Low Code No Code Platform:
Empowering Efficiency with
AI and ML

Several well-regarded institutions are working tirelessly to integrate low code no code platform with Artificial Intelligence and Machine Learning. Google, H2O, MIT, and others. The integration of two core technologies will make it easy to use AI for everyday purposes and micro-applications.

In this article, we’ll explore the integration of AI and ML with low-code and no-code platforms. We will also overview five approaches to AI/ML integration with low code no code platform. And finally, evaluate the future of such technologies.

AI and ML and Low Code No Code Platform

Low-code and no-code platforms are becoming increasingly popular due to their ease of use, speed, and ability to increase productivity.

Codeless development is a rising industry, and AI and ML integration can truly democratize the market in favor of micro-development. The current market cap of $22 Billion as of 2022 will expand to $32 Billion within the next year(2024) with a cumulative CAGR of 26%.

low code no code platform

AI and ML could make these new-gen development platforms at par with their coded counterparts. Some of the latest innovations with the integration of AI and ML with low-code and no-code systems are:

Google AutoML was designed as a no-code platform for Android and iOS developers. The platform allows anyone to deploy ML models for their own use without any expertise. It has an API that can scan faces, label images, and much more.

H2O AutoML: A Low-Code ML platform can help users deploy several ML algorithms such as gradient descent, linear regression, and others. It automates the process of building multiple models at once and deploying them together.

MIT has a course to teach no-code AI/ML. This system will focus more on building customized data solutions.

ObviouslyAI is yet another no-code platform that can make predictions based on past data without the need for any coding.

The Need for AI/ML Integration with Low Code No Code Platform

  • Improved efficiency and productivity: No-code platforms are well known for their time-saving. With AI and ML, these platforms can automate repetitive tasks and save time for other essential activities.
  • Improved decision-making: These can provide real-time insights for corporate leaders such as C-suite executives. At the same time, any sensitive information will remain safe in their hands.
  • Enhanced user experience: It can help everyone build customized recommendations without exposing their preferences to others. By doing so, their privacy will remain in their own control.
  • Reduced development time: Integrating AI and ML technologies into no-code platforms can further accelerate development and reduce the time to market.
  • Increased accessibility: Anyone who needs AI and ML in their daily lives can use them without exposing their personal information or any sensitive data. This tool is crucial for primary researchers, academics, analytics professionals, etc.
  • Cost savings: Since the end users can build their own applications, the development cost will be much lower than earlier.

5 Approaches to AI/ML Integration with Low Code No Code Platform

There are several approaches that organizations can take to integrate AI and ML technologies with low-code and no-code platforms. These approaches include:

  1. AI-powered Drag-and-Drop Components: Some low-code and no-code platforms offer AI-powered drag-and-drop features, such as forms and workflows, that users can use to build applications. These components automate repetitive tasks, such as data entry and validation, and make predictions and recommendations. However, ensure that the no-code/low-code platform supports such drag-and-drop building.
  2. AI/ML APIs: Many AI and ML technologies provide APIs that You can integrate with low-code and no-code platforms. Users can use these APIs to access the AI and ML algorithms and incorporate them into the application. AmazonML API is the most well-known API for a no-code-low code platform.
  3. AI/ML-powered Platforms: Some organizations may use AI/ML-powered low-code and no-code platforms specifically designed for such purposes. These platforms provide a range of tools and features for building and deploying AI and ML applications. ObviouslyAI is such a platform that helps design and run data science tests without coding.
  4. AI/ML plugins: Some low-code and no-code platforms offer AI and ML plugins that can be added to the platform to provide AI and ML capabilities. Any user can use these plugins to automate repetitive tasks, make predictions and recommendations, and provide users with personalized experiences. An example can be WordPress, a popular no-code website builder. Wordlift, SEOPress, and Akismet Spam are some AI-based plugins.
  5. Custom Code Integration: No matter how much no-code or low-code platforms come into play, customized coding will always be necessary. AI/ML models can be deployed on the cloud and attached with no-code or low-code systems with some custom-coded middleware.


The most challenging task of low-code and no-code platforms is a minor bug in the dependent systems(plugins, custom code, etc.) makes it a nightmare to debug the system. Assistance from an expert becomes vital to ensure project success.

At Metaorange Digital, we can assist you in developing, debugging, and even optimizing your no-code/low-code project and enable seamless integration. The power to make major decisions on your project still remains in your hand, and we just assist you in making it a success.

Future of AI/ML Integration with Low Code No Code

Integrating no-code/low code with AI/ML will empower smaller developers to compete with big corporates. As AI and ML technologies evolve, low-code and no-code platforms can offer even more advanced capabilities, such as real-time data analysis and automated decision-making.

In addition, these platforms will likely become more accessible to a broader range of non-technical users. These codeless platforms will allow organizations to democratize AI and ML development and enable more people to build and deploy intelligent applications.


Both AI/Ml and No-code/Low-code platforms represent new-age technologies. Together they can revolutionize the landscape of micro-development. With increasing development costs, no-code/low-code platforms offer much relief.

However, managing such platforms in the event of any error can significantly hamper your project. Metaorange Digital can help you solve these errors with managed support, development guidance, and custom solutions to make your AL/ML project on no-code/low-code a powerful blend.

Learn More – Cloud Migration Services Of Metaorange Digital

Amit Bhatia

Co-founder of Metaorange Digital, Expertise in DevOps tools, Cloud Migrations and Deployments.

Amit has over 16+ years of experience in IT and 5+ years in the field of DevOps, Cloud and automation technologies. He is a young entrepreneur with strong technical knowledge in Microsoft, Cloud, DevOps & Microservices and has expertise in highly scalable, available and fault-tolerant cloud architectures. He also has deep expertise in DevOps tools, Security, Cloud Migrations and deployment. Amit is a recognized Industry leader when it comes to migration of workloads from On-premise to Cloud, Configuration Management and Assessment.

Blog Date

5 June, 2023



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