Production AI Systems

Our AI Doesn't Work in Production

The proof-of-concept looked great. Then real users arrived. Hallucinations. Latency issues. Costs spiraling. The gap between 'AI demo' and 'AI production' is bigger than anyone told you.

Production Reality

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The RAG demo was impressive. Real-world accuracy is 60%.

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Latency that was 'fine in testing' is killing user experience.

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Inference costs are 10x what you budgeted.

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Your team can't debug it when things go wrong.

Built for Production

I build and fix production AI systems. RAG pipelines that actually work. Fine-tuned models that fit your use case. Infrastructure that scales.

1

Diagnose

Identify root causes. Hallucinations? Retrieval quality? Chunking strategy? Prompt engineering?

2

Architect

Design for production requirements: accuracy, latency, cost, security, observability

3

Build

Implementation with proper evaluation frameworks, not vibes-based testing

4

Transfer

Your team learns to operate and improve it. Documentation, training, handover.

What You Get

Production RAG Pipeline (optimized for your use case)
Fine-Tuned Models (when appropriate)
Evaluation Framework (accuracy, latency, cost monitoring)
LLMOps Infrastructure
Security & Governance Documentation
Team Training & Capability Transfer

Right Fit If...

You have AI systems that work in demos but fail in production. You need someone who can debug at the infrastructure level, not just prompt engineering. €50K-200K depending on scope.

Ready to Get Started?

Let's discuss how this service can address your specific challenges and drive real results.