How to Build an AI App: Key Considerations, Tech Stack, & Opportunities


Today, artificial intelligence is used everywhere, from smart assistants to self-driving cars and healthcare solutions. AI in app development is also widely used.

In 2021, it was estimated that the market for artificial intelligence would be worth $58.3 billion.  

The technology’s widespread adoption forces companies to think about how to create an AI application for their sector. 

Learn how to create an AI application for your company right now. The steps below can be used to create an AI application.

  • Identify a problem
  • Select a development company
  • Design an app
  • Create an AI algorithm
  • Choose tech stack
  • Launch and maintain your app

Let’s review each of the above steps in more detail.


The first step in mobile app development is coming up with a unique idea that will offer value to customers.

What problem do you want to solve? How can you make your solution stand out from the crowd?

Before you move, you need to answer these questions.

If you are going to develop an app for a wide audience, you will need to analyze the market, identify competitors, and come up with USP (unique selling proposition.)

If you are going to make an AI app for your internal business needs, you will need to analyze the problems you want to solve, which will help you further work on its functionality.


A deep understanding of the technology is required for AI app development. The best option if you lack the necessary knowledge is to work with a reputable AI apllication  development company. Start your research with places like Clutch and Manifest firms, where you will find hundreds of companies with detailed customer reviews. The following list of actions will help you make the right choice:

  • Identify your prospects
  • Analyze available customer reviews
  • Analyze relevant experience in AI app development
  • Get in touch with selected companies
  • Conduct interviews and discuss your project
  • Make decisions based on all the above factors

You are probably wondering how much it costs to build artificial intelligence.

The AI app development cost depends on some factors, and the main one is the complexity of the artificial intelligence algorithm. AI app development requires the involvement of developers who know how to create complex algorithms. On average, adding artificial intelligence to a mobile app increases its cost by 20-40% since the development company spends more time building an AI algorithm from scratch.


After you have chosen the vendor who’ll help you with the task, it’s time to decide on the features you will add to your application. Usually, applications use a bunch of basic features and some of the more advanced ones. In your case, you can build your unique features around artificial intelligence.

Remember that app design is no less important. It should be user-friendly and appealing to the eyes.


As a part of artificial intelligence mobile app development, you will need to choose the technology stack to build your solution. When we talk about app development, you first need to choose your programming language. 

The technology that is chosen entirely depends on the business needs of the company for which an AI solution is being developed.

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The development of an AI algorithm consists of a few steps:

  • Learn about AI by identifying the issue you want to resolve and the desired result.
  • In order to train a machine learning algorithm, choose the data, look for inconsistencies, add labels, and specify the chronological order.
  • Prioritize particular values and evaluate the potential economic and business benefits of various AI implementations.
  • Prior to starting a full AI implementation, a business needs to be aware of the internal capability gap and what it can and cannot do in terms of technology and business processes.
  • Experts should be brought in, and a pilot project should be created, once your company is organizationally and technologically prepared to begin building and integrating. This is a situation where hiring outside consultants or AI experts can be extremely helpful.

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  • Create a Data Integration Team: Cleansing and preparing the data is necessary before you can use machine learning in your company.
  • Repositories are included in the plan for implementing AI. The AI warehouse needs to be optimized for data capture, workflow, and simulation. The performance of the system once it is connected to the network can be greatly improved by taking the time to develop options.
  • Build a system that is balanced. This is the main thing to keep in mind. Although it may seem blatantly obvious, too often AI systems are developed with a team’s intended research methods in mind. without being aware of the specifications and constraints of the hardware and software needed to support AI.



You now understand how to create an AI app. As you can see, it’s a challenging process that necessitates an in-depth understanding of AI, machine learning, and data science. 

If you have any doubts about your ability to complete the task, you can always hire a seasoned mobile app development company with experience creating AI applications.