Context Studios AI capabilities
Every capability links to a dedicated page with use cases, tech stack, and pricing ranges. Updated for 2026.
What to expect from Context Studios' AI capabilities
Context Studios is an AI-native development studio based at Kaiser-Friedrich-Strasse 6 in Berlin-Charlottenburg. We combine AI consulting, software engineering, and the operational runbook for agentic systems. The portfolio you see here is not a marketing grid — it is a map of the disciplines in which we actively ship production code. Our capabilities rest on four pillars: first, the orchestration of AI agents using LangGraph from LangChain, the OpenAI Agents SDK, and our own OpenClaw framework. Second, the integration of external tools via the Model Context Protocol (MCP) from Anthropic — our production server exposes 243 tools across 21 categories, ranging from research to blog management to finance operations. Third, product development with Next.js 16, TypeScript, and Convex as a realtime backend. Fourth, model selection and tuning-free prompting with Claude Opus, GPT-4, Gemini, and open-source models from Mistral or DeepSeek. For CTOs and tech leads this breadth means one thing: you engage a technology partner that delivers not only prototypes but also the operational responsibility for RAG pipelines, vector stores, and MCP integrations. Our MVP Sprint at a fixed fee of 18,000 euros bundles four weeks of engineering time and ends with a deployed product — not a deck, not a Figma file.
How our capability areas connect
We do not treat capabilities as silos but as a composable assembly line. A typical engagement combines several disciplines in practice: a B2B SaaS vendor from Munich commissions us with a voice agent for their customer hotline. Behind that hotline sit three capability fields from our catalogue — speech-to-text (Whisper or Deepgram), LLM-backed classification (Claude Sonnet 4), and workflow automation via LangGraph. The same client later books a RAG integration for internal documentation that draws on our expertise in embedding design (OpenAI text-embedding-3-large, Cohere Rerank) and vector database selection (Pinecone, Weaviate, pgvector). For dev teams working with us this means you do not pick an isolated skill but inherit a coherent system. Every delivered component is documented in an internal knowledge base called Cortex — our memory layer — so that later extensions remain consistent. The stack is intentionally reduced to a small set of robust building blocks: Next.js 16 with the App Router, Convex instead of classic Postgres-plus-API layers, Clerk for authentication, Vercel for deployment. That selection ships our projects five to ten times faster than legacy agencies relying on sprawling microservice architectures.
How to choose the right capability
If you are not sure which capability fits your project, orient yourself around three questions. First: does your initiative require an active actor that makes decisions and operates tools? Then look at AI agent development or multi-agent orchestration. Second: should an LLM cite your own documents or databases? Then your path runs through RAG systems, embedding pipelines, and semantic search. Third: do you want your software to be usable from other AI tools — Claude Desktop, ChatGPT, Cursor? That is the domain of MCP servers and tool interfaces. For decision makers on a tight budget we recommend starting with an MVP Sprint (18,000 euros, four weeks) in which we deliver one of these capabilities in a focused way. For larger programmes we chain several fields into a quarterly engagement. Each capability page ships with case examples, reference architectures, and a price range — click through, or book a discovery call directly.
84 capabilities found
Tier 1 — Core services
What we ship every week: the four-week MVP Sprint at a fixed price, custom software development, AI agent development on LangGraph and the OpenAI Agents SDK, RAG systems, and LLM integration across Claude, GPT, and Gemini.
Technology Solutions
Specialized technology stacks and frameworks.
Industry Solutions
AI solutions tailored to specific industries and use cases.
Location Services
Local AI development and consulting services.
Decision Support
Resources to help you make informed AI investment decisions.