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.
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.
Key Services
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 We Use
- 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
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 We Use
- Messaging: Apache Kafka, Google Pub/Sub, RabbitMQ
- Stream Engines: Apache Flink, Kafka Streams, Google Dataflow (Streaming)
- Data Storage: BigQuery, ClickHouse, InfluxDB
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 We Use
- Cloud Platforms: Google Cloud Platform (BigQuery, GCS), AWS (S3, Redshift), Azure
- IaC & Deployment: Terraform, Kubernetes, Helm, GitLab CI
- Security: IAM, VPCs, Secret Management
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 We Use
- ETL Tools: Fivetran, Stitch, Talend, Apache NiFi
- API Integration: REST, GraphQL, gRPC
- Databases: PostgreSQL, MySQL, MongoDB, Snowflake
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 We Use
- CI/CD: GitLab CI, dbt Cloud, Jenkins
- Testing & Monitoring: Great Expectations, Evidently AI
- Orchestration & Automation: Airflow, Dagster, Mage
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.
Key Services
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 We Use
- Frameworks: scikit-learn, XGBoost, LightGBM
- Languages: Python (pandas, NumPy), R
- Evaluation Tools: MLflow, Optuna, SHAP, matplotlib/seaborn
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 We Use
- Libraries: TensorFlow, Keras, PyTorch, Hugging Face Transformers
- Deployment: ONNX, TorchScript, TensorRT
- Infrastructure: GCP AI Platform, Vertex AI, Docker/Kubernetes
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 We Use
- Platforms: MLflow, Vertex AI Pipelines, Kubeflow
- Automation: GitLab CI, Jenkins, Airflow
- Monitoring: Prometheus, Evidently, Grafana
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 We Use
- Frameworks: SHAP, LIME, Alibi Explain
- Tooling: Streamlit, Dash, Power BI integration
- Regulations: GDPR-compliant documentation
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 We Use
- Models: Prophet, ARIMA, LSTM, Temporal Fusion Transformer
- Libraries: statsmodels, GluonTS, Darts, scikit-time
- Visualization: Plotly, Seaborn, Dash
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.
Key Services
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 We Use
- models: OpenAI GPT-4, Gemini, Mistral, Claude, LLama
- Frameworks: LangChain, llamaIndex
- Deployment: Vertex AI, Azure OpenAI, Docker/K8s
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 We Use
- Vector stores: Weaviate, Pinecone, FAISS, Chroma, pgvector
- Indexing & embeddings: OpenAI, Vertex AI Embeddings, Hugging Face
- Frameworks: LangChain, llamaIndex
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 We Use
- Test tools: Promptfoo, ReAct, LangSmith
- Evaluation: GPT-evals, human-in-the-loop feedback
- Frameworks: PromptLayer, LangChain Agents
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 We Use
- Frameworks: Hugging Face Transformers, PEFT, DeepSpeed
- Training environment: Vertex AI Custom Training, SageMaker, Colab Pro
- formats: OpenAI FT, ggml, vLLM, quantized models
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 We Use
- architecture: Isolated model gateways, private GPT, API proxies
- Security: IAM, token obfuscation, secure storage
- Governance: Data loss prevention (DLP), consent management tools
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.
Key Services
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 We Use
- Visualization: Looker, Power BI, Tableau, Google Data Studio
- Data Sources: BigQuery, Snowflake, REST APIs
- Automation: Scheduled Reporting, Cloud Functions
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 We Use
- Modeling: dbt, LookML, Power BI Dataflows
- Governance: Row-Level Security, Role-Based Access
- Enablement: Workshops, Training Sessions, Documentation Platforms
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 We Use
- Tools: Jupyter, Power BI, Tableau
- Languages: SQL, Python (pandas, seaborn, plotly)
- Data Access: DirectQuery, BI Data Layer, Notebooks
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 We Use
- Analytics Engines: BigQuery ML, AWS SageMaker Canvas, Vertex AI
- Visualization: Streamlit, Dash, Power BI Advanced Features
- Techniques: Regression, Scenario Scoring, What-If Analyses
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 We Use
- Documentation: DataHub, Atlan, Looker System Activity
- Testing: dbt Tests, Great Expectations
- Monitoring: Grafana, Looker Audit Logs, Power BI Monitor
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.
Key Services
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
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
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
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
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
Success Stories From Our Customer Projects
Discover our successful projects in the area of AI & Data Management. We show how we create digital solutions with real added value together with our customers.
Contact prediction for Telefónica – service before the call
A machine learning model recognises in near real time why a customer would get in touch – and delivers the right information to the portal and the app beforehand.
Highlights
- Flexible event-chain modelling
- