Our ServicesDATA & AI

Understand, Enrich, and Scale Data – Unlock Measurable Value with Data & AI.

Unstructured data mountains? Siloed solutions? Manual reports? Companies that don’t leverage their data waste potential. Modern organizations build scalable data platforms, connect sources in real time, deploy machine learning in production – and create decision support, automation, and new business models.

We help you turn data into a reliable decision-making foundation – technically sound, business-ready, and securely governed. From data engineering & governance to streaming pipelines, data lakes, AI-based forecasting, generative AI assistants, and MLOps for production operations.

Our approach bridges business goals with technical excellence: we identify relevant data sources, harmonize them in scalable platform architectures (Data Lake / Lakehouse / Warehouse), enrich them, and make them available for analytics, reporting, and machine learning workloads. We always consider data protection (GDPR), role- & access models, cost control, and future scalability.

Whether you need your first dashboards, want to make your data science teams more productive, or bring GenAI applications onto your own secure data – we develop a roadmap that matches your maturity level and delivers real ROI.

Data & AI Services at a Glance

Data Engineering & Data Lakes

Scalable data platforms (Lake / Lakehouse / Warehouse) for structured & unstructured sources – the foundation for analytics, ML & compliance.

Plan Data Platform

Data Integration & ETL/ELT

Batch & streaming pipelines, real-time ingestion, transformation, quality assurance & version control for trustworthy data.

Evaluate Pipelines

Business Intelligence & Reporting

Self-service dashboards, KPI cockpits, data models & governance – decisions at the click of a button instead of Excel chaos.

Start BI Solution

Machine Learning & Predictive Analytics

Forecasting, anomaly detection, churn/next-best-action models & scoring pipelines for operational decisions.

Check ML Use Case

Generative AI & LLM Integration

Chatbots, knowledge search, retrieval-augmented generation (RAG), text & image generation – securely on your enterprise data.

Start GenAI PoC

MLOps & Model Operations

Model versioning, CI/CD for ML, drift monitoring, retraining, A/B tests & responsible large-scale model operations.

Establish MLOps

Want to start small or rescue an ongoing data project? We join you wherever you are – workshop, audit, or hands-on engineering.

Discuss Project

From Raw Data to Competitive Advantage: Data & AI for Strategy, Growth, and Automation

Many organizations sit on valuable data – spread across ERP, CRM, production systems, sensors, web tracking, or external market data. Without a unified data foundation, reporting silos, slow decisions, and untapped potential emerge. We build scalable data platforms that merge, clean, and make data business-ready.

Robust data engineering provides a reliable base: ingestion pipelines (batch & streaming), data quality checks, metadata catalogs, schema versioning, and access control. Whether cloud-native (Azure, AWS, GCP) or hybrid – we set up your data landing zones correctly and consider security and compliance from the start.

Business units need answers, not raw data. That’s why we deliver business intelligence, self-service dashboards, and KPI models that give executives, operations teams, and controlling reliable real-time insights – without every report becoming an IT project.

The next step turns observation into prediction: machine learning models support demand planning, maintenance forecasting, fraud detection, price optimization, or customer retention. We build ML pipelines, integrate model versioning, and create APIs to feed predictions directly into your business processes.

Generative AI opens new ways to leverage knowledge: internal chat assistants on company documents, automated report summaries, or multilingual support bots. With retrieval-augmented generation (RAG), we combine LLMs with your secure data sources – including governance, access control & logging.

After the PoC comes scaling: with MLOps, we automate training, validation, deployment, and monitoring of your models. We track drift, performance, and cost, build retraining strategies, and ensure models are explainable and compliant.

Data projects rarely fail on technology – but often on ownership, governance, and adoption. We support data governance, role models, GDPR compliance, permissions, and data stewardship. This ensures that data is trustworthy, documented, and usable company-wide.

Understand, Enrich, and Scale Data – Unlock Measurable Value with Data & AI.

Data Engineering & Data Lakes

Data Integration & ETL/ELT

Business Intelligence & Reporting

Machine Learning & Predictive Analytics

Generative AI & LLM Integration

MLOps & Model Operations

From Raw Data to Competitive Advantage: Data & AI for Strategy, Growth, and Automation

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