Product Engineering

The Model Isn't the Problem. Everything Around It Is.

The gap between AI ambition and AI execution is widening - not because ideas are missing, but because most companies have a data architecture problem, not an AI problem. Disconnected ERPs, CRMs, legacy middleware. We don't build AI models. We build the infrastructure that makes AI usable - integrations, data pipelines, and system connections that work on facts, not sand.

Key Services

From Data Foundation to Production-Grade AI

The Mittelstand is ready - but not for science projects. Mid-market manufacturers and distributors want measurable outcomes: order-to-cash that works, field service data that flows, sales teams that see real-time stock. AI that doesn’t connect to those realities is a demo, not a solution. Every building block here connects to your enterprise systems and delivers measurable value.

Enterprise Lakehouse & Data Architecture

We consolidate your fragmented data landscape into a unified lakehouse architecture on Databricks Delta Lake or Snowflake. Medallion architecture (bronze/silver/gold), dbt transformation layers, and a reliable data foundation - so AI builds on facts, not sand.

#Databricks #Snowflake #MedallionArchitecture #dbtCore #UnityCatalog

Real-Time Shop Floor & Streaming Analytics

Streaming pipelines with Apache Kafka and Azure Event Hubs for OPC-UA and MQTT sensor data from your production lines. Real-time OEE dashboards in Power BI that enable immediate intervention - not yesterday’s reports.

#ApacheKafka #AzureEventHubs #OPCUA #MQTT #PowerBI #OEEAnalytics

Predictive Maintenance & Time Series Analysis

ML-powered predictive maintenance pipelines that capture sensor data, process anomalies with Databricks Structured Streaming, and automatically trigger maintenance orders in your SAP PM module. From reactive to proactive - measurably.

#PredictiveMaintenance #Databricks #TimeSeriesML #OPCUA #SAPIntegration

SAP Joule & BTP AI Core - Generative AI in ERP

SAP’s generative AI foundation with BTP AI Core as LLM orchestration runtime. Grounded inference pipelines with RAG over Datasphere semantic layers, Azure OpenAI models, and full master data traceability - no hallucinated results, only auditable answers from your data.

#SAPJoule #BTPAICore #AzureOpenAI #RAG #GroundedLLMs #Datasphere

Computer Vision & Industrial Quality Assurance

Automated defect detection with YOLO models and Azure AI Vision. Edge inference (Azure IoT Edge, NVIDIA Jetson), sub-10ms latency on the production line, and seamless integration into your quality management systems.

#ComputerVision #AzureAIVision #EdgeComputing #NVIDIAJetson #DefectDetection

Intelligent Document Processing (NLP)

NLP and Hugging Face extraction models for invoices, delivery notes, and technical specifications. Data matching against ERP master data and BAPI handoff to accounting workflows - so documents land in processes, not in inboxes.

#DocumentIntelligence #NLP #HuggingFace #SAPBAPI #ProcessAutomation

Agentic AI & Autonomous Enterprise Workflows

Multi-agent systems with LangGraph and Microsoft Semantic Kernel that autonomously execute ERP queries, supplier matching, and procurement orders. Every autonomous action is governed by strict human-in-the-loop approval - full control, no black box.

#AgenticAI #LangGraph #SemanticKernel #MultiAgentSystems #HumanInTheLoop

Data Governance & MLOps Platform

Microsoft Purview for automated data cataloguing and lineage, Databricks MLflow for model registry and drift detection. GDPR-compliant architectures for regulated industrial environments - because AI without trust and compliance doesn’t scale.

#AIStrategy #ProofOfValue #DataReadiness #ArchitectureRoadmap

AI Strategy & Proof-of-Value Sprints

Structured 4–6 week discovery sprints with clear ROI focus. Architecture assessments, data readiness evaluation, rapid prototypes, and a production roadmap — so you know what’s possible, what it costs, and what it delivers before you invest.

