AI & Data Management

Our services

AI Expertise and Data Management for Measurable Business Success

Whether it’s data integration, machine learning, or data warehousing – we help you modernize your data landscape and transform it into sustainable business success. With scalable cloud solutions and deep AI expertise, we stand by your side as a strong partner.

Data Engineering

Scalable Data Architectures for Maximum Efficiency

We develop robust and scalable data infrastructures that enable you to use your data reliably, securely, and in a future-proof way. From integrating diverse sources to efficient data pipelines and preprocessing – we lay the foundation for your data-driven applications, whether in the cloud, on-premises, or hybrid.

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Key Offerings

Development of Scalable Data Pipelines

Scalable Data Pipeline Development

Efficient data pipelines are the backbone of modern data architectures. We design and implement ETL and ELT pipelines that reliably handle large volumes of data — whether in real time or batch-based, depending on your business needs.

Our Services:

Building robust data flows using modern orchestration tools
Transforming and enriching raw data
Integrating structured and unstructured data sources
Ensuring data quality and performance
Monitoring, logging, and alerting for operational stability

Technologies Used:

Orchestration: Apache Airflow, Google Cloud Composer, Prefect
Transformation: dbt, SQL, Spark
Cloud Integration: Google Cloud Dataflow, AWS Glue, Azure Data Factory
Monitoring: Stackdriver, Grafana, Great Expectations

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Real-Time & Streaming Data Processing

Realtime & Streaming Data Processing

In many scenarios, data must be processed in real time — whether for IoT applications, fraud detection, or live analytics. We implement powerful streaming architectures that are highly scalable and extremely responsive.

Our Services:

Building event streaming pipelines
Integration with pub/sub systems
Time window analysis & sessionization
Stateful stream processing

Technologies Used:

Messaging: Apache Kafka, Google Pub/Sub, RabbitMQ
Stream Engines: Apache Flink, Kafka Streams, Google Dataflow (Streaming)
Data Storage: BigQuery, ClickHouse, InfluxDB

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Cloud-Native Data Architectures

With cloud-native architectures, we build flexible data platforms that scale with your business. We rely on Infrastructure as Code, automated scaling, and seamless integration.

Our Services:

Design and implementation of cloud data lakes and warehouses
Development of modular, scalable data platforms
Use of containerization & Kubernetes for data processing components
Security, access control, and cost optimization

Technologies Used:

Cloud Platforms: Google Cloud Platform (BigQuery, GCS), AWS (S3, Redshift), Azure
IaC & Deployment: Terraform, Kubernetes, Helm, GitLab CI
Security: IAM, VPCs, Secret Management

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Data Integration & Unification

Many companies face data silos that prevent a holistic view of their operations. We help you connect your systems—regardless of source, format, or location.

Our Services:

Integration of SaaS systems, on-prem databases, APIs, and file systems
Connectors for ERP, CRM, IoT devices, web tracking, etc.
Harmonization of different data models
Real-time sync or batch-based solutions—depending on your use case

Technologies Used:

ETL Tools: Fivetran, Stitch, Talend, Apache NiFi
API Integration: REST, GraphQL, gRPC
Databases: PostgreSQL, MySQL, MongoDB, Snowflake

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DataOps & Operations

Data infrastructure isn’t just built once—it must be continuously maintained and improved. By applying DataOps principles, we establish robust workflows for deploying, testing, and monitoring your data processes.

Our Services:

CI/CD pipelines for data workflows and SQL models
Automated testing for data quality
Version control & change management for data models
Observability: detecting anomalies & bottlenecks

Technologies Used:

CI/CD: GitLab CI, dbt Cloud, Jenkins
Testing & Monitoring: Great Expectations, Evidently AI
Orchestration & Automation: Airflow, Dagster, Mage

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Machine Learning

Intelligent Models for Well-Founded Decisions

We develop, train, and operate predictive models that help your company recognize patterns, automate processes, and make strategic decisions based on data.From classic machine learning methods to modern deep learning approaches, we support you from idea to productive application.

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Key Offerings

Model Development

Predictive modeling is a key component of data-driven decision-making. We build models that detect behavioral patterns, predict events, and uncover business opportunities — ranging from classification and regression to clustering.

Our Services:

Defining objectives and analyzing data foundations
Feature engineering and selection strategies
Model training, hyperparameter tuning, and evaluation
Selecting appropriate algorithms based on business use case
A/B testing and model comparisons

Technologies Used:

Frameworks: scikit-learn, XGBoost, LightGBM
Languages: Python (pandas, NumPy), R
Evaluation Tools: MLflow, Optuna, SHAP, matplotlib/seaborn

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Deep Learning & Neural Networks

Deep learning opens up new dimensions in pattern recognition, especially for images, speech, and time series. We develop domain-specific models and architectures — from CNNs to Transformer networks.

