Smart automation for your business
AI-agents
We create software solutions based on artificial intelligence (AI) that can perform various tasks, adapting to business needs
How does an AI agent work?
An AI agent acts as an "intelligent assistant" - making decisions to complete tasks
[ Stages of AI agent work ]
Perception
receives information from the surrounding world through data: text, images, sounds, sensors
Analysis
processes information, searches for patterns or uses ready-made rules and algorithms
Solution
selects an action based on analysis
Action
shows the answer, sends a message, controls the device, etc.
Education
learns from mistakes to improve future decisions (in advanced systems)
In what areas
is an AI agent useful?
Customer
service
More
- Automates responses to typical customer requests
- Automatically distributes requests to departments
- Answers calls, consults clients, records orders
- Analyzes customer behavior and offers relevant services
Sales
and Marketing
More
- Finds potential customers by analyzing data
- Automatically conducts the first stages of negotiations
- Personalizes emails based on customer behavior
- Creates texts, product descriptions and posts on social networks
Internal business
processes
More
- Analyzes resumes, conducts initial selection of candidates
- Automates the creation, processing and storage of documents
- Forecasts needs and generates orders
- Analyzes the budget, forecasts expenses
Business
management
More
- Analyzes the market and offers business solutions
- Builds financial forecasts, assesses risks
- Analyzes data and proposes solutions to top management
- Identifies bottlenecks in business processes and suggests improvements
Production
and logistics
More
- Predicts equipment failures
- Analyzes products for defects
- Controls stocks, optimizes logistics
- Optimizes delivery routes
When developing AI agents, we follow the following basic principles
It can automate routine processes, improve customer interactions and provide analytics, ultimately saving time and resources.
receives information from the surrounding world through data: text, images, sounds, sensors
Each AI agent is created taking into account the individual requirements and characteristics of the client's business
This allows us to offer features and capabilities that are not available in standard solutions.
The process of developing and implementing the AI agent is carried out within the agreed timeframes
We understand that time is money and strive to minimize the time from idea to implementation
The AI agent interface is designed with user-friendliness in mind
which makes it easy to integrate into existing business processes. We also provide training and support so that users can quickly master all the features and start benefiting from them.
Examples of completed projects
AI Agent Banner Stat
Target:
Ad Placement Scraping Powered by AI Agents
Mechanics:
The Banner Stat system consists of three interconnected AI agents that process ad placements step by step, turning raw web page data into structured ad reports needed to:
- Monitoring advertising campaigns
- Competitor assessments
- Discovering new advertising strategies
- Analysis of advertising placement effectiveness
- Optimization of media planning
Results:
- Automated collection of banner ads and associated metadata from web pages using computer vision (CV)
- Determination of the type of banner ad (video banner, display, TGB block, branded pages, preroll)
- Extraction of advertising attributes such as brand, product category and advertiser from the collected data
HR AI-agent M-Social
Target:
Automation of adaptation of new employees and optimization of HR processes of the company
Mechanics:
- Train an AI agent based on collected employee data and personalized interactions
- Use natural language processing (NLP) to automate responses to employee requests
- Integrate an AI agent with current HR systems
- Automate internal surveys, request processing, and communication support
Results:
- Reduction of adaptation time for new employees by 35%
- Satisfaction level of new employees according to survey results increased by 30%, current employees - by 15%
AI Interview Transcription Agent
Target:
Translation of audio into text with the ability to generate text files in the report
Mechanics:
- Collection of interview audio files for training and testing
- Data annotation: creating text transcripts for audio recordings as a reference
- Using libraries and models for speech recognition
- Development of functionality for generating reports
Results:
- Easy to use and the ability to quickly obtain text reports
- Reduce audio file processing time by 86% (compared to manual processing) with 97% transcription accuracy
Get a consultation on AI agents for your business
Leave a request for a free consultation, and we will prepare an individual offer for you!
Answers to frequently asked questions
On average, developing an AI agent takes from 2 to 4 months, depending on the complexity of the project.
Text models: OpenAI, DeepSeek, Claude, Mistral.
Image processing: OpenAI Dall-E 3, AKOOL, Google Vision
Video processing: PixVerse, Google Video AI
Local LLVM: Llama, Mistral
To develop AI agents we use PHP and Java programming languages.
Yes, our AI agents can be integrated with various internal and external systems.
We use modern encryption and data protection methods to ensure the security and confidentiality of information.
Yes, we use neural networks that are already trained in various languages.
We provide technical support and updates to AI agents to keep them relevant and effective.
If necessary, we will train your staff and help set up processes.
We will provide recommendations on the necessary technical resources, including servers, software, and network infrastructure, to ensure the effective operation of AI agents.
Yes, they are possible. We will be able to make minor changes even within the framework of technical support.
Let's discuss your business needs
and how AI agents can be useful in solving them
Leave a request and we will contact you to arrange an online meeting