Skip to main content

AI Development & LLM Integration - innFactory

AI Development & Integration: RAG systems, LLM integration, custom AI models - from strategy to production-ready AI solutions. With innFactory AI Consulting.

Generative AI RAG Experts LLM Integration
Custom AI for your use cases
Gen-AI Apps & Chatbots
Private GPT GDPR-compliant
🧠
LLM Integration OpenAI, Anthropic, Google & Open Source
📚
RAG Systems AI with your enterprise data
🔧
Custom Models Tailored ML solutions
🔒
GDPR-compliant Data privacy and EU AI Act ready

innFactory AI Consulting

Our subsidiary innFactory AI Consulting GmbH specializes in AI strategy, compliance and tailored AI solutions for enterprises.

  • AI Strategy Consulting & Workshops
  • EU AI Act Compliance & AI Officer Training
  • AI Management System according to ISO 42001
  • AI Blog with practical knowledge from daily work
Visit innfactory.ai →

CompanyGPT - Your Private ChatGPT Alternative

The GDPR-compliant ChatGPT solution for enterprises. Leverage the benefits of GPT-4 & Claude - without transmitting your sensitive data to third parties.

  • 100% GDPR-compliant in German data centers
  • Integration of your enterprise data (RAG)
  • SSO connection to your Azure Entra ID
  • Individual branding & custom instructions
Discover CompanyGPT →

Our AI Services

From Generative AI to Custom Machine Learning - we develop AI solutions that create real value.

💬

LLM Integration & Chatbots

Integration of leading Large Language Models into your applications and processes.

  • OpenAI GPT-4o & GPT-4 Turbo
  • Anthropic Claude 3.5 Sonnet
  • Google Gemini Pro
  • Open Source: Llama 3, Mistral
📖

RAG Systems

Retrieval-Augmented Generation for AI responses based on your enterprise data.

  • Vector databases (Pinecone, Weaviate)
  • Document Processing & Chunking
  • Embedding strategies
  • Hybrid Search & Reranking
🔧

Custom AI Models

Tailored Machine Learning models for specific requirements.

  • Computer Vision with PyTorch
  • NLP & Text Classification
  • Finetuning of Foundation Models
  • On-Premise Deployment
🤝

AI Agents & Automation

Intelligent agents that autonomously complete tasks and control systems.

  • Model Context Protocol (MCP)
  • Tool-Calling & Function Execution
  • Workflow Automation
  • Multi-Agent Systems

AI Use Cases

💬

Intelligent Chatbots

Customer service bots that access your knowledge base and answer questions precisely.

📄

Document Analysis

Automatic extraction, classification and summarization of documents.

👁️

Image Analysis & Vision

Quality control, object detection and image classification for your products.

⚙️

Process Automation

AI-powered automation of repetitive tasks and workflows.

AI Technologies

We work with the leading AI platforms and frameworks.

LLM Providers

OpenAI OpenAI
Azure OpenAI Azure OpenAI
AWS Bedrock AWS Bedrock
Google Vertex AI Google Vertex AI

ML Frameworks

PyTorch PyTorch
Hugging Face Hugging Face
LangChain LangChain
LlamaIndex LlamaIndex

Vector Databases

Pinecone Pinecone
Weaviate Weaviate
ChromaDB ChromaDB
Qdrant Qdrant

AI Development Process

From idea to production AI system - structured and transparent.

1

Use Case Discovery

Identification of the most valuable AI use cases for your organization.

2

Data & Feasibility

Analysis of your data sources and technical feasibility assessment.

3

Prototyping

Rapid proof of concept to validate the business value.

4

Development

Iterative development with continuous evaluation and optimization.

5

Integration

Integration into your existing systems and processes.

6

Monitoring

Continuous monitoring, retraining and improvement.

Why innFactory for Your AI Projects?

We combine deep ML expertise with pragmatic implementation - no AI hype, just real solutions.

Practical Experience Over Theory Production AI systems for renowned clients such as Sonepar and Schön Klinik
Full-Stack AI Competence From data engineering to training to deployment - everything from one source
Cloud-native AI Scalable architectures on AWS, Azure and Google Cloud
EU AI Act Ready Compliance-ready AI solutions with documentation and governance

Frequently Asked Questions

What is RAG and when do I need it?

RAG (Retrieval-Augmented Generation) connects LLMs with your enterprise data. This enables AI to provide precise answers based on your documents, wikis or databases - ideal for chatbots and knowledge management.

Do I need my own GPU servers for AI?

No, for most use cases we use cloud APIs (OpenAI, Azure, etc.) or managed services. We train custom models on cloud GPUs that are only paid for when needed.

How do you protect my sensitive data?

We rely on private endpoints, EU regions and on-premise models (Llama, Mistral) when required. For maximum control, we recommend Azure OpenAI or our product CompanyGPT.

Start Your AI Project?

Let's identify the AI potential for your organization together.

Free Initial Consultation