---
type: Landing Page
title: LLM Development
description: "LLM development from Context Studios Berlin. Claude, GPT-5.2, and Gemini 3 integration for your business. ✓ Fixed Prices ✓ AI-Native ✓ GDPR. Professional llm development from Context Studios Berlin."
resource: "https://www.contextstudios.ai/llm-development"
language: en
timestamp: "2026-06-13T08:43:17.388Z"
---

# LLM Development

Professional LLM development from Context Studios. We integrate Claude Sonnet 4.6/Opus 4.6, GPT-5.3, Gemini 3, and open-source models into your business processes — custom-built and production-ready.

LLM Development — Context Studios offers professional LLM development for enterprises. The team integrates leading language models like Claude Sonnet 4.6/Opus 4.6, GPT-5.3, Gemini 3, Llama 4, and Mistral Large into custom applications as part of llm development. From prompt engineering to RAG systems to fine-tuning — all projects are delivered at fixed prices from 18,000 euros.

Entity: LLM Development

Frameworks: Convex, Hugging Face

Models: Claude, GPT-5.3, Gemini 3, Llama 4, Mistral Large

Pricing: Fixed prices from 18,000 euros

Provider: Context Studios, Berlin

## Our LLM Development Services

From model selection to production integration.

### Model Selection & Architecture

We select the optimal LLM for your use case: Claude for precision, GPT-5.3 for versatility, Gemini 3 for multimodal tasks.

### Prompt Engineering

Professional prompt design for consistent, precise results. As part of llm development, we deliver we deliver system prompts, chain-of-thought, and few-shot strategies.

### RAG Systems

Retrieval-Augmented Generation with Pinecone and Qdrant. LLMs that access your enterprise data.

### Fine-Tuning

Customization of language models to your specific requirements. Domain-specific optimization for higher accuracy.

### API Integration

Seamless integration of LLMs into your existing systems via APIs. RESTful endpoints for your applications.

### Security & Compliance

GDPR-compliant LLM implementations. Content filtering, hallucination control, and audit logging.

## LLM Development Process

### Consultation

Free initial consultation via video call. We understand your business, identify AI opportunities, and provide an initial assessment of feasibility and timeline.

### Proposal & Planning

Detailed feature breakdown, fixed-price proposal, technical architecture plan, and weekly milestones.

### AI-Accelerated Development

Agile development with weekly demos. Working MVP in 4 weeks with production-ready code and automated tests.

### Launch & Support

Production deployment with complete documentation. Includes 2 weeks of priority support after go-live.

## LLM Development FAQ

Q: Which LLM is best for my project?

A: It depends on the use case. Claude Sonnet 4.6/Opus 4.6 excels at precise, long texts. GPT-5.3 is versatile. Gemini 3 is strong for multimodal tasks. Llama 4 and Mistral Large offer open-source alternatives. We advise you for free.

Q: How much does LLM development cost?

A: MVP Sprints start from 18,000 euros (4 weeks). An LLM integration into an existing system typically costs 8,000-25,000 euros via our API development service.

Q: How does RAG work with an LLM?

A: RAG (Retrieval-Augmented Generation) connects an LLM with your enterprise data. Documents are indexed in vector databases like Pinecone or Qdrant and provided as context for queries.

Q: Can LLMs be customized to our data?

A: Yes, through fine-tuning or RAG. Fine-tuning adapts the model itself, RAG extends it with your knowledge base. Both approaches can be combined.

Q: How do you ensure LLM output quality?

A: Through structured prompt engineering, output validation, hallucination detection, and automated testing. We also implement content filtering and guardrails.

Q: Is GDPR-compliant LLM usage possible?

A: Yes. We implement GDPR-compliant LLM solutions with data encryption, anonymization, and fully private deployments on request.

## LLM Development for Your Business

Free initial consultation — we find the right language model for your use case.
