--- type: "LandingPage" title: "AI Development Berlin: Agents, RAG and LLMs" description: "AI development in Berlin: AI agents, RAG systems and LLM integration from Berlin-Charlottenburg, production-ready, GDPR-compliant, directly with the founder." resource: "https://www.contextstudios.ai/ai-development-berlin" language: "en" tags: ["AI development Berlin", "AI company Berlin", "AI developers Berlin", "artificial intelligence Berlin", "AI services Berlin", "machine learning Berlin", "AI solutions Berlin", "AI partner Berlin", "AI software Berlin", "LLM development Berlin"] generated: by: "process:contextstudios-md/1" at: "2026-10-08T19:50:14.413Z" status: "stable" --- # AI Development Berlin: Agents, RAG and LLMs For AI development in Berlin, you work with Context Studios, an AI-native development studio in Berlin-Charlottenburg. We build AI agents, RAG systems and LLM integrations with Claude, GPT and open-source models: production-ready, GDPR-compliant and in direct contact with founder Michael Kerkhoff, by video call or in person. AI development in Berlin means the technical implementation of AI applications by a local team, from prototype to production system. At Context Studios this covers architecture, model selection, data integration, API development, testing and operation, with personal coordination in Berlin-Charlottenburg. Entity: AI Development Berlin Location: Kaiser-Friedrich-Str. 6, 10585 Berlin-Charlottenburg Specialisation: AI agents, RAG, LLM integration, API development Technologies: Python, TypeScript, LangGraph, Pinecone, Convex, Docker Target group: Startups and companies with a concrete need for AI Project duration: MVP typically 4–8 weeks, enterprise projects up to 6 months Compliance: GDPR, EU AI Act ## Which AI development services do we offer in Berlin? Production-ready AI from Berlin-Charlottenburg ### Production-ready AI development We deliver code for operation, not just demos: TypeScript, automated tests with Playwright and clean architecture, Next.js and React applications with Claude and GPT in enterprise quality. ### Model-agnostic architecture Abstraction layers for Claude, GPT, Gemini and Llama allow you to switch models without a rebuild. That way you always use the model with the best balance of quality, cost and data protection. ### Scalable data architecture Pinecone and Weaviate as vector databases, Convex for real-time data, plus PostgreSQL and Redis for structured data and caching, matched to your data volume. ### Security first (GDPR, EU AI Act) GDPR compliance, EU AI Act requirements, protection against prompt injection, guardrails and encrypted data storage are part of the architecture from the start. ### API-first integration REST and GraphQL interfaces connect your AI to SAP, Salesforce, HubSpot or Microsoft 365, via webhooks, n8n or custom connectors. ### Performance monitoring With Sentry, PostHog, Grafana and LangSmith we continuously monitor token usage, latency and answer quality of your AI systems. ## How does an AI project with Context Studios work? ### Initial call A free 30-minute video call with Michael Kerkhoff. We get to know your project, assess where AI adds value and give you a first estimate of feasibility, effort and timeframe. ### Proposal & planning A detailed feature breakdown, a technical architecture plan and a written proposal covering scope, schedule and a fixed price. ### AI-accelerated development Agile development with weekly demos and production-ready code backed by automated tests. Goal: a working MVP in about 4 weeks. ### Launch & operation Production deployment with complete documentation and handover. 30 days of free bug fixing from final delivery; maintenance and further development by agreement. ## Frequently asked questions about AI development in Berlin Q: How much does AI development in Berlin cost? A: Costs depend on scope, your data and the integration effort. To get started, we offer workshops at fixed prices: Light Discovery (half a day, €1,500), Strategy Day (€2,500) and Prototyping Sprint (2 days, €4,500). For development projects: fixed price after scoping, proposal within 48 hours. Q: Which programming languages does Context Studios use? A: Our main languages are Python for AI and ML backends and TypeScript for full-stack applications with Next.js and React. Depending on the project, we also use Go for microservices or Rust for performance-critical components. What matters is that your team can develop the code further later on. Q: Can I hand over an existing AI project for completion? A: Yes, we also take over ongoing AI projects. After a code review and an architecture audit, we draw up a completion plan with clear priorities. Existing code can often be optimised rather than rewritten, which saves time and budget and preserves the knowledge already built up. Q: How do you ensure the quality of an AI system? A: Through automated tests at every level: unit tests for the logic, integration tests for APIs, evaluation pipelines for the quality of model answers and load tests for performance. Every feature is checked in a staging environment before it goes live and is monitored in operation. Q: Does Context Studios also work with open-source models? A: Yes. We use Llama, Mistral, Qwen and other open-source models when data protection, cost or latency require it. Self-hosting on your own infrastructure or with a European provider is possible, which makes particular sense for sensitive data in regulated industries. Q: How does collaboration work during the project? A: We work in short sprints with a fixed rhythm: planning, asynchronous coordination, weekly demos and reviews. You have access to the project board, Git repository and staging environment at all times. Meetings are possible by video call or at our studio in Berlin-Charlottenburg, whichever suits you. Q: Does Context Studios offer AI consulting without development? A: Yes. We offer AI strategy workshops, feasibility studies, architecture reviews and support with technology selection. Many clients start with consulting or a workshop and then decide whether, and to what extent, to commission implementation, with no obligation to go on to development. Q: Which cloud providers do you support? A: We deploy on AWS, Google Cloud, Azure, Vercel and Cloudflare as well as with European providers. The choice depends on your existing systems, compliance requirements and budget. Multi-cloud and on-premise setups are also possible, for example when data must not leave your data centre. Q: How quickly can a project start? A: We can usually start a few weeks after the order is placed; we state the concrete date in the proposal. For urgent projects, an earlier start is often possible, so just ask. The free 30-minute initial call can usually be scheduled within a few days. Q: What happens after go-live? A: 30 days of free bug fixing apply from final delivery. If you wish, we then take over monitoring of AI quality, model updates, bug fixing and further development. We agree the scope and terms of maintenance and further development individually with you. ## Start AI development in Berlin Discuss your AI project in a free 30-minute call: we analyse your requirements and give you a concrete assessment. ## Which technology stack do we build with? ## AI development for Berlin industries ## AI development in Berlin: example projects Examples we can build for you ## AI development in Berlin: meet in person or by video call