AI integration and neural networks for business

Directions and scenarios

Focused landing pages by task: sales, RAG, analytics, messengers, marketplaces, and multi-agent systems. Each has cases, FAQ, and price ranges.

• AI agents for sales and CRM

  Lead qualification, 24/7 answers, write-back to amoCRM/Bitrix24. Start on ChatNeuron or a custom agent for your process.

  Sales scenario

• RAG and a corporate knowledge base

  Answers only from your documents, policies, and FAQ. Sources in the answer, knowledge-base updates, role-based access.

  RAG scenario

• AI analytics for the sales team

  Review of 100% of calls and chats, manager scoring, lead temperature — without changing the PBX. The CommBoost product.

  Analytics scenario

• AI for marketplaces and content

  Card generation, infographics, publishing automation. From a Telegram bot to web SaaS — FAVORIT / PinMaster experience.

  Content scenario

• AI agents in messengers

  VK, Telegram, WhatsApp: order, booking, support. Not “leave a number,” but a dialog through to a result — as with MONSUROVICH.

  Messenger scenario

• Multi-agent AI systems

  Agent chains: parse a document → calculate → check. Costbl and SportsAge experience — hard jobs are not one prompt.

  Multi-agent scenario

Also: On-Premise AI · AI video analytics

Our services

We create AI solutions for businesses of various levels - from individual tools to products where artificial intelligence is built into the architecture: platforms, websites, chat bots and AI agents in business processes. Focus - automation, reduction of manual labor, control, analytics and data processing with measurable results.

• Development and training of neural network models

  We design the architecture, select algorithms, prepare data, train and test models - with an emphasis on accuracy, stability and implementation in production.

  Competencies: corporate AI agents and assistants · OCR and document recognition · RAG on the knowledge base · LLM for queries and generation · custom models for the task.

• Machine vision and video analytics

  Systems that recognize objects and events work in real time and interface with your IT systems - from quality control to process monitoring.

  Competencies: quality control and marking · recognition of faces and actions · monitoring of equipment and vehicles · counting and analytics of video stream.

• Analytics and forecasting

  Services that collect data from different sources find patterns and make predictions for decisions based on facts rather than intuition.

  Competencies: predictive analytics · demand and load forecast · anomaly detection · scenario modeling · equipment failure and wear.

• Dedicated development team

  We strengthen your teams with specialists or entire project groups: Data Scientists, ML/MLOps, engineers, analysts, developers, QA, design and PM.

  The team is integrated into your processes: transparent management, flexible scaling and clear reporting.

• MLOps

  We automate the path of the model: data → training → deployment → monitoring. We set up pipelines, environments and support so that the ML system is easy to implement and scale.

  The output is a stable and secure ML circuit, not a one-time Jupyter laptop.

• Data markup

  We mark up images, texts, audio and video, check the quality and provide structured datasets for training and testing models.

  Multi-level quality control - accuracy and consistency of markup for your ML pipeline.