How To Build An AI App In 2024

14 min read

Globally, the artificial intelligence (AI) market size was estimated at US$ 119.78 billion in 2022 and is predicted to be US$ 1,597.1 billion by 2030. This is with an estimated CAGR of 38.1 percentage from 2022 to 2030. In the North America artificial intelligence market was estimated by USD 147.58 billion as of 2021.


Such popularity of the technology inspires companies to think about how to build an AI app for their business.




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


If you wonder how artificial intelligence mobile app development can benefit your business, continue reading the article.


In this article, you’ll discover:

  • What is artificial intelligence?
  • Our experience in AI app development
  • Industries where artificial intelligence brings value
  • How businesses can benefit from AI
  • Top apps using artificial intelligence
  • How to make an AI app step by step


Let’s dive right into business and technical details. 


What is Artificial Intelligence?




Can machines think? — Alan Turing, 1950


The answer is yes. Today, machines not only think but make life-changing decisions.


Artificial Intelligence (AI) is a part of computer science whose task is to create smart machines capable of thinking and acting like humans. Together with machine learning and deep learning, artificial intelligence is driving the development of multiple industries.


Artificial intelligence includes speech recognition, learning, problem-solving, planning, and much more.


Read the article to learn how to create an AI from scratch.



How Addevice Can Help with AI App Development




If you wonder how to build an AI app, let us tell you how Addevice can help.


We are a team of professional mobile app developers who have experience working with the latest technologies. We combine artificial intelligence and powerful machine learning algorithms in AI app development to deliver the most advanced solutions.


Alertive, a mobile application that we built for one of our clients, helps medical workers to take care of the patients’ health. The solution provides a 24/7 vital signals tracking system that analyzes the patient’s information and registered symptoms to generate predictions and possible diagnoses for the patient’s condition. Such predictions reduce the doctor’s workload by 10 times. Sentinel provides almost a hundred percent accuracy, meets all FDI requirements, and guarantees security.



Industries that Benefit from Artificial Intelligence Mobile App Development




As mentioned before, artificial intelligence is a technology that can be used in various industries. 


The artificial intelligence market is forecasted to reach around $309,6 billion by 2026.


For those not sure whether AI app development will be able to bring value to their business or not, this part of the article explains how different spheres are already benefiting from its employment.


  • Transportation

Transportation is the first industry that comes to mind when thinking about artificial intelligence mobile app development. Autonomous vehicles, such as cars, trucks, buses, and even delivery drones, rely on artificial intelligence and machine learning.


Today, the transportation industry is using such features as automatic vehicle guidance, line-changing, collision avoidance thanks to the combination of the light detection and ranging system (LIDAR) and AI.


The global autonomous cars market is expected to grow to $1,191.8 billion in 2023.


  • Finance

The use of artificial intelligence in the financial sector brings several benefits. The technology can be used to create robo-advised personalized investment portfolios, automatically analyze data for loans, and make decisions in a matter of minutes.


Fraud detection is another way that AI is used in the financial industry. AI-enabled systems allow identifying any fraudulent activities in large organizations and before such activities reach dangerous levels.


  • Healthcare

Artificial intelligence and machine learning are driving changes in the healthcare industry. The technologies are already used to detect lymph nodes in the human body, congestive heart failure, analyze X-rays, tests, etc.


The value of AI in healthcare is the ability of such systems to gather data, process and analyze it to provide well-defined outputs to end-users.


In combination with the Internet of Medical things (IoMT), artificial intelligence will help doctors detect diseases early, make better diagnostics, and provide patients with medical help outside of medical institutions.

  • Education

Artificial intelligence has the potential to redesign the whole equational system by improving and alerting the learning process. For example, AI can step up to grade homework and tests, saving hundreds of hours to educators and all the while providing recommendations on how to fill the gaps in learning processes. 


  • Manufacturing

Manufacturing is another industry that will benefit from AI in the future. The technology can take up many tasks, such as controlling manufacturing operations and procedures. Predictive maintenance is one of the areas of implementation. By analyzing equipment and predicting failures, AI systems reduce downtime and increase efficiency.


