Service
Native GenAI integration in .NET
LLM, RAG, agents or scoring integrated cleanly in your .NET product.
Who it helps
.NET teams that want LLM, RAG, agents or ML while keeping a maintainable stack.
The problem
Many AI integrations stay fragile: untested prompts, sensitive data poorly handled, no cost tracking and no fallback plan. The goal is a reliable flow, not an impressive demo.
How I approach it
- 1Use-case scoping: RAG, agent, classification, scoring or anonymization.
- 2Framework selection: Semantic Kernel, Microsoft.Extensions.AI, Agent Framework, AutoGen .NET.
- 3Provider abstraction: OpenAI, Claude, Gemini, Mistral, Azure OpenAI - no vendor lock-in.
- 4Vector store: pgvector, Qdrant, Pinecone, FAISS or local ONNX.
- 5LLM evaluation: regression, drift and A/B canary.
- 6ML.NET when an LLM is excessive: classification, regression, time series, TreeSHAP.
- 7Security: reversible PII masking, audit logs and GDPR-aware gates.
What you leave with
- Production integration in a few weeks.
- One maintainable .NET stack.
- Evaluation pipeline to catch regressions before users do.
- Skill transfer to your .NET team.
Concrete proof
Matchr, Vouch, PromptVault and SaleCast show the same pattern: useful AI inside product boundaries, with tests, cost tracking, evaluation and handover.
Format and investment
2 to 8 weeks for a POC/integration, 3 to 9 months for a full build.
Day rate EUR 450-650 ex. VAT. Two-week POC packages from EUR 5,500.
Within 5 days after scoping.
Pricing is indicative and adjusted to scope, team size, criticality and duration. The first scoping call is free.
Other services
Product Sprint - 10 days
One module, feature or AI integration delivered in usable form.
Full Product Build - from zero to production
A hands-on senior profile to build, stabilize and transfer.
Architecture audit and optimization
Find the real bottleneck, fix the first causes, leave measurable ground.
Real-time performance and high-load compute
Latency, throughput and memory when the technical constraint becomes visible in the product.
IoT, embedded firmware and cloud telemetry
Firmware, cloud telemetry and dashboard: an operable chain end to end.
Does this topic match your situation?
The first call is free. I will say clearly if I am not the right profile.