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
What an AI agent does instead of you
Specific tasks the agent takes on — right now
[ Real tasks ]
[ 01 ]
Customer Service
Manager manually processes incoming requests — loses leads, can't respond at night
Agent accepts requests 24/7, responds instantly, escalates complex ones to a human
−2 hours per day on processing incoming requests
[ 02 ]
Chat Monitoring
Manager manually scrolls through chats every morning, looking for agreements and open issues
Agent monitors work chats and delivers a ready digest every morning
−30 minutes per day on manual chat audits
[ 03 ]
Lead Generation
Marketer manually monitors groups and chats in search of potential clients
Agent analyzes up to 500 chats in parallel and forwards relevant messages
500 chats instead of 10 for the same effort
[ 04 ]
Internal Analytics
Report takes days to prepare — by the time a decision is made, the data is already outdated
Agent collects, structures, and delivers a ready report on schedule
Report in 5 minutes instead of several hours
Works with your systems, data and channels
[ 01 ]
Connects
to your data
- PostgreSQL, MySQL, MongoDB and other databases
- CRM, ERP, SAP, Google Sheets, corporate storage
- Works with real company data, not demo examples
[ 02 ]
Integrates
into your channels
- Telegram, WhatsApp, Slack and other messengers — 24/7 communication automation
- HubSpot, Salesforce, SAP — updating data without employee involvement
- Google Docs, Notion, internal knowledge bases — answers based on up-to-date documentation
- Custom APIs and internal services — integrates into any business process
[ 03 ]
Stays within
your perimeter
- Local deployment on client servers
- Data does not leave the company perimeter
- Suitable for projects with enhanced security requirements
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
Objective:
Automate the monitoring of employee correspondence with clients in Telegram to prevent missing important agreements and open questions
Mechanics:
- An AI agent based on DeepSeek (with the ability to integrate other AI models) is added to chats. Company employee data is pre-loaded into the system for accurate identification of parties
- The agent operates in the background without interfering in dialogues
- Every morning, it automatically generates a digest for the previous day with two key blocks:
- List of agreements (deadlines, promises)
- List of open questions (unfinished discussions)
Result:
- Team lead saves 30 minutes per day by eliminating manual chat audits
- Achieved transparency in work processes, reduced risk of missed deadlines and loss of important information
Read more
Goal:
Development of an AI agent for gathering information about potential orders, projects, clients, etc.
Mechanics:
- The AI agent monitors specified chats, collects messages according to configured parameters, and forwards them to private messages or a dedicated group
- Depending on the settings, the AI agent can reply to messages in chats taking the context into account
Result:
Time and resource savings on information retrieval – processing up to 500 chats simultaneously
Read more
Objective:
Enabling LLM operation on the client's infrastructure
Mechanics:
- AI model selection - using open-source models: Llama, Deepseek, Qwen, etc.
- Installation and configuration of necessary software and containerization of the solution for stable operation
- Connection to client's internal systems through secure APIs
Result:
- Complete data confidentiality (information does not leave the client company's perimeter)
- AI operation independent of internet connection and external services
Read more
Goal:
Create a New Year digital gift for clients, partners
Mechanics:
- Personalization: User uploads their photo to become the main character of the card (a New Year's character)
- Game Engagement: An interactive mechanic (catching snowflakes) is implemented during card generation, adding excitement and involvement
- Emotional Design: The interface is built around the metaphor of a home holiday (a New Year tree with card garlands), creating a feeling of a cozy tradition
Result:
- Views 500+
- Visits 300+
Read more
Goal:
AI Agent-based Advertising Placement Scraping
Mechanics:
The Banner Stat system consists of three interconnected AI agents that process advertising placements step-by-step, transforming raw data from web pages into structured advertising reports necessary for:
- Monitoring advertising campaigns
- Competitor analysis
- Discovering new advertising strategies
- Analyzing the effectiveness of advertising placements
- Optimizing media planning
Result:
- Automated collection of advertising banners and associated metadata from web pages using Computer Vision (CV)
- Identification of the advertising banner type (video banner, display, RTB block, branded pages, preroll)
- Extraction of advertising attributes such as brand, product category, and advertiser from the collected data
Read more
Answers to frequently asked questions
Image processing: OpenAI Dall-E 3, AKOOL, Google Vision
Video processing: PixVerse, Google Video AI
Local LLVM: Llama, Mistral
We will provide recommendations on the necessary technical resources, including servers, software, and network infrastructure, to ensure the effective operation of AI agents.
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