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Your roadmap won't wait — your engineering capacity shouldn't either.

Nearshore teams that understand your code, review it with AI, and ship in weeks. Not body leasing — engineering with outcomes.

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16+
Enterprise references
45.000+
active endpoints (live)
2–4
weeks to productive
150+
engineers

The real problem

Senior profiles stay unfilled in DACH for months — but your platform needs to scale now, not in Q3. At the same time, pressure mounts to integrate AI capabilities into existing products before competitors do. The question isn't whether nearshore, but with whom. Most nearshore providers deliver profiles. We deliver engineering: teams that read your architecture, know your tech stack and work in your sprints from day one. With a German GmbH as your contract partner, not a middleman.

AI-augmented engineering as standard

Every pull request goes through two reviews: AI first, then human. Our teams work with AI-powered code assistance, automated test generation and intelligent code review — not as an experiment, but as daily practice. The result: higher code quality, fewer production bugs, faster cycle times. Where it fits, we build AI directly into the product: RAG-based search systems, LLM-powered automations or generative-AI platforms. This is not a future promise — we have shipped these systems to production for enterprise clients.

In production, not in presentations

Our teams have built platforms that run in production today: a B2B ordering platform serving 45,000+ active endpoints with real-time pricing. A last-mile system coordinating 20,000+ couriers across zones, shifts and automated billing. An AI insight platform that reduced weeks of reporting to seconds. Multi-tenant architectures across 6 industries. 16 enterprise references — not screenshots, but live systems with real users.

Tech stacks & profiles

Full-stack, backend, frontend, mobile and DevOps — at senior level. Java, Kotlin, .NET/C#, TypeScript/Node.js, Python, Go, React, Angular, Vue, React Native, Flutter. Plus ML engineering profiles for PyTorch, TensorFlow and LLM integration. We don't match generically by skill keywords, but by engineering fit: architecture understanding, process maturity and team dynamics. Your stack, your standards, your tools — our capacity.

Quality you can measure

Your coding standards, your branching strategy, your CI/CD — we adopt them 1:1. On top, we add AI-assisted code reviews, automated test pipelines and static analysis. A technical lead on our side ensures architecture coherence and speaks German. This isn't review theatre — you see every line in your repository, every metric in your dashboard.

One contract. One GmbH. No detours.

Klarnode GmbH is your contract partner — a German GmbH with DPA under Art. 28 GDPR. Daily stand-ups in real time, max. 1 hour time difference. Dedicated teams that know your product — no profile rotation, no body leasing. If a team member drops out, we replace proactively — not only after a complaint.

Delivered by our nearshore delivery partner

Benefits

AI-assisted code reviews as standard
16+ delivered enterprise references
Productive in 2–4 weeks, not months
German GmbH as single contract partner
GDPR-compliant, exclusively EU locations
1:1 integration into your sprints, tools and repos
GDPR-compliant DPA under Art. 28 · EU locations · German GmbH
Zero Trust
NDA & IP

Frequently asked

How do you use AI in the development process? +

Our developers work with AI-powered code assistance, automated test generation and intelligent code review. This accelerates the development cycle and improves code quality. Beyond that, we build AI features directly into the product — from RAG systems to LLM automations — when it makes business and technical sense.

What sets Klarnode apart from other nearshore providers? +

Three things: First, we are not a body-leasing provider but an engineering partner — with technical leads who take architecture ownership. Second, our teams work AI-augmented and can build AI features directly into the product. Third, you have a German contract with a GmbH, not with an offshore subcontractor.

Which programming languages do you cover? +

Java, Kotlin, .NET/C#, TypeScript, Node.js, Python, Go, React, Angular, Vue, React Native, Flutter — and more on request. Plus ML profiles for PyTorch, TensorFlow and LLM integration. All profiles are senior-level and matched by engineering fit, not keywords.

How do you ensure code quality? +

Every pull request is analyzed with AI tools and then reviewed by a senior engineer. Automated test pipelines, your coding standards and a technical lead on our side complete the process. This approach has been proven in production across 16+ reference projects.

Can the teams work in our repositories? +

Yes — your repos, your CI/CD pipeline, your tools. The teams integrate fully into your existing infrastructure: GitHub, GitLab, Azure DevOps, Jira, Confluence, Slack, Teams.

How fast can we start? +

Usually 2–4 weeks from first call to productive sprint. For urgent needs, individual profiles can be provided faster.

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