Our Services:

Architecture design (CNNs, LSTMs, Transformers)
GPU-based training of large-scale models
Transfer learning & fine-tuning of pre-trained networks
Use cases: text classification, image recognition, NLP, forecasting

Technologies Used:

Libraries: TensorFlow, Keras, PyTorch, Hugging Face Transformers
Deployment: ONNX, TorchScript, TensorRT
Infrastructure: GCP AI Platform, Vertex AI, Docker/Kubernetes

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MLOps & Model Operations

For machine learning to be effective in production environments, you need stable processes and repeatable workflows. With MLOps, we automate training cycles, model testing, deployments, and monitoring — fully integrated into your CI/CD landscape.

Our Services:

Building end-to-end MLOps pipelines
CI/CD for ML: from model development to deployment
Monitoring & retraining based on drift detection
Governance: model versioning, auditability

Technologies Used:

Platforms: MLflow, Vertex AI Pipelines, Kubeflow
Automation: GitLab CI, Jenkins, Airflow
Monitoring: Prometheus, Evidently, Grafana

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Explainable AI & Fairness

Transparent decision-making is essential — especially in automated processes. With Explainable AI, we ensure that models are understandable, interpretable, and fair — particularly in regulated environments.

Our Services:

Using XAI frameworks to visualize decision logic
Bias detection and fairness analysis
Reporting for business departments and compliance
Integration into dashboards and business tools

Technologies Used:

Frameworks: SHAP, LIME, Alibi Explain
Tooling: Streamlit, Dash, Power BI integration
Regulations: GDPR-compliant documentation

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Time Series Analysis & Forecasting Models

Time series analysis is a crucial component of forecasting — e.g., for demand prediction, energy consumption, or anomaly detection. We build models that detect seasonal, trend-based, or event-driven patterns.

Our Services:

Exploratory analysis and feature generation
Training of classical and deep learning forecasting models
Combined regression/classification models
Scenario modeling to support business decisions

Technologies Used:

Models: Prophet, ARIMA, LSTM, Temporal Fusion Transformer
Libraries: statsmodels, GluonTS, Darts, scikit-time
Visualization: Plotly, Seaborn, Dash

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Generative AI

Unlock New Business Potential with Generative AI

Whether it’s text, code or speech – generative AI is changing the way we interact with data. We help you integrate modern LLMs into your processes securely, effectively, and in compliance with GDPR – from development to the operation of production-ready solutions.

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Key Offerings

Development of LLM-based applications

We design and develop individual applications based on large language models (LLMs) that create real added value — whether in the form of chatbots, copilots or interactive analysis tools.

Our services:

Selection of suitable foundation models (GPT, Gemini, Claude, etc.)
Conception & UX design of LLM interfaces (e.g. chat, prompt forms)
Interface development for internal systems & APIs
Role and rights concepts for safe use

Technologies used:

models: OpenAI GPT-4, Gemini, Mistral, Claude, LLama
Frameworks: LangChain, llamaIndex
Deployment: Vertex AI, Azure OpenAI, Docker/K8s

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Retrieval-Augmented Generation (RAG)

RAG combines the strengths of LLMs with structured corporate knowledge. We integrate your knowledge databases, documents, or SQL systems directly into the response process — with full source traceability.

Our services:

Building indexing and search pipelines
Vector-based document search & ranking
Dynamic context enrichment of prompts
Access control & context filtering for various user roles

Technologies used:

Vector stores: Weaviate, Pinecone, FAISS, Chroma, pgvector
Indexing & embeddings: OpenAI, Vertex AI Embeddings, Hugging Face
Frameworks: LangChain, llamaIndex

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Prompt Engineering & Testing

The right prompt determines the quality of a generative answer. We design, test, and optimize prompts systematically — so that your LLM application works precisely, robustly, and consistently.

Our services:

Development of effective prompt templates (zero, few, chain of thought)
Defining Guardrails & Response Logic Rules
Prompt testing & regression tests (e.g. with evals)
Building prompt libraries for reuse

Technologies used:

Test tools: Promptfoo, ReAct, LangSmith
Evaluation: GPT-evals, human-in-the-loop feedback
Frameworks: PromptLayer, LangChain Agents

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Fine-tuning & Customization of Models

Standard models are not always enough — especially when domain-specific knowledge or specific tonality is required. We help you adapt models to your own data and use cases.

