AI

AI in your product, and AI in how we ship it.

AI-accelerated delivery

Modern AI tooling is part of how our developers work. Routine work moves faster while judgement stays with the developer. Every engagement benefits, not just the ones labelled "AI" — same rate, finished sooner.

We stay tool-agnostic. The "best" coding assistant shifts every few months, so we don't lock our team or your project to a single vendor. If you already standardise on a specific assistant — Copilot, Cursor, Claude Code, Gemini, JetBrains AI — we slot into yours. If you don't, we use the one that fits the job.

For sensitive code, models can run locally. When client IP, NDAs, or industry compliance rule out external AI services, we run models on your infrastructure or inside a private VPC instead of sending source to a third-party API. Source stays put; nothing trains a public model on your code.

Claude CodeCursorGitHub Copilot

AI consulting & integration

We help you decide where AI actually adds value, then build it. Typical engagements include:

  • AI strategy and roadmapping — the use cases worth pursuing, and the ones to skip
  • LLM-powered semantic search over your internal documents
  • Agent workflows that streamline and automate business processes
  • Document recognition — extracting structure from contracts, forms, and invoices
  • Model evaluation, prompt engineering, and cost/quality trade-off analysis

Stack varies by need — Azure AI Foundry, Amazon Bedrock, Gemini, open models on your own infrastructure, or a hybrid. We're vendor-neutral on purpose.

Azure AI FoundryAmazon BedrockGeminiSelf-hosted models

What we won't do

Sell you AI for the sake of AI. The most expensive AI project is the one that shouldn't have been built. If we don't see a real use case after a discovery session — usually a few hours of paid work — we'll tell you so. The hourly rate is the same as the rest of our services (75–100 €/h); there's no proprietary platform to lock you into, no upsell, and no model markup.