Mobile AI is already changing the application market worldwide. Only in 2020, it reached over 2 billion dollars, and this number is expected to grow 5 times by 2026. So, we can state that mobile Artificial Intelligence is not a temporary trend but a promising area for business development. 

Our previous article demonstrated how this innovative tech is used in mobile app development. This time, let’s find out the main benefits of mobile AI for business, why you should develop an AI-powered mobile app, how much it costs, and how CHI Software can help you out.   

Why Develop AI-Powered Mobile Apps  

Smartphones, smart homes, smart cities, and many more smart things are around us daily. Artificial Intelligence (AI) and Machine Learning (ML) are already helping us in ways we may not even realize.

According to Deloitte’s Global Mobile Consumer Survey, 65 % of smartphone owners across 15 markets have already used an application featuring Machine Learning in the past. Many of these applications, predictive text and route suggestions, for example, are designed to make our mobile experience feel more personalized and convenient. As models, hardware, and the underlying data sets are improving over time, we can expect AI-infused services to get much smarter further on.

Read also: What mobile development trends will shake up the market in 2023?

Unsurprisingly, predictive text is the most used application involving Machine Learning. However, many of us have probably questioned the Artificial Intelligence of such features based on personal experience with text messages that have gone awry.

How smartphone users benefit from AI 

  • Predictive text 
  • Route suggestion  
  • Voice assistant 
  • Voice search  
  • Translation apps 
  • Voice-to-text 
  • Email classification 
  • Automated calendar entries 
  • Location-based app suggestions 
  • Automated photo classification 

Below are some popular examples of mobile apps created with the help of AI. 

Popular custom AI solutions

Benefits of Smarter Apps for Business   

Some statistics first. According to recent research on, the global market worth of Artificial Intelligence is going to reach $89 Billion by 2025. It plays a key role in mobile app development, which enables businesses to develop intelligent applications that can transform and meet end-users needs more easily.

Read also: The benefits and use cases of ML-based demand forecasting

  1. Room for intelligent interaction with customers: AI helps you understand your user behavior based on their previous shopping patterns, for example; 
  2. Automation of routine processes, like the auto-reply feature, and increased productivity in comparison to manual human labor; 
  3. Enhanced application security;  
  4. Cost efficiency. You can save money by creating a product that changes the processes and facilitates work;  
  5. Opportunity to build a stronger brand: the more value your business offers, the more interest customers develop in your brand. 

How Much Does It Cost to Build an AI Mobile App? 

Let’s talk numbers now. Of course, there is no unified price for all AI mobile apps. Still, our Project Managers assisted us in creating helpful visuals for you to have a bigger picture of what makes up the AI app cost, what factors influence the total app price, and how to calculate the cost for your AI-powered mobile solution.  

Read also: How AI is used in travel & hospitality: 7 use cases to check out

We have analyzed our AI mobile expertise and concluded that the average Artificial Intelligence mobile app development at CHI Software costs between $ 16,000 and $ 40,000 with the minimum iteration of $ 5,000 – $ 6,000. 

Now, let’s move on to the factors that define smart app price. The cost of your AI-powered mobile solution is based on three main factors and some extras:  

  • Research cost 
  • Data cost 
  • Resources cost 

We have also drawn up the following list of extras: 

  • Type of AI mobile app you want to build: for instance, personal assistant or chatbot, Machine Learning, voice/text recognition, or process automation;  
  • Number of the required features in the app. The MVP version with limited features will cost less than a final product with more than 5 features; 
  • Number of app development platforms you need the app for: iOS, Android, or both; 
  • Number of third-party APIs used in the app;  
  • Software requirements specifications; 
  • AI mobile app security requirements; 
  • AI app maintenance and support. 

Hourly breakdown of AI app development 

Now that we know the factors that influence the AI mobile app price, let’s see how to calculate the cost for your application.  

The table below demonstrates every app development stage and its corresponding timeline. 

Important note: below are the stages of AI app development using ready-made libraries that solve typical ML tasks, for example, Google’s ML Kit. Deep AI expertise is not needed to work with such libraries. It is conventional development.  

Read also: Top 13 mobile development conferences for 2023

As for more complex, custom ML solutions, they are solved in cycles, so as a rule, the total cycle quantity and result cannot be guaranteed and estimated in advance.  

