Backend AI integration services

For over 15 years, we’ve been providing businesses with scalable solutions. Contact us today for backend AI integration services that enhance your application.

AI has become a need-of-time tool, helping businesses to extract insights and provide customers with a tailored experience. We offer robust backend AI implementation solutions for mobile and web digital products.
Together, we will find the most suitable way to leverage the opportunities of advanced technology to achieve your business goals.
By adopting more efficient tools today, you optimize costs and significantly improve overall productivity.


We apply an agile-like approach, setting up the tailored software development in sprints of 2–3 weeks. This approach allows us to work with rapidly changing requirements and adjust to market demands.

  • 1
    We carefully study the specifics of your business to determine the scope of work and features that need to be integrated. And of course we give you an approximate cost.
  • 2
    We work in 2-week sprints and share results with you by the end of each sprint. It means that you can make changes in the project and observe the process from the inside.
  • 3
    We use the REST APIs for the fastest possible implementation of AI solutions in the backend of your product.
  • 4
    We provide post-release support to make sure that all bugs are fixed, and AI works stably. We make changes and implement additional features upon request.
We provide backend AI implementation solutions for use in different industries.


Artificial intelligence in medicine has great potential, which is constantly expanding. AI backend integration for the healthcare industry can be utilized in various tasks such as patient personal profiling or healthcare personnel support. It can also significantly accelerate different processes, from administrative workflow to image analysis and diagnostics.


Fintech AI-powered backend systems can revolutionize areas such as banking, investment, electronic payments, financial management, and more. There are numerous ideas for implementing AI, such as fraud prevention, automated customer support, credit history monitoring, analyzing data for better trading decisions, and reducing human errors.


Booking platforms with AI backend integration can significantly enhance the user experience of travel platforms. AI can act as a smart assistant that suggests the most suitable offers to customers, helps with booking, schedules trips in a calendar, and much more.

Real estate

Real estate AI integration services open up various options for paired agent/customer apps. This integration can free agents from paperwork through automatic document workflow and speed up the process by suggesting available properties in real time. On the customer side, AI can offer personalized promotions and rate properties based on the buyer's views and searches.


An e-commerce store with AI backend integration can greatly benefit in two ways. AI can provide customers with better product recommendations, advanced search opportunities, and support via chatbots. Moreover, artificial intelligence can improve database management — the e-commerce industry deals with massive amounts of data, which certainly requires automation.

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The abbreviation stands for artificial intelligence, which is a field of computer science that focuses on designing algorithms and models to perform tasks that traditionally require human intelligence, such as recognizing patterns, making decisions, and understanding natural language. AI covers a wide range of areas like machine learning, natural language processing, computer vision, and numerous others. It involves the collection and analysis of data to enable machines to learn from patterns and make predictions. Artificial intelligence continues to evolve rapidly, with new approaches and techniques emerging constantly.
AI integration means implementing artificial intelligence tools into an existing application to enhance its functionality and performance. AI tools such as visual recognition, speech processing, personal recommendations, and automated data analysis can help applications provide more accurate and personalized services to users. For example, an e-commerce application might use AI to provide personalized product recommendations based on a user's browsing and purchase history. AI integration can also improve application performance by automating routine tasks and reducing errors.
The AI integration process can vary in length depending on a number of factors, such as the complexity of the AI system being integrated, the level of customization required, as well as availability, size, and quality of data. Some simple backend AI implementation solutions can be completed in just a few days, while more complex projects may take several months. The integration process typically involves several stages, including defining the problem and goals, gathering and preparing the data, selecting and training the AI model, integrating the model into the existing system, testing and validating the results, and deploying the system in production. Anyway, you can contact us, and we’ll calculate the approximate time of development for your project.
Updating and maintaining the AI integration over time typically involves monitoring its performance, identifying areas for improvement, and implementing the necessary adjustments to the AI model. This may include fine-tuning the algorithms, incorporating new data sets, and making updates or changes to the underlying technology stack. Regular updates and maintenance are essential to keep the AI integration up-to-date, accurate, efficient, and reliable. We provide maintenance services for all our projects, so you can be sure that as AI integration providers for your backend systems, we won’t leave you once the main task is completed.
Yes, these technologies are powered by natural language processing and can be integrated into an application with REST APIs. For example, ChatGPT can be integrated to provide a conversational interface to your application, enabling users to ask questions, receive recommendations, and perform various tasks within your app.
Integrating AI in cross-platform and web applications is no different from the process for mobile applications and is undoubtedly possible.
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