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AI development from Berlin-Charlottenburg

AI Development Berlin

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.

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Berlin Cathedral with its patinated copper dome under an overcast sky, photographed from belowAI-generated image
AI-native development studioClaude · GPT · Gemini · open sourceRAG · AI agents · LLM integrationBerlin-Charlottenburg
  1. Workshop
  2. Setup
  3. Sprint
  4. Build & Support

Fixed price after scoping · proposal within 48 h

Last updated:

(01)

What does AI development in Berlin mean?

AI service

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.

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

AI agency BerlinAI software developmentAI app developmentAI development

(02)

Which AI development services do we offer in Berlin?

Production-ready AI from Berlin-Charlottenburg

(01)

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.

(02)

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.

(03)

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.

(04)

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.

(05)

API-first integration

REST and GraphQL interfaces connect your AI to SAP, Salesforce, HubSpot or Microsoft 365, via webhooks, n8n or custom connectors.

(06)

Performance monitoring

With Sentry, PostHog, Grafana and LangSmith we continuously monitor token usage, latency and answer quality of your AI systems.

(03)

How does an AI project with Context Studios work?

  1. (01)

    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.

    Step 1
  2. (02)

    Proposal & planning

    A detailed feature breakdown, a technical architecture plan and a written proposal covering scope, schedule and a fixed price.

    Step 2
  3. (03)

    AI-accelerated development

    Agile development with weekly demos and production-ready code backed by automated tests. Goal: a working MVP in about 4 weeks.

    Step 3
  4. (04)

    Launch & operation

    Production deployment with complete documentation and handover. 30 days of free bug fixing from final delivery; maintenance and further development by agreement.

    Step 4

Frequently asked questions about AI development in Berlin

(01)How much does AI development in Berlin cost?
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.
(02)Which programming languages does Context Studios use?
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.
(03)Can I hand over an existing AI project for completion?
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.
(04)How do you ensure the quality of an AI system?
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.
(05)Does Context Studios also work with open-source models?
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.
(06)How does collaboration work during the project?
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.
(07)Does Context Studios offer AI consulting without development?
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.
(08)Which cloud providers do you support?
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.
(09)How quickly can a project start?
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.
(10)What happens after go-live?
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.
(04)

Which technology stack do we build with?

(01)

AI & ML

Anthropic ClaudeOpenAI GPTGoogle GeminiOpen-source LLMs (Llama, Qwen, DeepSeek, Mistral)RAG & vector databases (pgvector, Pinecone, Weaviate)MCP (Model Context Protocol)Hugging Face Transformers
(02)

Web & Mobile

Next.js & ReactTypeScriptReact Native & ExpoTailwind CSSshadcn/uiVercel Edge Runtime
(03)

Backend & Data

Node.js & HonoPythonPostgreSQL & SupabaseConvex (Real-Time DB)RedistRPC & GraphQLOpenAPI
(04)

DevOps & Infrastructure

Vercel & AWSDocker & KubernetesCI/CD (GitHub Actions)OpenTelemetry & GrafanaLangfuse (LLM Monitoring)
(05)

AI development for Berlin industries

FinTech & neobanks

Credit scoring models, fraud detection and automated compliance checks for Berlin's financial sector, from neobanks to established institutions.

HealthTech & medicine

Analysis of clinical data, drafts of medical letters and decision support, developed in line with MDR and GDPR requirements.

E-commerce & marketplaces

Semantic product search, personalised recommendations and automated product descriptions for online retailers and marketplace operators.

SaaS & software

AI features for existing SaaS products: smart search, automated workflows, chat assistants and predictive analytics.

Energy & CleanTech

Predictive maintenance of energy assets, intelligent grid control and CO2 optimisation with machine learning.

Media & publishing

Automated content creation, intelligent media archives, translation systems and personalised content recommendations.

(06)

AI development in Berlin: example projects

Examples we can build for you

SaaS

Knowledge assistant for a Berlin software company

A RAG system answers support and developer questions from documentation, tickets and code comments and cites its sources.

Source-based answers · Connected to ticketing · Goal: faster onboarding
Services

AI agent for proposal preparation

An agent gathers customer data from the CRM, checks requirements and drafts a proposal that the team only has to approve.

CRM integration · Human approval · Goal: less routine work
E-commerce

Semantic search for an online retailer

A vector search understands natural-language queries and finds suitable products even without exact terms.

Vector search · Multilingual · A/B tested
(07)

AI development in Berlin: meet in person or by video call

Founder AI-native since
2024
Email
info [at] contextstudios [dot] ai

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.