AI app builders are essential tools for developers seeking to harness the power of artificial intelligence in their applications.
These platforms offer a range of features, including pre-built models, data integration, and user-friendly interfaces, making it easier to incorporate AI functionalities like natural language processing or image recognition.
With so many AI app builders on the market today, however, choosing the right option for your needs can be difficult. To help, we analyzed dozens of the leading providers and selected the best AI app builders in 2023 based on pricing, ease of use, features, customer support and more.
Best & Most Used AI App Builders
Here are my top picks for the best AI App Builders for Businesses, comparing each & uncovering the unique features each has to offer.
Let’s get started.
Best Overall
Appy Pie
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Appy Pie is a no-code AI app development platform that allows anyone to create mobile and web apps without any coding experience.
With Appy Pie, you can create a variety of apps, including business apps, social media apps, and educational apps.
Appy Pie is a great option for businesses and individuals who want to create their own apps without having to hire a developer.
Best for
Bubble
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Bubble is a no-code platform that allows users to create web applications without any coding experience.
It is a cloud-based platform that hosts all web apps on its servers. Bubble offers a drag-and-drop interface that makes it easy to create and customize applications.
Bubble is used by a variety of businesses, including L’Oréal, Gartner, and Veed.io.
Best for
Glide
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Glide is an AI-powered no-code app builder that allows you to create custom business applications without any coding experience.
With Glide, you can connect to your data, create dynamic user interfaces, and automate busywork so you can boost productivity across your team.
Glide is used by businesses of all sizes to build apps for sales, marketing, customer support, operations, and more.
Best for
AppSheet
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AppSheet is another no-code development platform that allows anyone to create mobile, tablet, and web applications without writing any code.
It offers a drag-and-drop interface that makes it easy to build apps, and it supports a wide range of data sources, including Google Drive, Dropbox, Office 365, and Salesforce.
AppSheet is a popular choice for businesses of all sizes, and it has been used to create apps for everything from customer service to inventory management.
Best for
Builder.ai
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Standout Features
Builder.ai is an award-winning app development platform that uses artificial intelligence (AI) to help businesses build custom apps quickly and cost-effectively.
The platform offers a variety of features, including a drag-and-drop builder, a library of pre-built components, and an AI-powered design assistant.
Builder.ai has been used by businesses of all sizes to build apps for a variety of industries, including retail, healthcare, and financial services.
Learn More About AI App Builders
What is AI App Builders ?
AI app builders are software tools and platforms that enable individuals and organizations to create applications and software solutions with artificial intelligence (AI) capabilities without extensive programming or machine learning expertise.
These tools often provide pre-built AI models, libraries, and user-friendly interfaces for tasks such as natural language processing, image recognition, and predictive analytics.
AI app builders democratize AI development, making it more accessible to a broader audience, allowing them to integrate AI functionalities into their applications and services, fostering innovation and automation in various domains.
How does an AI App Builders work ?
AI app builders typically work by providing a user-friendly interface that allows individuals to design and deploy AI-powered applications. They often include pre-built AI models, libraries, and templates that users can customize to their specific needs.
Users input their data, configure the AI models, and define the desired behavior of their application. The AI app builder then handles the underlying AI processes, such as training and inference, and generates the code or infrastructure necessary to run the AI within the application.
This simplifies the development process, making it accessible to a broader range of users who may not have deep expertise in AI or programming.
Key Features of AI App Builders
- Pre-built AI models: Access to a library of pre-trained AI models for common tasks like natural language processing, image recognition, and recommendation systems.
- User-friendly interface: Intuitive and drag-and-drop interfaces that don’t require extensive programming skills, making it accessible to a wide range of users.
- Customization: The ability to customize AI models and parameters to suit specific application needs and data.
- Data integration: Seamless integration with data sources, allowing users to connect and process their data within the AI application.
- Automated training: Tools for training AI models on user-provided data, reducing the complexity of the training process.
- Deployment options: Support for deploying AI-powered applications on various platforms, including web, mobile, and cloud environments.
Benefits of using AI App Builders
- Accessibility: AI app builders democratize AI development, allowing individuals and organizations without deep AI expertise to create AI-powered applications.
- Time and Cost Savings: They reduce the time and cost associated with custom AI development by providing pre-built models and user-friendly interfaces.
- Rapid Prototyping: Users can quickly prototype and test AI concepts and applications, accelerating the development process.
- Customization: AI app builders offer flexibility to tailor AI models to specific needs, making it possible to address unique use cases.
- Increased Efficiency: AI app builders automate many AI development tasks, saving time and reducing the risk of errors.
- Integration: They seamlessly integrate AI capabilities into existing applications, services, and workflows.
Who Uses AI App Builders ?
- Small and Medium-sized Businesses: SMBs often use AI app builders to integrate AI features into their products or services without the need for extensive development resources.
- Entrepreneurs and Startups: Startups with limited budgets and technical expertise leverage AI app builders to create innovative AI-driven applications quickly.
- Non-technical Professionals: Individuals without deep technical skills, such as business analysts or domain experts, can use AI app builders to develop AI applications.
- Developers: Even experienced developers use AI app builders to accelerate the development process and reduce the complexity of building AI components from scratch.
- Data Scientists: Data scientists may use AI app builders for rapid prototyping and to focus on more complex AI projects, leaving routine tasks to the app builder.
- Enterprises: Large organizations use AI app builders to streamline AI development, deploy AI solutions across various departments, and automate business processes.
Trends of AI App Builders
- Low-Code AI Development: The low-code and no-code development trend has extended to AI app builders, making it even easier for non-developers to create AI applications.
- Vertical-Specific Solutions: AI app builders were increasingly catering to specific industries, providing pre-built templates and models tailored to the needs of healthcare, finance, retail, and other sectors.
- Edge AI: AI app builders were beginning to support edge computing, allowing AI applications to run on edge devices for faster processing and reduced latency.
- Interoperability: There was a growing focus on ensuring that AI app builders could seamlessly integrate with other software and platforms to create a more interconnected technology ecosystem.
- AI Governance and Compliance: With increased attention on data privacy and ethics, AI app builders started to incorporate features for responsible AI development, including monitoring and compliance tools.
- AutoML Integration: AutoML (Automated Machine Learning) was being integrated into AI app builders, enabling automatic model selection, hyperparameter tuning, and deployment.
