AI–powered solutions

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 involves incorporating artificial intelligence tools into a backend system to enhance functionality and performance. By connecting your backend system to AI tools via REST APIs—essentially a set of rules that allow one program to interact with another—we can significantly improve the performance of your product, marketing analytics, or business tasks. For instance, an e-commerce application could utilize AI to offer personalized product recommendations based on a user's browsing and purchase history. Not only can AI integration automate routine tasks and reduce errors to boost application performance, but it can also provide insightful analysis for marketing purposes, showcasing a detailed portrait of your target audience.

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 custom software development 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 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 integration. 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 an AI application in cross-platform and web applications through API is no different from the process for mobile apps and is undoubtedly possible.