You will get Private On-Premise AI Assistant (RAG): Your Data Never Leaves
Project details
Want AI over your own documents, but the data cannot go to OpenAI or Anthropic? I build private, on-premise AI assistants where not a single byte leaves your servers.
Most AI developers only wire up hosted APIs. On-prem is a different skill set: local model serving (Ollama or vLLM), a self-hosted vector store, security, and compliance. I have built it. My reference system answers strictly from your documents, cites the exact source for every answer, keeps an audit trail, and runs fully in-house.
What you get:
• Private RAG over your documents, with citations, and no data leaving your network
• Engine-agnostic setup (Ollama, vLLM), so you are not locked to any vendor
• Ingestion, search, roles, and an audit trail, on your own infrastructure
• You own the code, the data, and the deployment
Ideal for legal, healthcare, finance, and public sector, where data sovereignty is non-negotiable.
Honest note: the pilot tier delivers a working proof of concept on your infrastructure. Production hardening (auth, scale, a polished interface) is a defined next tier, scoped transparently.
I am a TÜV-certified AI Manager based in Germany, GDPR-native.
Most AI developers only wire up hosted APIs. On-prem is a different skill set: local model serving (Ollama or vLLM), a self-hosted vector store, security, and compliance. I have built it. My reference system answers strictly from your documents, cites the exact source for every answer, keeps an audit trail, and runs fully in-house.
What you get:
• Private RAG over your documents, with citations, and no data leaving your network
• Engine-agnostic setup (Ollama, vLLM), so you are not locked to any vendor
• Ingestion, search, roles, and an audit trail, on your own infrastructure
• You own the code, the data, and the deployment
Ideal for legal, healthcare, finance, and public sector, where data sovereignty is non-negotiable.
Honest note: the pilot tier delivers a working proof of concept on your infrastructure. Production hardening (auth, scale, a polished interface) is a defined next tier, scoped transparently.
I am a TÜV-certified AI Manager based in Germany, GDPR-native.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Microsoft 365 Copilot, NVIDIA AI PlatformAI Models
ChatGPT, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$12,000
|
Standard
$38,000
|
Advanced
$50,000
|
|---|---|---|---|
| Delivery Time | 21 days | 56 days | 70 days |
Number of Revisions | 2 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | ||
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Create custom add-on
(+ 10 Days)
+$1,000Frequently asked questions
About Qamar
AI Product Builder & Consultant | 3 Live SaaS Products
Runkel, Germany - 10:06 am local time
The proof is not a folder of mockups. It is three products I conceived, architected, and run myself, with Stripe in live mode:
• Salsafy: a live marketplace and ticketing SaaS (React 19, Firebase, Stripe live-mode, 90+ cloud functions, full CI/CD, GDPR, monitoring).
• Fahryo: a 16-language app with an AI coach on a production RAG pipeline (Vertex AI, pgvector), deployed on Google Cloud Run with automated rollout.
• Profivo: an offline-first field-documentation SaaS with a custom sync engine, multi-tenant isolation, and tamper-evident PDF signatures.
What that means for you:
• I build and ship SaaS MVPs solo, in weeks, because AI tooling plus 13 years of enterprise product experience lets me move fast.
• I integrate real AI features (RAG, LLM assistants, automation), in the cloud or fully on-premise, with cost controls and audit trails.
• I bring product, architecture, security, and compliance judgment from day one, as a TÜV-certified AI Manager who has delivered for SAP, Deutsche Bank, BMW, and Lufthansa.
Where I fit best: new builds and AI features where I own the stack, not deep maintenance of large legacy codebases. If your goal is a shipped product or a working AI feature, that is exactly what I do.
Based in Germany (CET) with overlap into US morning hours. Fixed price for defined scope, hourly for open-ended advisory. Tell me what you want to ship, and I will tell you honestly what it takes.
Steps for completing your project
After purchasing the project, send requirements so Qamar can start the project.
Delivery time starts when Qamar receives requirements from you.
Qamar works on your project following the steps below.
Revisions may occur after the delivery date.
Scoping and architecture
We define your data, volumes, infrastructure and privacy constraints, and I design the on-prem setup.
Ingestion and retrieval
I build the private pipeline: ingestion, indexing, and retrieval that answers only from your documents, with citations.