Our services:

Fine-tuning on text corpora, transcripts, or product data
Adapter approaches (LoRa, PEFT) for resource optimization
Training data creation, preprocessing & validation
Hosting & deployment of finetuned models

Technologies used:

Frameworks: Hugging Face Transformers, PEFT, DeepSpeed
Training environment: Vertex AI Custom Training, SageMaker, Colab Pro
formats: OpenAI FT, ggml, vLLM, quantized models

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Data Protection & Compliance for Generative AI

Transparency and control are essential, especially when it comes to sensitive data. We implement generative AI solutions that are GDPR-compliant, auditable and can be operated securely — on-prem or in isolated cloud environments.

Our services:

Data protection-compliant architecture consulting & risk assessment
Editorial filters (prompt layering, pre/post processing)
Logging, audit trails & access credentials
Training employees how to use Generative AI safely

Technologies used:

architecture: Isolated model gateways, private GPT, API proxies
Security: IAM, token obfuscation, secure storage
Governance: Data loss prevention (DLP), consent management tools

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BI & Data Analytics

Understand Data. Make Informed Decisions.

With modern business intelligence and analytics solutions, we make your data visible, understandable, and actionable. We develop high-performance dashboards, implement self-service tools, and establish structures for data-driven decisions at all levels.

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Key Offerings

Dashboard Design & Reporting Solutions

We create custom dashboards that don’t just look good – they deliver real business value. Our solutions are user-centric, performance-optimized, and seamlessly integrated into your existing system landscape.

Our Services

UX-Centered Dashboard Design
Integration with Data Warehouses, Data Lakes, and APIs
Report Development for Management, Business Units & Operations
Automated Report Distribution (Email, Slack, PDF)

Technologies Used

Visualization: Looker, Power BI, Tableau, Google Data Studio
Data Sources: BigQuery, Snowflake, REST APIs
Automation: Scheduled Reporting, Cloud Functions

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Self-Service BI for Business Departments

Data competence starts within your business units. We build intuitive BI environments that empower your employees to independently perform analyses and make data-driven decisions – securely and within governance frameworks.

Our Services

Development of Semantic Data Models & Views
User Roles, Permissions & Governance Structures
Training & Enablement for End Users
Tool Selection & Integration into Existing Systems

Technologies Used

Modeling: dbt, LookML, Power BI Dataflows
Governance: Row-Level Security, Role-Based Access
Enablement: Workshops, Training Sessions, Documentation Platforms

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Ad-Hoc Analysis & Exploratory Data Analysis

Ad Hoc & Exploratory Data Analysis

When quick insights or deep dives are needed, we support you with solid ad hoc analyses – from hypothesis formulation to decision-making foundation.

Our Services

Data Exploration & Visual Analytics
KPI Calculation & Trend Analysis
Correlation, Segmentation & Anomaly Detection
Support for Business Cases & Decision Analyses

Technologies Used

Tools: Jupyter, Power BI, Tableau
Languages: SQL, Python (pandas, seaborn, plotly)
Data Access: DirectQuery, BI Data Layer, Notebooks

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Advanced Analytics & Decision Intelligence

We go beyond traditional BI by enabling advanced analytics: What will happen? Why did it happen? And what if...? We deliver insights that drive real impact.

Our Services

Scenario Analysis & Forecasting
Root Cause Analysis
Decision Support Through Simulations & Recommendations
Integration with Machine Learning Models

Technologies Used

Analytics Engines: BigQuery ML, AWS SageMaker Canvas, Vertex AI
Visualization: Streamlit, Dash, Power BI Advanced Features
Techniques: Regression, Scenario Scoring, What-If Analyses

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Analytics Governance & Quality Assurance

To ensure long-term trust in your analytics, we establish processes and structures for quality control, traceability, and compliance across the entire analytics workflow.

Our Services

Definition of Data Contracts & KPI Catalogs
Metadata Management & Documentation
Data Lineage & Impact Analysis
Test Automation & Alerting for BI Processes

Technologies Used

Documentation: DataHub, Atlan, Looker System Activity
Testing: dbt Tests, Great Expectations
Monitoring: Grafana, Looker Audit Logs, Power BI Monitor

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Data Warehousing

Central Data Platforms for Sustainable Insights

We design and implement powerful, scalable data warehouses that consolidate your data, make it efficiently accessible, and create a clean foundation for analytics, reporting, and AI — GDPR-compliant, cloud-ready, and future-proof.

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Key Offerings

Building Modern Cloud Data Warehouses

We design and implement cloud-based data warehouses that are highly available, flexibly scalable, and capable of efficiently integrating diverse data sources.

