Integrating AI in cross-platform and web applications is no different from the process for mobile applications and is undoubtedly possible.
AI and Machine Learning
Detail Service
Development
AI and Machine Learning
For over 15 year, have been offering scalable solutions to organizations on a global level. Contact us for backend AI and Machine Learning services to improve your application.
With the use of AI, businesses can now extract insights and give customers an enhanced level of customization. We provide reliable AI and Machine Learning solutions for mobile and online digital products.
- Automate repetitive operations to cut down on manual labor, reduce human error
- Make intelligent choices based on real time information and trends by analyzing massive amounts of data to provide actionable insights.
Workflow
We take an agile strategy, structuring the development of the custom software into sprints that last two to three weeks. With this strategy, we can adapt to the market's shifting demands and work with rapidly changing requirements.
1
Analytics
In order to identify the scope of the job and the features that must be integrated, we thoroughly examine the particulars of your company. Of course, we also provide you with a ballpark price.
2
Planning
We work in 2-week sprints and report our findings to you at the conclusion of each sprint. It indicates that you can alter the project and monitor the procedure from within.
3
Development
For the quickest AI solution implementation in the backend of your product, we employ REST APIs.
4
Support
In order to guarantee that all problems are fixed and AI operates reliably, we offer post-release assistance. Upon request, we make adjustments and add new features.
Industries
We provide backend AI and machine learning services in different industries.
Healthcare
Using artificial intelligence in medicine has tremendous potential and is growing all the time. AI and Machine learning is used for medical diagnosis, patient care, drug discovery and staff support and hospital management to improvement the overall patient and provider experience.
Fintech
Backend systems driven by fintech AI have the potential to disrupt a number of industries, including banking, investments, electronic payments, financial management, and more. There are several applications for AI, including preventing fraud, automating customer service, monitoring credit histories, using data analysis to make better trading decisions, and eliminating human mistake.
Booking
The user experience of booking platforms can be dramatically enhanced with AI and Machine Learning. AI can serve as a smart assistant that makes recommendations to customers about the best deals, assists with booking, plans travel on a calendar, and much more.
Real estate
Real estate AI integration services give various options for coupled agent/customer apps. This integration helps speed up the process by proposing potential properties in real time and releasing agents from paperwork through automatic document workflow. AI can rate homes for customers and provide customized promotions based on their views and searches.
E-commerce
AI and Machine Learning in an e-commerce site can be very advantageous in two ways. AI can offer clients better product recommendations, more comprehensive search options, and chatbot support. Additionally, artificial intelligence can enhance database management. The e-commerce sector deals with a huge amount of data, therefore automation is certainly necessary.
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FAQ
What is AI, and how does it work?
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.
Can you integrate AI-powered chatbots and virtual assistants into my app?
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.
How do you update and maintain the AI integration in my app over time?
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.
Can you incorporate AI in cross-platform mobile or web apps?
What is AI integration, and how can it benefit my mobile or web app?
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.
How long does the AI integration process typically take?
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.
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