low-code platform to support the embedded integration of ML models.
The Mendix ML Kit aligns with the critical objectives of AI-minded enterprises, ensuring high performance, data privacy, and cost-effectiveness.
Enterprises use the ML Kit to deploy proprietary ML models directly into a Mendix application without the need for third-party services. To maximize AI interchangeability, models can be trained with various frameworks—TensorFlow, Caffe, PyTorch, etc.—and converted to the Open Neural Network Exchange (ONNX), an open standard for machine learning models.
Choose from hundreds of free, open-source, and pre-trained ML models. Drag and drop them into your application, and start building smart applications with speed and ease.
AI and GenAI are emerging and evolving at hyperspeed. So figuring out where to start can be tricky.
Our new guide, Spark Success with AI and GenAI, will show you six steps you can take today to get your organization AI-ready.
Download eBook
As AI matures the opportunity grows for the modern enterprise—which sounds exciting. But before a business can take advantage of AI in software development, it has to figure out how to build with unfamiliar technology and maintain rapidly changing technology.
Mendix 10 enables you to deliver software faster with AI-assisted development and helps you build AI-augmented applications.
Mendix empowers organizations to quickly design, build, iterate, and deploy AI-augmented applications by providing everything a company needs to get started and succeed.
In Trending Questions about Generative AI, Gartner® pulls together research to answer the biggest questions around: governance, use cases, aligning Generative AI to business goals, and much more!
What is an AI model and what are the different types of AI models? Get the details here, including how AI models work and examples.
Prompt engineering is the art of crafting precise, creative instructions to guide AI models in generating desired outcomes. Read on to learn the types of prompts and how to use them.
Maia is a collection of AI-assisted capabilities that support teams throughout the application development lifecycle.
Maia includes a suite of AI recommenders, each with specialized capabilities: Maia Logic Recommender, Maia Best Practices Recommender, and Maia Workflow Recommender. The purpose of these recommenders is to help teams model and deliver higher-quality apps faster and more consistently.
Maia is built into the Mendix IDE. The recommenders use deep learning and the ML analysis of millions of anonymized applications to guide developers and make application development faster and easier.
Maia includes three specialized recommenders:
Yes. Developers of all experience levels can use Maia to accelerate the delivery of low-code applications. Maia is turned on by default, but developers have the option to turn it off.
Maia helps experienced developers build and innovate faster. Our recommenders also help novice developers understand low-code by learning the best actions to take throughout each stage of the application development process.
Whether you’re a novice or a professional, Maia helps developers of all skill levels build apps faster and more efficiently.
Maia acts as a virtual Mendix coach by inspecting models, identifying issues, recommending fixes, and measuring your app against best practices. If you’re new to low-code, Maia will serve as your guide throughout the application lifecycle so you can learn how to develop apps as you go. For professional developers, Maia streamlines and automates repetitive tasks so you can build fast and innovate more.