Stages of AI app development with timeline


Below, we placed an easy and effective formula we use in our projects, i.e., the estimated hours or time required to build a smart AI app multiplied by the software developer’s hourly rate.

AI app cost calculation formula  


If you are still struggling with calculations, get in touch with our Business Development Managers. They will guide you through the whole research and development process and help with the calculation part.  

How Can CHI Software Help? 

The AI and ML unit of CHI Software was created back in 2017. Now, with 5+ years of expertise on commercial projects, the team can handle any innovative challenge. 

Our AI expertise includes, but is not limited to, the following: 

  • Data Science 
  • Machine Learning 
  • Computer Vision 
  • Natural Language Processing 
  • Signal and Audio Processing  

AI Engineers and Data Scientists use, in one form or another, the CRISP-DM methodology in their work. The main difference between this methodology and the conventional development mentioned above is cyclicality. It means, we can estimate the time spent per cycle, but we cannot predict how many cycles it will take to achieve the required results, nor can we guarantee their achievability. 

Read also: How to set up AI-based personalization in your company

The core services for business we provide:  

  • scientific research and consulting;  
  • full-cycle software products development;  
  • integration of ready-made AI solutions to your business; 
  • initial AI solutions improvement; 
  • improvement of user targeting, risk management, and forecasting.  

Our in-house AI and ML experts are Technical Leads, Data Scientists, ML Engineers, MLOPs, Software Testers, Business Analysts, and Project Managers. 

Let’s have a look at yet another AI-powered technology – Computer Vision. Since Computer Vision (CV) takes one of the leading roles in our smart applications, let’s have a closer look at the most popular CV tasks, and how they are realized in a real product. 

List of Computer Vision tasks for AI-powered solutions:  

  • Object detection 
  • Segmentation 
  • Image Classification  
  • Object Tracking 
  • Object Recognition 
  • Optical Character Recognition 
  • Facial Recognition and Analysis  
  • Image Generation 
  • 3D Reconstruction  
  • Parsing table or structures  
  • Sensor Fusion 
  • Navigation by visual markers  

Let us look into how it works on a real case.  

Computer Vision solution for a cosmetic retailer  

Cosmetic retailers now have to face the growing expectations of their customers for engaging experiences in stores. That’s why the consumers’ experience in beauty stores is now being significantly transformed by technology, namely by diverse mobile opportunities, like AI-powered solutions, to help pick up necessary products fast.    

Our client, a cosmetic retailer, has a variety of beauty items, including products for all skin types, under-eye care, and decorative cosmetics. They were looking for innovative mobile solutions that could analyze the customer’s face and skin type and then offer the best-suited product, thus improving their customers’ experience. 

CHI Software AI & ML team conducted research and developed a mobile application based on Computer Vision and photo face recognition.

Mobile AI solution developed by CHI Software
Here’s how the AI mobile app works:  

  • A user takes a selfie;  
  • The program accurately determines the user’s face in the photo;  
  • The app then analyzes the user’s unique facial features of a user and adopts the user profile;  
  • The applied AI technologies then help select the needed skincare; 
  • Our system allows to perform a detailed/smart analysis of the user’s face;  
  • The app now provides personalized skincare and beauty recommendations.  

Read more about Computer Vision solution for cosmetic retailer on our website.  

Final Words  

Among software products, mobile apps still enjoy the most demand and popularity both for business owners and their users. Enhancing new technologies, like AI, the mobile apps market is gaining even more perspectives. Thus, complex problem solving, like facial recognition and analyses, is becoming more accessible.  

It does not mean your business has to go big and create a complex AI mobile solution from scratch to keep up with the competition. The good news is that there are many ways to succeed. Full-cycle development is optional for AI solutions; sometimes, integration of the ready-made AI solutions to your business, or some initial product improvements, can make a difference.  

That’s where CHI Software has the expertise and desire to help. Our AI & ML team conducts profound scientific research before any further steps, so you can receive the AI solution that suits your business needs best. 

About the author
Irina Turchanova Content Writer

Irina is a Creative Writer with 10+ years of experience within the software development domain. She is keen on everything tech and gets easily inspired, follows all the recent IT-related trends, and loves creating interesting content for the CHI Software blog, and social media.

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