Your Data.|

You don't need perfect data or a dedicated IT team to start. Most businesses have areas where AI can create value today. We typically start with a short discovery conversation to evaluate:

• Which workflows have the most manual, repetitive work
• What data you already have (and what's missing)
• Your team's comfort level with new tools

From there, we recommend a practical starting point — usually a focused pilot that delivers value quickly.

We take a privacy-by-design approach to every project:

• Self-hosted and on-prem deployment options — your data stays in your infrastructure
• EU-hosted cloud alternatives when on-prem isn't practical
• We build with GDPR, EU AI Act, and BDSG awareness — data minimisation, consent patterns, and audit trails are defaults
• Human-in-the-loop controls for AI-assisted decisions

We're engineers, not lawyers — so we build technically sound, privacy-first systems and recommend you involve legal counsel for formal compliance certification.

That's the whole point. We build to hand over, not to create dependency:

• Every project includes documentation and runbooks
• We train your team during and after implementation
• Solutions are built on open-source tools your team can learn and extend
• We're available for ongoing support if you need it — but you don't have to

It depends on scope, but most engagements follow a fast, focused timeline:

• Training workshops: 1–2 days, delivered on-site or remote
• Proof of Concept: 2–4 weeks from kickoff to a working prototype
• Full automation project: 4–8 weeks including handover and documentation

We scope tightly on purpose — you see results quickly rather than waiting months for a big reveal.

We favour open-source, self-hostable tools so you stay in control:

• AI inference: Ollama, vLLM, KServe — running models locally or on EU-hosted infrastructure
• Workflow automation: n8n for connecting your existing tools with AI-powered steps
• RAG & knowledge systems: LightRAG, vector databases, and document pipelines
• Infrastructure: Docker, Kubernetes, Linux — standard, portable, no vendor lock-in

When cloud AI makes more sense (Copilot, Claude, ChatGPT for Business), we help you integrate it with proper data boundaries and API usage controls.

Yes. Our primary focus is the German and European market, but we work with any business that values data sovereignty and privacy-first AI. Training workshops can be delivered remotely, and automation projects are typically managed through a mix of on-site kickoffs and remote implementation. We work in English and German.

Every project is different, so we don't list fixed prices. As a rough guide:

• Training workshops: Fixed day rate, typically for groups of 5–15 people
• Proof of Concept: Fixed-price sprint scoped during the discovery call
• AI Engineer on Demand: Flexible monthly retainer based on hours needed

We agree on scope and price before any work begins — no surprises, no runaway budgets. The best way to get a concrete number is to .book a free discovery call.

Almost certainly. We build around what you already use, not against it:

• n8n connects to 400+ applications out of the box — ERP systems, CRMs, email, spreadsheets, databases, and more
• AI models can be plugged into your existing workflows without replacing your current stack
• We use standard APIs and file formats, so nothing we build locks you into proprietary tooling

During the discovery call we map out your current tool landscape to make sure everything integrates cleanly.

In short: less overhead, more direct access, faster results.

• No 6-month discovery phases. We scope tightly and start building within weeks
• You talk to the engineers. No project managers relaying messages — the people building your solution are the people in the room
• Built for SMB budgets. We deliver focused, high-value projects instead of sprawling enterprise programmes
• Independence by design. We hand over everything — code, documentation, know-how. You don't need us to keep the lights on