#AgenticAI #LangGraph #SemanticKernel #MultiAgentSystems #ProcessAutomation

85 %

Improved Decision-Making:

of AI projects fail due to missing data integration, not model quality

4–6 Weeks

Increased efficiency

from discovery sprint to validated proof-of-value

< 10 ms

Reliability of AI models

Inference latency for edge-based computer vision

SERVICES IN DEPTH

What Our Data & AI Offering Covers

The conversations that get real aren’t about which platform to pick. They’re about who can actually deliver the end-to-end implementation - architecture, integration, go-live - without a 24-month timeline and a seven-figure consulting bill.

Evaluation of your data readiness, system landscape, and AI potential. Result: a prioritised roadmap with clear use cases, architecture decisions, and ROI projections — not a PowerPoint strategy, but an implementation plan.
Identification of quick wins and long-term investment areas based on your actual data quality, system integration, and organisational maturity.
Executive-ready decision document with cost scenarios, risk assessment, and clear build-vs-buy recommendation per use case.

Building and operating lakehouse architectures, streaming pipelines, and integration layers between SAP, Salesforce, Dynamics 365, and legacy systems. The foundation without which no AI initiative becomes production-ready.
End-to-end data pipelines from source extraction through transformation and quality assurance to delivery into analytical and operational target systems.
Infrastructure-as-code with Terraform, automated data quality gates with Great Expectations, and Unity Catalog for granular access control.

Development, training, and deployment of ML models for predictive maintenance, demand forecasting, quality prediction, and process optimisation. From the feature engineering phase to the productive MLflow registry entry.
Automated retraining pipelines with drift detection, so models remain reliable even as the underlying data changes.
A/B testing frameworks and shadow deployments for low-risk model updates in production environments.

Grounded RAG pipelines, Agentforce agents, SAP Joule activation, and custom LLM applications — on your data, in your systems, with full traceability and human-in-the-loop control.
Prompt engineering, fine-tuning, and guardrail configuration for enterprise-compliant outputs — no generic answers, only auditable results based on your master data.
Cost optimisation through intelligent routing between model sizes (GPT-4o, GPT-4o-mini, open-source models) depending on use case and latency requirements.

Industrial image processing for quality control, counting, classification, and anomaly detection. Training, edge deployment, and integration into existing QMS and MES systems.
Annotation pipelines, transfer learning, and automated model validation - from the first labelled batch to a productive inline inspection system.
Hardware consulting for camera systems, lighting, and edge compute modules (NVIDIA Jetson, Azure IoT Edge) tailored to your production environment.

Extraction, classification, and routing of unstructured documents. From invoice processing to delivery note matching to automated contract data extraction - with ERP write-back.
Integration into your existing document management systems (SharePoint, SAP DMS, OpenText) with rule-based and AI-powered classification.
Measurable reduction in manual data entry - typically 60–80% fewer touchpoints per document process.

Data cataloguing, lineage tracking, model monitoring, and drift detection in live operations. GDPR-compliant architectures, Unity Catalog access control, and quarterly model performance reviews.
Role- and policy-based data access control across all environments - development, staging, production - with full audit traceability.
Proactive monitoring of model quality, feature drift, and data pipeline health - so your AI systems stay reliable, not just at launch.

Reference Projects

Selected Client Projects

Big Data & AI

Market Science Algorithms

Algorithm-based applications for highly sensitive market analyses.

+35% Forecast Accuracy

Global Manufacturing

SAP S/4 Implementation & Shared Service

SAP S/4 HANA implementation with 24×7 support.

Go-live in 6 Months

Construction

AI-Driven Drone Monitoring & BIM

AI-based drone LiDAR systems as part of BIM.

40% Time Saving

Industry 4.0

Shopfloor Workflow & Analytics

SaaS platform for digital transformation in the automotive supplier industry.

Real-time Transparency

Logistics

MS Dynamics CRM Implementation

MS Dynamics CRM implementation with 24×7 support.

24/7 Support SLA

Mittelstand