We build enterprise-grade AI software and data systems — without enterprise overhead

More efficiency and lower cost with proper trained AI & automations

AI solutions don't just automate tasks — in 2026 they perform cognitive work just as well as human workers, and in some cases, even better. They are available 24/7, think and adapt independently, and are equipped with advanced intelligent technologies that transform the way we work.

We have experience working with various industries and diverse tasks:

• AI assistant for law firm employees An internal web application for a law firm designed to improve employee productivity. It is based on AI agent technology with LLM (Large Language Model) support and a voice interface.

  • The application assists lawyers with their daily tasks:

    • quickly generate legal documents and templates;
    • search and analyze legal norms, case law, and internal knowledge bases;
    • voice interaction with the AI assistant for clarifying information, setting tasks, and generating reports;
    • secure work with corporate data within a closed system.

    The tool is designed to reduce routine operations, accelerate the preparation of legal materials, and support employees in prompt consultations and analyzing legal issues.

• Chatbot for a whale furniture retailer A smart chatbot designed to help customers choose furniture. It answers product questions, selects suitable models based on style, size, and budget, and helps place orders and track delivery. The bot is available 24/7, simplifying the purchasing process and making communication with the store quick and convenient.

  • Key features:

    • fast and accurate answers to product catalog questions;
    • personalized recommendations of suitable models considering customer preferences;
    • supports order placement directly in chat with ability to clarify details.
• Machine learning model for predicting patient attrition in a medical center An intelligent model that uses machine learning methods to predict the likelihood of patient attrition. The algorithm analyzes key behavioral factors, visit histories, and interactions to proactively identify patients at high risk of attrition.

  • Key features:

    • analysis of historical data on patient visits and interactions with the medical center;
    • use of advanced machine learning methods for accurate attrition probability prediction;
    • automated processing of large data arrays to improve center efficiency;
    • identification of high-risk patients for timely intervention.

    Thanks to the implementation of the model, the company was able to reduce customer churn, improve service quality, and take timely measures to retain patients.

• AI agent for sales managers support An intelligent agent designed to automate the handling of inbound leads. It monitors unprocessed leads, reaches out to clients, clarifies details, and schedules call times with sales managers. The agent leverages artificial intelligence and voice interaction, enabling it to conduct natural conversations, increase response speed to inquiries, and reduce the loss of potential customers.

  • Key features:

    • automatic monitoring and processing of incoming applications and leads;
    • clarification of details with clients to improve lead quality;
    • independent scheduling of call time with manager for customer convenience;
    • integration with CRM system for automatic information and lead status updates.

    As a result, the use of the AI agent helps increase conversion, optimize manager workload, and improve service quality.

We'd be happy to share more case studies, references, and detailed project descriptions upon your request.

Backed by deep expertise in mature, secure and scalable tools

You can order custom AI solution development tailored to your needs

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