AI Solutions

Custom LLM integration

GPT-4, Claude, Gemini or open-source models integrated into your existing workflows. With RAG, fine-tuning and prompt engineering for maximum relevance and control.

Get a free quote Request for quote

Why custom LLM integration?

Large Language Models (LLMs) are powerful but generic. By connecting them to your data and processes (via RAG, fine-tuning or smart prompt engineering) they become useful for your domain. We integrate into marketing automation, e-commerce and internal tools. For customer contact we combine with intelligent chatbots. For sensitive data we offer privacy-first AI. Our AI solutions focus on measurable ROI.

Request a free intake. We outline use case, model choice and investment.

Capabilities

What we deliver

Model choice

OpenAI, Anthropic, Google or open-source (Llama, Mistral). We choose based on cost, latency and compliance.

RAG

Your documents and knowledge bases as context. No hallucinations on facts; source attribution possible.

Prompt engineering

Stable prompts, few-shot examples and guardrails. Predictable output for production.

Integration

API integration in Laravel, n8n or existing apps. Logging, retries and cost monitoring.

Why choose us

Benefits

ROI

Measurable savings or revenue improvement. No proof-of-concept without business case.

Control

Your data, your prompts. We document and secure.

Scalable

From pilot to enterprise. Cost and performance optimized.

How we work

Our process

Use case & data

Concrete question, available data and success metrics. RAG vs. fine-tuning choice.

Prototype

First integration, prompt set and optional RAG pipeline. Validation with stakeholders.

Production

API, error handling, monitoring and cost control. Documentation and handover.

Iteration

Improve based on usage and feedback. New models or features.

Technology stack

Technologies

OpenAI API Anthropic Google AI Llama Mistral LangChain Laravel n8n Vector DB

Use cases

Internal knowledge assistant

RAG on manuals, procedures and documents. Employees find answers fast.

Content & e-commerce

Product descriptions, personal recommendations or summaries. Integrated in your stack.

FAQ

Frequently asked questions

A simple RAG pilot: from roughly €15,000. With fine-tuning and multiple use cases: €30,000–€80,000+. API costs (OpenAI etc.) are variable; we estimate. Quote after intake.

RAG is faster and cheaper when you mainly want to add your own knowledge. Fine-tuning is useful for very specific tone or domain language. We advise in discovery.

RAG with sources, clear prompts and guardrails. We test edge cases and document limitations. For critical decisions we recommend human-in-the-loop.

Depends on contract: many providers do not use data for training. For sensitive data we can use on-premise or open-source models. See privacy-first AI.

Yes. We connect via API to Laravel, WordPress, n8n, CRM and e-commerce. We build on what you have.

Explore all AI Solutions & Integration solutions

Ready to get started?

Book a free intake and receive a tailored proposal within 48 hours.

Plan Intake No commitment · Free consultation