How much does LLM development cost?

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.

How does RAG work with an LLM?

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.

Can LLMs be customized to our data?

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

How do you ensure LLM output quality?

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

Is GDPR-compliant LLM usage possible?

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

LLM Specialists from Berlin

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.

AI-Native since 2024Fixed PricesFull Code OwnershipGDPR-compliant

View Technologies

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.

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

1
Consultation
Day 1
Free initial consultation via video call. We understand your business, identify AI opportunities, and provide an initial assessment of feasibility and timeline.
2
Proposal & Planning
Day 2–3
Detailed feature breakdown, fixed-price proposal, technical architecture plan, and weekly milestones.
3
AI-Accelerated Development
Weeks 1–4
Agile development with weekly demos. Working MVP in 4 weeks with production-ready code and automated tests.
4
Launch & Support
Week 4+
Production deployment with complete documentation. Includes 2 weeks of priority support after go-live.

LLM Development FAQ

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.

LLM Development for Your Business

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

View all pricing →