AI Agent Systems · Architecture · Engineering

Production agents,
built to last

We architect and deliver AI agent systems for enterprise teams — architecture-first, production-ready in weeks, with guardrails from day one.

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Technologies we work with

Claude OpenAI LangChain AWS Azure Python TypeScript JavaScript React Angular Java Docker Kubernetes Terraform Node.js GitLab CI Ansible Linux

Who this is for

Teams that need agent systems in production — not just prototypes.

🏗️

AI Engineers

Your agents work in demos but break in production. We fix the architecture so they scale.

👔

Tech Leads

Your team is shipping agents without guardrails. We design the system they build on.

🚀

Founders

You need agents live in weeks, not months. We've built the patterns — you get the shortcut.

The 4-Layer Architecture

Most agent projects fail because of missing architecture, not bad models.

🎯
Orchestration Layer
Routes requests, coordinates agents, governs outputs
 🧠
Agent Layer
Skills, memory, reasoning — Planner, Executor, Validator
 🔌
Tool Layer (MCP)
APIs, databases, external services via Model Context Protocol
 🛡️
Guardrails Layer
Constraints, validation, human-in-the-loop escalation

We open-source our architecture patterns, prompts, and decision records.

Explore on GitHub →

How We Work

From first call to production — clear phases, defined outcomes.

1️⃣
Discovery
30-minute call. We scope the problem, audit your current system, and identify where architecture is missing or breaking.
2️⃣
Design
Architecture proposal with components, data flow, cost estimates, and timeline. You approve before we build.
3️⃣
Deliver
We build, test, and deploy. You get production-ready code, documentation, and a handover session. No lock-in.

Work With Us

We design and build production AI agent systems for teams that can't afford to get the architecture wrong.

🔍 Architecture Review

Your agent system exists but isn't scaling. We audit the architecture, identify bottlenecks, and deliver a fix-it roadmap in 1–2 weeks.

⚡ Agent Build Sprint

Multi-agent pipeline from design to deployment. MCP integrations, orchestration, guardrails — production-ready in 4–8 weeks.

🔌 MCP Integration

Connect your agents to internal tools, databases, and APIs via Model Context Protocol. Custom MCP servers, tested and deployed.

🎓 Team Workshop

Half-day or full-day hands-on session. Your team learns to design, build, and ship agent systems using the 4-layer stack.

Let's build your agent system

Book a free 30-minute discovery call. No pitch — just architecture.

Book a Discovery Call → Message us on LinkedIn

Questions, answered

What clients ask before the first call.

How long does a typical engagement take?

Architecture reviews: 1–2 weeks. Build sprints: 4–8 weeks. Workshops: 1 day. We scope everything before we start — no open-ended timelines.

Do you work remotely?

Yes. We work async-first with overlap hours for calls. Based in Germany, serving EU, US, and Middle East.

What happens after delivery?

You get production-ready code, full documentation, and a handover session. No lock-in. We're available for follow-up support if needed.

Is our data safe?

We never store or train on your data. All work happens in your infrastructure or isolated environments. GDPR-compliant by default.

About

Founded by Mehtab Kayani — AI & Cloud Architecture · Former Accenture · Based in Germany

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