Demir Technology offers a focused set of services covering the full data journey — from raw ingestion to ontology-instructed AI systems. Engagements span Microsoft Fabric data platforms, knowledge-graph-powered AI, and independent advisory backed by 25+ years of hands-on experience.
Data Engineering & Microsoft Fabric
Production-grade data infrastructure your team can trust and maintain. We architect unified data estates on Microsoft Fabric and design real-time pipelines that survive contact with production.
- ETL/ELT pipelines that scale with your data volume
- Real-time streaming with Kafka and Flink
- Orchestration with Airflow, Prefect, or Dagster
- Data quality frameworks (Great Expectations, dbt tests)
- Lakehouse architecture on Delta Lake or Apache Iceberg
- DataOps: version control, CI/CD for data, automated testing
AI & Semantic Systems
Beyond standard models — we design ontology-instructed AI: knowledge graphs integrated with LLMs to create semantic engines that understand business logic, not just process text. From prototype to production, reliably.
- Knowledge graph design and GraphRAG with Neo4j
- LLM & RAG applications (OpenAI, Hugging Face, LangChain)
- End-to-end ML pipelines: features, training, evaluation, serving
- MLOps: experiment tracking, model registry, CI/CD for ML
- Recommendation systems, forecasting, NLP, and computer vision
- AI strategy: identifying the highest-value, lowest-risk use cases
Consulting, Architecture & Training
Not sure where to start — or about to make a major investment? Independent advisory, architecture reviews, and MCT-led training to cut through the noise before you commit.
- Data platform audits: assess your setup, identify bottlenecks
- Technology selection: unbiased evaluation that fits your budget
- Architecture reviews: a second opinion before a big investment
- Hands-on workshops on Microsoft Fabric, Azure AI, and the modern data stack
- Team upskilling: dbt, Spark, Airflow, MLOps, Neo4j
- Strategic AI advisory: portfolio prioritisation and roadmaps
Also available#
We also support Data Analytics & Business Intelligence workstreams when they sit alongside a platform engagement — semantic layer design, BI dashboards (Power BI, Looker, Metabase, Grafana), KPI frameworks, and self-serve analytics setup so analysts move fast without engineering bottlenecks.
Engagement models#
| Model | Best for |
|---|---|
| Project-based | A specific, scoped deliverable with a clear start and end |
| Extended freelance | Embedded in your team for weeks or months |
| Part-time retainer | Ongoing support for a fixed number of days per week |
| Consulting day | One-day advisory session or architecture review |
| Workshop / Training | 1–3 day MCT-led training on Fabric, Azure AI, or the modern data stack |
Both remote and on-site (Netherlands and Europe).
Let’s talk#
Ready to get started, or not sure which service fits your situation? Get in touch — the first conversation is always free.