Connecting AI, data and processes into systems that work
AI agents, automation, CRM, internal systems and web applications — from a focused task or MVP to a complete digital solution.
What path does your task need?
Not every project needs complex development. Answer two short questions — we’ll show one possible path from the task to a working solution.
Where do we start?
What do you want to make?
Where are you now?
This determines the best step to start with.
Tools change. Architecture should solve the problem
We don't force projects into a fashionable stack upfront. Models, services and infrastructure are selected around the data, processes, budget and deployment requirements.
The stack follows the problem — not the other way around.
Engineering systems for real business challenges
From a focused MVP or single automation to an internal system that connects processes, data, and teams.
View services →AI Agents
Agents that work with data, documents, and business logic: they analyze, retrieve information, prepare materials, and execute multi-step workflows.
CRM & Internal Systems
Tools for sales, customers, tasks, and internal processes — built around your specific business logic without unnecessary features.
Web Apps & Sites
New digital products and modernization of existing websites: from presentation resources to full-scale web services.
Integrations & Automation
We connect APIs, services, databases, and internal systems so information flows seamlessly without manual work.
Systems you can see in action
Proprietary developments and applied solutions — from working with corporate knowledge and documents to specialized AI applications.
View projects →
Technology evolves. Great systems start with understanding the problem
Before modern AI tools, there was business analysis, enterprise systems implementation, and real process automation. Today, this experience merges with AI, data, and modern web development.
Dmitry Kharlanov
I design solutions and oversee project architecture. When a task requires additional expertise, I bring in specialized professionals and manage the work as a unified system.
Business analysis & Information systems
Bachelor's and Master's degrees at ITMO University. The foundation—process analysis, requirements, and information systems design.
Business & Production automation
Implementation and adaptation of enterprise systems: management and financial accounting, production, payroll, ERP processes, and 1C.
Data & Integrations
Connecting external sources, suppliers, and internal systems: data collection and normalization, exchange automation, and business process integration.
AI · Automation · Digital Systems
AI agents, RAG, internal systems, automation, and web applications—with the same principle: technology must solve a specific business problem.
Manufacturing group
End-to-end automation of a manufacturing group: from requirements analysis and development to implementation and operation. Including production processes and barcoding.
Electronic components
Data collection system from international electronic component suppliers: assortment, availability, and pricing unified for further processing within the accounting system.
Petrochemical projects
Adaptation of enterprise systems and integration processes for petrochemical enterprises, including management and international financial reporting standards (IFRS).
Before starting a project, it helps to clarify the essentials
You don't need a finished technical specification to start. Often, describing the problem, the current process, or what isn't working is enough.
Let's start with the task?
You don't need a finished technical specification. Describe what you want to build, automate or improve — we'll review the task and define a practical first step.
A project can start with a small task or MVP.