Engineering Tomorrow, Powered by AI
We build AI agents, agentic workflows, and custom MCP servers. We engineer web and desktop apps — automate testing and DevOps — and train your team to do it all with AI.
Everything you need to ship great software
From AI agents and MCP servers to full-stack apps and automated QA — we build, automate, and teach the full spectrum of modern software engineering.
AI Agents
Design and deploy autonomous AI agents that reason, plan, and act — handling complex multi-step workflows, decisions, and business processes at scale.
Agentic Workflow Automation
Orchestrate multi-agent pipelines and intelligent automation flows that replace manual processes — from document handling to cross-system task execution.
Custom MCP Servers & Clients
Build Model Context Protocol servers and clients that give Claude and other LLMs direct access to your tools, APIs, databases, and internal systems.
Web & Desktop Apps
Full-stack web applications with Next.js, React, and TypeScript — plus lightweight desktop apps with Tauri. From SaaS platforms to internal tooling.
QA & Test Automation
Comprehensive automated test suites with Cypress, Playwright, Vitest, and AI-assisted test generation. Unit, integration, and E2E — zero regressions.
DevOps & Task Automation
CI/CD pipelines, containerisation, cloud infrastructure (AWS, GCP), and scripted task automation — keeping your systems fast, reliable, and self-maintaining.
Claude Code Extensions
Custom skills, plugins, slash commands, and hooks that extend Claude Code for your team — including internal plugin marketplaces so your org can discover, share, and manage Claude Code extensions at scale.
Training & Workshops
Hands-on training for engineering teams — AI agents, Claude Code, MCP servers, agentic workflows, test automation, and DevOps. Online and on-site.
Training for your team?
We run hands-on corporate workshops on AI agents, Claude Code, MCP servers, and agentic workflows — tailored to your team's stack and goals.
Get in touchPrecision engineering, amplified by AI
We combine deep software engineering expertise with cutting-edge AI to deliver solutions that other agencies simply can't match.
AI-First Engineering
We embed AI into every layer — code generation, testing, deployment, monitoring. Our teams leverage LLMs and agents to deliver faster without sacrificing quality.
Test-Driven Development
We write tests before we write code. Every feature ships with comprehensive unit, integration, and end-to-end test coverage — no exceptions.
Scalable Architecture
Clean, modular architecture patterns — microservices, event-driven systems, and well-defined APIs — so your software grows gracefully with demand.
Automation Expertise
From CI/CD pipelines to AI workflow orchestration, we automate the repetitive so your team stays focused on what only humans can do.
Modern Technologies
We stay ahead of the curve — adopting Next.js, FastAPI, Go, Tauri, and the latest AI tooling so your product is built on a foundation that lasts.
Reliability & Trust
Transparent communication, clear timelines, and a commitment to quality mean no surprises. We build partnerships, not just projects.
Built with best-in-class tools
We choose the right technology for every job — battle-tested stacks with a bias toward performance and developer experience.
Insights from the engineering lab
Building Claude Code Extensions: Skills, Plugins, and Internal Marketplaces
Claude Code is extensible at every layer — custom slash commands, MCP servers, hooks, and full plugin systems. Here's how to build extensions your whole team can discover and use.
Testing AI Agents: A Practical Strategy for Reliable Agentic Systems
Unit tests don't cut it for agents that reason dynamically and call external tools. Here's the testing strategy we use to ship agentic systems with confidence — from evals to integration harnesses.
Agentic Workflow Patterns: Orchestrating AI Agents at Scale
Single-agent loops break down in complex systems. Here are the orchestration patterns — chains, fan-out, human-in-the-loop, and more — that make multi-agent pipelines reliable in production.
Building an MCP Server in TypeScript: A Complete Guide
The Model Context Protocol (MCP) lets you give Claude and other LLMs access to custom tools, data sources, and APIs. Here's how to build, test, and deploy your own MCP server from scratch.
Let's build something remarkable
Tell us about your project and we'll reach out within 24 hours to explore how we can help.
What happens next?
- 1We review your message and requirements
- 2Schedule a 30-min discovery call
- 3Receive a tailored proposal within 48 hours