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Development of mobile applications and web platforms with AI

Development of websites, mobile and web applications with the introduction of AI

AI as part of a digital product

  • Reducing the load on the team and speeding up the processing of user requests
  • Automation of work with documents and corporate data
  • Integration with CRM, internal systems, messengers and mail services
  • Personalized interaction based on user behavior and history
  • Quick and accurate responses to standard and non-standard queries
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х10
response rate
24/7
no days off, vacations, or
human factors
на 20-30%
improving customer satisfaction

Advantages of developing an application and website using artificial intelligence technology

For managers and product owners
For managers and product owners
  • Monitoring of all requests and identification of bottlenecks in the processes
  • Dialog analysis and user satisfaction assessment
  • Scaling without enlarging the team
  • Reallocation of resources for product development and business objectives


Find out the cost of developing an app and website with AI for business

Get a KP
For project and operational managers
For project and operational managers
  • Reducing the workload on the team
  • Unified incoming request management system
  • Automation of routine tasks and typical scenarios
  • Compliance with communication standards


Learn how AI in mobile apps and web services automates and simplifies client and internal processes.

Request a roadmap
For financial and analytical professionals
For financial and analytical professionals
  • Access to structured data on requests and interactions
  • Data-driven management decision support
  • Automatic reporting


To order the development of a mobile application and a web platform with AI

Order a demo

The cost of developing mobile apps and web services with AI

from 3-4 months
from 2000 ₽/hour
projects starting from 1 million rubles
LighTech First month refund guarantee
LighTech Comprehensive audit
LighTech 30 days of adjustment for real work
LighTech Support and mentoring from experts in related fields
LighTech Transparent process — TK work, reporting, tracking, timing control

The LighTech Team

Project managers
Product managers
DevOps engineers
Architects
Frontend Developers
Backend Developers
Mobile Developers
Flutter-
iOS Developers-Developers
Android Developers
QA Engineers
UX/UI specialists
Scrum Masters
Analysts
Designers
Marketers
Copywriters
Learn more about the team

Tell us about your project.

We will propose the optimal solution, taking into account the implementation of AI, work out the architecture of the product, create a roadmap and estimate the time and cost of development.
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LighTech

Our advantages

Scrum.org certification
Scrum.org certification

Our team is certified according to international standards Scrum.org . We apply the best practices of agile development to your business.

The Open-Source approach
The Open-Source approach

Active participation in open-source projects allows you to create reliable solutions using proven technologies and keep up with the times. 

The component approach
The component approach

Our solutions are created from ready-made tested components. This speeds up development and scaling, as well as making further support easier.

Worked commands
Worked commands

Our experts with extensive experience in collaboration guarantee efficiency, coherence and quality of the final product.

Experience in BPMS, CRM, and Highload development
Experience in BPMS, CRM, and Highload development

We are not new to complex projects. We have extensive experience in creating BPMS, CRM and high-load systems.

Accredited IT company
Accredited IT company

Proven professional qualifications, reliability and compliance with advanced industry standards.

Technology stack

We will help you create a solution that will meet the needs of your business. Our team uses proven and up-to-date tools, develops digital products for stable and efficient work for many years to come. 

Go
A compiled programming language with a simple syntax, focused on high performance and parallel computing.
Python
A powerful and flexible programming language that provides fast development and high performance. It is ideal for creating complex business logic and processing large amounts of data.
RDBMS
A relational database management system that allows you to store and process data in the form of linked tables
AWS
Amazon cloud platform, which provides a wide range of services for computing, data storage, and application development
Celery
Asynchronous task queue for Python, which allows you to perform deferred operations and distribute the load
Docker
A platform for packaging, distributing, and running applications in isolated containers
Django
High-level Python framework for fast development of secure and scalable web applications
DRF
Django REST Framework, a Django extension for creating APIs with REST architecture support
FastAPI
Modern Python framework for building high-performance APIs with automatic documentation
React
A library for developing interactive user interfaces. Allows you to create fast and scalable web applications with excellent performance.
Angular
A progressive framework for creating dynamic and responsive user interfaces. Guarantees smooth operation of your portal on any devices
Vue
A progressive JavaScript framework for creating user interfaces with a reactive data update system
Next.js
React is a framework with support for server-side rendering for creating optimized web applications.
Nuxt
A framework for Vue.js, which simplifies the development of universal and statically generated applications
Dart
An object-oriented programming language from Google used for developing mobile, web, and desktop applications.
Flutter
A powerful framework for fast and efficient development, ideal for creating cross-platform applications. It provides high performance and flexibility, enables efficient implementation of complex business logic, and provides high-quality user interfaces.
Clean Architecture
An architectural approach to software development that focuses on separation of responsibility and independence from external frameworks
Swift
A modern programming language from Apple for developing applications for iOS, macOS and other platforms of the company
Kotlin
A statically typed programming language from JetBrains, compatible with Java, used for developing Android applications and server systems

They trust us.

Bayer
Bronevik
Stabilafonder
X5Group
W
Lean Apps

Industry experience

Stages of development of mobile applications and web services with AI

1

Analytics and planning

We define product goals, usage scenarios, and the role of AI in solving problems. We analyze the audience, business processes, and current IT infrastructure. We form requirements, constraints, and an approach to implementation.

2

Designing a solution

We are thinking over the system architecture and user scenarios. We determine where and how AI will be used: recommendations, automation, data processing, and personalization. We prepare prototypes of interfaces and describe the logic of operation.

3

Development and integration

We are creating a web and mobile application, and configuring the server side. We integrate AI modules, connect external services, databases and APIs. We ensure data security and stable system operation.

4

Testing

We check the functionality, performance, and correctness of the AI. We are testing user scenarios, system load and stability. Fixing bottlenecks before launch.

5

Launch and development

We bring the product into production, set up analytics and monitoring. We monitor user behavior and the effectiveness of AI functions. 

Why integrate AI into mobile apps and web platforms?

Artificial intelligence in digital products automates processes, personalizes user experience and helps to make decisions based on data.

It is estimated that by 2030, up to 80% of project management tasks will be automated using AI, from documentation analysis to decision preparation and reporting. This means that digital products without neural networks are gradually losing their effectiveness and competitiveness.

What AI technologies can be implemented in digital products?:

Automation with AI helps in various fields: logistics and distribution, IT and integration, finance and insurance, manufacturing, consulting, wholesale trade, medical technology and pharma.

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Frequent questions

Who is an AI operator suitable for?
Where is the AI manager used?
What should I do if there is no structured knowledge base?

What will you get after completing the project

Get artifacts from the project
Open
A scalable solution
A scalable solution
Integration of artificial intelligence technologies
Integration of artificial intelligence technologies
Closing documents
Closing documents
Support
Support

Projects that we have implemented

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