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.
Build applications smarter
Leverage AI-assisted development (AIAD) to improve development speed and quality.
Build smarter applications
Create enterprise splutions with greater proactivess, decisiviness, and accuracy.
Accelerate innovation with built-in AIAD capabilities
Mendix 10.12 introduces Mendix AI Assitance (Maia), our groundbreaking generative AI-powered assistant that provides guidance, assistance, and generation for Mendix developers.
Guidance
Maia Chat (formely 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.
- Contextually aware, Maia is capable of handling conversations by retaining context from previous questions and answers.
- Users can view the source material from which the answer was derived.
- Maia levegares, markdowns for enhaced readability (bullet points, highlights, code snipperts, etc.)
Maia Chat significantly boots te 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.
Assistance
Maia 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, wich speeds up development and improves the developer experience.
Maia Best Practices Recommender
Automatically inspects application models for Mendix best practices, detect anti-patterns, and guides developers step-by-step to resolve issues.
Improves the quality os the application, performance, and security.
Maia Logic Recommender
Built with the ML analysis of over 12 million anonymized application logics. these recommenders use the 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 tp 30% faster.
Maia Workflow Recommender
Similar to the Logic Recommender, but suggests applicable microflows or valid activities the workflow can jump to.
Generation
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.
Maia Translations Generator
Efficiently translate all texts in your application with one click from the batch translate window, ensuring no text is missed.
Maia in Community
Maia brings rhe power of genAI to the Mendix Community forum by summarazing lengthy forun 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.
Maia Domain Model Generation
The domain Model Generator enables you to converse with Maia Chat to build a domain model.
For example, you can sat to Maia, «I want to build a bike rental application. There will be bikes and customers. I will rent the bikes to the costumers. Generate me a model.
Achieve AI-driven operational excellence
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.
Generative AI
Mendix makes it easy to use Large Lengusge Models (LLMs) and Natural Lenguage Processing (NLP) within youe applications to add conversational experiences in a controlled manner.
GenAI Model Choice
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 fundation model, like Anthropic’s Claude 3, AWS’ Titan, Meta’s Llama 3, and Cohere´s Embed.
Chat-Based Interfaces
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.
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.
AI Bot Starter App
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.
Cognitive Services
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:
- Amazon Bedrock
- Amazon SageMaker
- Amazon Textract
- Amazon Rekognition
- Amazon Translate
- Amazon Polly
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.
Embedded AI models
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.
Spark Success: 6 Steps to AI-Ready
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.