Our Services

Consulting on platform selection (e.g. BigQuery, Snowflake)
Architecture design: data lakehouse, multi-zone, hybrid models
Performance optimization using partitioning, clustering & caching
Scalable data loading processes and cost control

Technologies We Use

Platforms: Google BigQuery, Snowflake, Redshift, Azure Synapse
Integration: dbt, Fivetran, Stitch, Dataform
Cloud Infrastructure: GCP, AWS, Terraform, Cloud Composer

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Data Modeling & Data Architecture

A solid data architecture is the foundation of usability. We structure your data with clarity and purpose — from operational schemas to management dashboards.

Our Services

Design of star schemas, snowflake schemas, or data vaults
Domain-driven modeling based on business logic
Separation of staging, core, and data mart layers
Scalable designs for new business domains and use cases

Technologies We Use

Modeling Tools: dbt, SQLMesh, Hackolade
Standards: Kimball, Inmon, Data Vault 2.0
Query Optimization: materialized views, caching strategies

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Data Integration & Loading Processes (ETL/ELT)

We implement scalable ETL and ELT processes to ensure your data arrives in the warehouse on time, in full, and with the right quality — whether in real time or batch-oriented.

Our Services

Design of ETL/ELT strategies
Data ingestion via APIs, flat files, databases, or event streams
Automation and recovery strategies (retry/idempotency)
Monitoring and alerting for data issues

Technologies We Use

ETL Tools: dbt, Airbyte, Talend, Apache NiFi
Schedulers: Airflow, Dagster, Prefect
Data Sources: ERP systems, CRMs, IoT, REST/GraphQL APIs

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Data Quality & Governance in the Warehouse

Reliable data quality doesn't happen by chance. We establish standards, testing procedures, and governance structures that ensure your data warehouse remains robust, well-documented, and secure over time.

Our Services

Data-level validation and testing logic
Definition and implementation of data quality rules
Documentation of KPIs, tables, and data transformations
Access management and compliance controls

Technologies We Use

Testing & Validation: dbt tests, Great Expectations, Soda
Lineage & Documentation: DataHub, Atlan, dbt Docs
Security: IAM, Row-Level Security, Data Classification

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Migration of Existing DWH Systems to the Cloud

Migrating Existing DWH Systems to the Cloud

Are you still operating a data warehouse on-premises or on outdated technology? We support you in a gradual, secure, and seamless migration to the cloud – with zero business disruption.

Our Services

Assessment of current state & migration strategy
Data mapping & compatibility checks
Re-engineering of SQL scripts, views & loading processes
Performance and regression testing

Technologies We Use

Migration Tools: Google Data Transfer Service, AWS DMS, Matillion
Analysis & Planning: dbt, SQLLineage, Dataedo
Target Platforms: BigQuery, Snowflake, Redshift

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Data & AI Expertise,

That Unlocks Potential

AI Expertise and Data Management for Measurable Business Success

Scalable Data Architectures for Maximum Efficiency

Scalable Data Pipeline Development

Realtime & Streaming Data Processing

Cloud-Native Data Architectures

Data Integration & Unification

DataOps & Operations

Intelligent Models for Well-Founded Decisions

Model Development

Deep Learning & Neural Networks

MLOps & Model Operations

Explainable AI & Fairness

Time Series Analysis & Forecasting Models

Unlock New Business Potential with Generative AI

Understand Data. Make Informed Decisions.

Dashboard Design & Reporting Solutions

Our Services

Technologies Used

Self-Service BI for Business Departments

Our Services

Technologies Used

Ad Hoc & Exploratory Data Analysis

Our Services

Technologies Used

Advanced Analytics & Decision Intelligence

Our Services

Technologies Used

Analytics Governance & Quality Assurance

Our Services

Technologies Used

Central Data Platforms for Sustainable Insights

Building Modern Cloud Data Warehouses

Our Services

Technologies We Use

Data Modeling & Data Architecture

Our Services

Technologies We Use

Data Integration & Loading Processes (ETL/ELT)

Our Services

Technologies We Use

Data Quality & Governance in the Warehouse

Our Services

Technologies We Use

Migrating Existing DWH Systems to the Cloud

Our Services

Technologies We Use

Building on a Modern Technology Stack

Success Stories From Our Customer Projects

Reliable Partnership For Your Digital Projects

Strong Partnerships

Experience & Innovative Spirit

Software Solutions Tailored to Your Needs

A Clear Approach to Your Project Success

Discovery & Analysis

Strategic Planning

Agile development

Continuous Improvement

Get in Touch, No Strings Attached

Your message

Frequently Asked Questions

Do you also offer support with existing systems or legacy code?

Can we start with a small proof of concept?

What does collaboration look like during a project?

Get to Know Our Additional Areas of Expertise

Software Development & DevOps

Cloud & Infrastructure Automation

Innovation & PoC