System Design / AI Integration

Systems architecture.
AI integrations.
Ready to deploy.

We design and build modern systems in .NET, Python, and TypeScript — from backend architecture and business logic to AI integrations, MCP, and process automation.

.NET / C# Python TypeScript MCP-Ready AI Integrations Enterprise-Grade
🖥️
Client App
React / Next.js
API Gateway
ASP.NET Core
🧠
AI Agent
LLM + Context
←→
⚙️
Business Logic
Domain Layer
🔌
MCP Server
Tool Orchestration
🗄️
Database
SQL / Vector
←→
🔗
Integrations
CRM / ERP / API
.NET / C# Backend
Python Automation
TypeScript Systems
MCP Architecture
AI Workflow Integration
Enterprise Deployment

What we can build
for your business

01

Backend Architecture

REST & GraphQL APIs Microservices Internal systems Enterprise integrations
02

Business Logic & Data

Workflow automation Data processing Process automation Domain layer design
03

AI + MCP Integration

AI assistants & copilots Tool calling agents Agent workflows MCP orchestration
04

Systems Built to Scale

CI/CD & deployment Observability & monitoring Security & compliance Long-term maintainability

How we work

01

Discovery

We map your processes, data flows, and integration points.

02

Architecture

We design a stable solution model with clear separation of concerns.

03

Implementation

We build the backend, integrations, AI layer, and automations.

04

Deployment

Deploy, monitoring, documentation and continued development.

MCP & AI Hub for modern systems

We integrate AI models with tools, databases, and business processes — using an architecture built for automation and extensibility.

  • Tool execution & function calling
  • Workflow orchestration
  • AI copilots and assistants
  • Retrieval & data access (RAG)
  • Secure system integration
  • Multi-agent pipelines
User / Application Request & Context
AI Agent LLM + Reasoning Layer
MCP Server Tool Orchestration
CRM / ERP Business Systems
DB / APIs Data Layer
Structured Output Action / Result / Report

Who we build for

🚀

Software House / Startup

Needs solid architecture and backend infrastructure to support rapid product growth and scaling.

🏭

Operations-Driven Company

Wants to automate processes and integrate AI into day-to-day organizational workflows.

📦

SaaS Product

Needs AI features, intelligent agents, and an integration layer to compete in the modern market.

🔧

Internal IT Team

Looking for a specialized partner for AI, MCP, and architecture implementation projects.

Example implementation scenarios

Backend / Integration

Integration system for operations

A comprehensive backend connecting operational processes with external systems — ERP integrations, automated workflow, and real-time dashboard.

.NET Core Python Workers SQL + Redis Docker
Discuss this scenario →
AI / MCP

AI assistant with enterprise tool access

An intelligent assistant integrated with company tools — accessing documents, CRM, and APIs via MCP architecture and tool calling.

MCP Server OpenAI / LLM TypeScript Vector DB
Discuss this scenario →
Architecture

Platform refactoring & scaling

Modernizing an existing platform — modularization, observability, deployment pipelines, improved performance and security for production.

Microservices CI/CD Monitoring Cloud
Discuss this scenario →

Technologies we work with

Backend
.NET 8 / C#
ASP.NET Core
Node.js
Python 3.x
TypeScript
gRPC / REST / GraphQL
AI / Data
OpenAI / Anthropic APIs
MCP (Model Context Protocol)
Vector Search (pgvector, Qdrant)
RAG Pipelines
LangChain / LlamaIndex
Agent Frameworks
Infra / Delivery
Docker & Kubernetes
GitHub Actions / CI/CD
Azure / AWS / GCP
Prometheus / Grafana
PostgreSQL / Redis / MSSQL
Terraform / IaC

We build systems that can be developed, maintained, and scaled.

We're not a web agency. We're a team of engineers specializing in systems architecture, AI integration, and building software that works in real production environments — not just in demos.

01

Architecture designed for the long term

We design systems that are resilient to change — modular, testable, and ready to extend without rewriting from scratch.

02

Integrations that don't break after a month

We take system integrations seriously — with proper error handling, monitoring, and documentation from day one.

03

AI embedded in real business processes

We don't bolt AI on as a feature. We design it as part of the architecture — connected to data, tools, and business logic.

Have a system to build
or AI to deploy?

If you want to connect your backend, data, and intelligent workflows into one cohesive solution — let's talk.