Do you need help with app development? Launching a new app can feel like an endless cycle of data gathering, UI tweaks, and trial and error. In this guide, we’ll show you how AI streamlines development and how to choose the perfect AI app development company to bring your vision to life.

AI App Development Overview 

AI app development focuses on creating web and mobile apps that use artificial intelligence to simplify processes and enhance user experience. These apps use machine learning (ML) algorithms to provide recommendations and natural language processing (NLP).

The AI apps market is expanding. It is one of the main reasons the best app developers upgrade their skill sets to specialize in AI in app development. There are different AI app developers, each with unique expertise and skills. Some are experts in natural language processing, while others specialize in machine learning or predictive analytics. Software solutions are also available for developing AI apps.

Advantages of AI App Development 

Tech leaders like Google, Microsoft, and Amazon use AI to serve their clients better. AI app development has many benefits, including enhanced user experience through predictive analytics and other remarkable features. Below are some of the advantages of developing AI apps. 

Quick voice search

Modern users want information as quickly as possible. That is why voice search is becoming more prevalent in mobile apps. The biggest names in AI app development are creating voice assistants that help customers daily. 

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Better communication

Chatbots can streamline the communication between the mobile app and the user and recognize and mimic emotions. With AI, interaction with chatbots is similar to communicating with an honest consultant, with the added benefits of fast, real-time responses. 

Real-time translation

With AI translators integrated into mobile apps, the apps reach a broader population and address language barriers. Real-time translation technology makes language translation in mobile apps fast and efficient. 

Data-driven content

AI uses optical character recognition (OCR) to convert images and translate content into different languages. Data-driven content can attract new users and boost app downloads, ultimately expanding an app’s reach and user base.

Conversational User Interface

A conversational UI is built using ML and NLP technology, which can enhance both the user experience and app performance. Apps in customer service, eCommerce, and healthcare websites commonly use these UIs as virtual assistants and chatbots. 

Step-by-Step Process of AI App Development

Even if you have decided to hire an app development company, you might be curious about the process of AI app development. Below are the critical steps in AI app development to help you understand the role of an AI app developer. 

1. Identify ideas and problems to be addressed by the AI app 

It would help if you started by identifying the issues your mobile app will solve. The first step is to consider which functions inside the app will require AI and what problems that would solve as a result.

2. Prepare data

AI-powered apps rely on vast amounts of data to work correctly. It is crucial to collect and prepare the data beforehand. In addition, you will need to verify the data for errors, gaps, or inaccuracies before consolidation.  

3. Choose the type of algorithm 

When deciding on the algorithm for your app, you must consider your specific use case and the type of data you’ll be working with. Standard AI app algorithms include decision trees, neural networks, and support vector machines. Each has strengths and weaknesses, so it is important to carefully evaluate which algorithm suits your needs. 

4. Choose a suitable AI language

In choosing the language, you must consider the project requirements and the data type needed. Python, Java, and C++ are popular options for AI app development. 

5. Select Platform

Developers use different frameworks and APIs to develop AI algorithms for AI apps. It is best to think carefully about the right design solution. Here are the key factors to consider. 

  • Cloud platform
  • Data storage location and ownership
  • Limitation of the chosen language 
  • Availability of APIs
  • Cost 

6. Design the user interface 

When designing the app’s user interface, it is crucial to determine the needs of your users and the type of tasks they’ll be performing. Consulting with a user experience (UX) designer can help ensure your interface is well-designed and easy to use.

If you need help with AI app design, work only with professional designers. Web and app design is among the 120+ categories available at Penji’s on-demand graphic design service. 

7. Create an AI app

To create an AI mobile app, you must consider the following: 

  • The architecture design of the app
  • User interface design
  • Frontend and backend development
  • App testing to ensure it resonates with the users goals and preferences

8. Test, launch, and monitor performance 

It is essential to test the AI app to ensure it functions properly. Then, you can launch your app and track its performance to see how your target audience receives it. Take note of user feedback and use analytics tools to monitor usage and engagement. 

Top AI App Builders for 2024

Here’s a quick rundown of some popular AI app development companies: 

  • Softr (Free & Paid plans): Easiest to use, allows building apps from prompts.
  • Microsoft PowerApps ($20/user/month): Powerful, uses prompts and spreadsheet-like logic.
  • Google AppSheet ($5/user/month): Turns spreadsheets into apps automatically.
  • Quickbase ($35/user/month): Uses detailed prompts to build internal tools (beta).
  • Create ($99/month): Creates entire apps from a single prompt (requires refinement).

Choosing the Right AI Developer

Building an AI app requires expertise. Consider these factors when hiring an AI developer for specific solutions:

  • Machine Learning: Look for developers experienced with algorithms that learn from data.
  • Voice Assistants: Voice recognition and natural language processing enhance user experience.
  • Deep Learning: Deep learning allows apps to learn and personalize based on user behavior.
  • Custom AI tools: Developers can build smarter apps with custom AI tools.
  • Robotic Process Automation (RPA): RPA automates repetitive tasks, improving efficiency.