  • Logistics and supply chain

Artificial intelligence in the supply chain helps to improve a number of areas, such as more accurate planning, improved efficiency, prediction of customer demand and related possible increases in delivery time, etc. A great example is the COVID-19 pandemic that impacted the supply chain operations for all companies from all over the world.


  • Cyber Security

Artificial intelligence is at an early stage of adoption in cybersecurity. Still, the technology is already delivering obvious benefits for data protection. Companies use it to detect suspicious user behavior and vulnerabilities for possible data leakage․


  • Marketing

Marketing deals with various tasks and a considerable amount of data.


Thanks to AI integration, companies can make operations more efficient. The technology can be used to create better marketing campaigns and strategies, A/B testing, and data analytics.



What are the benefits of AI mobile apps for business?


JavaScript chart by amCharts 3.21.15AI Primary Benefits toCompaniesEnhance the features, functions, and/or performance of our productsMake better decisionsCreate new productsOptimize internal business operationsFree up workers to be creative by automating tasksPursue new marketsCapture and apply scarce knowledge where neededOptimize external processes like marketing and salesReduce headcount through automationDon't know0204060JS chart by amCharts
JavaScript chart by amCharts 3.21.15Rank 1st Rank 2nd Rank 3nd


So, you decide to invest in AI app development. But what will your business get from it? The list of potential benefits is extensive and includes the following aspects:


  • Time and money efficiency thanks to automatization of routine tasks and processes
  • Better productivity and efficiency thanks to lower workload
  • Better and faster business decisions based on data provided by AI and ML
  • Protection from human error
  • High-accuracy predictions regarding risks, benefits, etc.
  • Identification of new sales channels and opportunities


If you are considering how to build an AI app, remember that it can help you change the way your business operates and make it more efficient. You just need to be ready to embrace new opportunities when they occur.







AI has already found its way into different solutions. You are probably using an AI app or two without even suspecting it. This part of the article will show you some of the most prominent mobile solutions relying on this technology that may give you a few AI mobile app ideas.


  • Siri

A famous virtual assistant by Apple, relies on artificial intelligence. Siri is available across the whole ecosystem of Apple products, including macOS, iOS, watchOS, and tvOS. The virtual assistant understands human language, can answer questions, set up reminders, find information, offer recommendations and even send text messages on the command. Siri is a great example of how to make your own AI assistant.


  • Cortana

Another virtual assistant, this time from Microsoft, also uses AI to provide users with personalized recommendations, answers, and reminders. Cortana can also create notes, manage your calendar and improve its work overtime.


  • Google Assistant

Google Assistant is considered one of the most advanced virtual assistants up to date. The solution developed by Google is available in a broader range of devices, including smartphones, cars, headphones, and even fridges. Users can make voice commands, search information, control devices, and much more.


  • Alexa 

Another AI virtual assistant in our list is developed by Amazon. The solution can be used for many tasks, such as answering questions, creating to-do lists, setting up alarms, playing audiobooks, and providing real-time information about weather, traffic, news, and much more.


  • Elsa

Examples of AI use are not limited to smart assistants. Elsa is a great example of how to build an AI app for education. This application helps users learn to speak in English and provides them with personalized feedback on their pronunciation when they practice speaking with the help of short dialogues.


  • Recent News

This news aggregation mobile application uses artificial intelligence to provide users with the latest news they are interested in. The app studies users’ fields of interest to provide the latest relevant information.


  • FaceApp

FaceApp presents one of the most prominent incarnations of AI in mobile app development. The selfie editor developed by Facebook allows users to create attractive photos by changing the appearance in the photos.


  • Fitle

Fitle is an app developed by the Addevice team for one of our clients in the retail industry. The solution uses two of the most promising technologies – augmented reality and artificial intelligence. 


The first one is used to determine accurate body measurements and generate a 3D model. Users then try on different clothes to see how they will fit them in real life. 

Fitle uses artificial intelligence to study customers’ preferences and purchase history to provide them with personalized clothing recommendations.


Make sure to check the case study explaining the project in more detail to better understand how to build an AI app of this type.


We are always here to help you with artificial intelligence mobile app development. Get in touch with our team, and we’ll provide you with a free initial consultation and project estimate.


