SS DESIGN

Systems architecture and AI integration, built for production.

An engineering studio, founded in 2011. We design and build backend systems, AI integrations and MCP architectures in .NET, Python and TypeScript. Below, in Your architecture, you can draw a plan for your own systems.

Have a system to build or AI to deploy? Schedule a call.

I

What we build

Fig. 1. The four layers we build, drawn apart.

Interface

Backend architecture

REST and GraphQL APIs, microservices, enterprise integrations, and migrations of legacy systems to modern .NET.

Logic, data

Business logic and data

Workflow and process automation, data processing and domain layer design.

AI, MCP

AI and MCP integration

Multi-tenant AI assistants, tool-calling agents, RAG pipelines and MCP orchestration. MCP is the standard way to give an AI assistant safe access to your systems.

Operations

Systems built to scale

CI/CD and deployment, observability and monitoring, security and compliance (ISO 27001, GDPR), and long-term maintainability.

II

How we work

  1. Discovery

    We map your processes, data flows and integration points.

  2. Architecture

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

  3. Implementation

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

  4. Deployment

    We deploy, monitor, document and keep developing it.

Now draw it for your own systems.

III

Your architecture

Planning aid, not a quoteNo price, no estimate

Pick what you run and what you need. The drawing, the plan and the stack follow. Pick any part in the drawing to send a request to it.

Systems

Example scenarios

Goal

Optional. Each one changes the plan.

Constraints

Services involved

    Drawn from the tools we work with. We confirm it with you in Discovery.

    Your plan is written into the brief at the end, ready to edit.

    1. Systems
    2. Goal
    3. Constraints
    4. Plan
    5. Stack
    Architecture drawing

    Drawn for your goal

    Change the systems or the goal, and the drawing is made again for you.

    IV

    Who we build for

    Software houses and startups that need solid architecture and backend infrastructure to support rapid product growth.

    Operations-driven companies that want to automate processes and bring AI into day-to-day workflows.

    SaaS products that need AI features, intelligent agents and an integration layer to compete.

    Internal IT teams looking for a specialised partner for AI, MCP and architecture projects.

    Example scenarios

    Backend and integration

    Integration system for operations

    A backend that connects operational processes with external systems: ERP integration, automated workflow and a real-time dashboard.

    .NET · Python workers · SQL + Redis · Docker

    AI and MCP

    AI assistant with enterprise tool access

    An assistant integrated with company tools, reaching documents, CRM and APIs through an MCP server and tool calling.

    MCP server · LLM · TypeScript · Vector DB

    Architecture

    Platform refactoring and scaling

    Modernising an existing platform: modularisation, observability, deployment pipelines, better performance and security.

    Microservices · CI/CD · Monitoring · Cloud

    V

    Specification

    Parts list
    Backend.NET 8 and C#, ASP.NET Core, Node.js, Python 3, FastAPI, TypeScript, gRPC, REST, GraphQL
    AI and dataOpenAI and Anthropic APIs, Azure AI Foundry, MCP (Model Context Protocol), RAG pipelines, pgvector, Qdrant, Pinecone, LangChain, LangGraph, LlamaIndex
    InfrastructureDocker, Kubernetes, GitHub Actions, Azure, AWS, GCP, Terraform, Pulumi, Azure Bicep, Prometheus, Grafana, PostgreSQL, MSSQL, MongoDB, Redis

    General notes

    1. Architecture designed for the long term

      Modular, testable and ready to extend without rewriting from scratch.

    2. Integrations that don't break after a month

      Proper error handling, monitoring and documentation from day one.

    3. AI embedded in real business processes

      Designed as part of the architecture, connected to data, tools and business logic.

    4. Security and compliance from the start

      ISO 27001 and GDPR practice, security scanning in the pipeline, and every action traceable.