How to Build an AI App: Key Steps & Considerations




Now, it’s time to find out how to build an AI app for your business. You can make an AI application by following steps:

  • 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 mentioned steps in more detail.


Identify a Problem and Analyze Competitors


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.


Select an AI App Development Company


AI app development requires a deep understanding of the technology. If you don’t possess the needed knowledge, the best solution is to hire a professional AI app development company. Start your research with places like Clutch, Manifest, ITFirms, 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 does it cost to build artificial intelligence?


AI app development cost depends on some factors, and the main of them 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, 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.

App Design & Features


After you have chosen the vendor who’ll help you with the task, it’s time to decide on the features that you will add to your application. Usually, applications use a bunch of basic features and some of the 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 attractive to the eyes.


Choose the Tech Stack for AI App Development


As a part of artificial intelligence mobile app development; you will need to choose the technology stack to build your solution. 


Programming languagesKotlin, JavaSwift, Objective-C
ToolkitAndroid StudioApple Xcode


Frameworks statistics from official GitHub accounts


FrameworkCommitBranches Contributors WatchStartForks


Please note that we mentioned only a few possible artificial intelligence solutions that can be used for AI app development. The choice of the technology entirely depends on a company's business requirements that an AI solution is developed for.


Build an AI Algorithm


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

  • Get to Know AI - understanding what problem you want to solve and what outcome should be delivered.
  • Define the problems - select the data for machine learning algorithm training, check it for inconsistencies, add labels, and define the chronological order.
  • Prioritize specific value - assess the potential business and financial value of various possible AI implementations
  • Recognizing the Internal Capability Gap - A business needs to know what it can and cannot do, in terms of technology and business processes, before embarking on full AI implementation.
  • Bring in experts and create a pilot project - Once your business is organizationally and technically ready, it's time to start building and integrating. This is where bringing in outside experts or AI consultants can be invaluable.
  • Form a Data Integration Team - Before you can implement machine learning in your business, you need to cleanse the data to prepare it ․
  • Repositories - as part of the AI ​​implementation plan - It's important to optimize the AI ​​warehouse for data capture, workflow, and simulation. By taking the time to develop options, you can have a huge positive impact on the performance of the system once it is connected to the network.
  • Build with Balance - The main consideration is that you must build a balanced system. This may sound obvious, but all too often AI systems are designed around specific aspects of how the team plans to achieve their research goals, without understanding the requirements and limitations of the hardware and software that will support the AI ​​․


App Launch & Maintenance


After the app is ready, you will need to launch it. However, the task won’t be finished at this stage. Just like any other software, mobile applications require regular updates and improvements to work properly and provide a sufficient level of security.


So, the work continues.


AI App Development: Final Thoughts


Now you know how to build an AI app. As you can see, it’s a complex process that requires deep technical knowledge of AI, machine learning, and data science. 

If you doubt that your knowledge will help you do the job, you can always hire a professional mobile app development company with previous experience in AI app development.    

Artificial Intelligence in mobile app development, How to Build an AI App, Medical Apps Development, App Reviews, Create a Voice Translation App, Importance of App, Online-ConferencingOnline MeetupsApp PrototypingCreate Wearable App  



Various applications are using artificial intelligence to one degree or another. Examples include such solutions as Alexa, Google Assistant, Siri, Socratic, Cortana, Replika, Elsa, Fitle, Wysa and many others.

If you decide to invest in artificial intelligence mobile app development, your business can get the following benefits:


  • Automatization of routine tasks and processes
  • Time and money efficiency
  • Better and faster decision making
  • High accuracy of predictions
  • Better risk mitigation
  • Faster identification of new business opportunities

The process of building an AI-powered application consists of the following steps:

  • Get to Know AI
  • Define the problems
  • Prioritize specific value
  • Recognizing the Internal Capability Gap
  • Bring in experts and create a pilot project
  • Form a Data Integration Team
  • Build with Balance

The development of an AI-powered mobile application can vary based on the number of platforms you are targeting, features that you are going to implement, technology stack, and even the country to which you will outsource app development. Usually, mobile app development costs start from $0 to $300,000+ for a basic application for a single mobile platform.

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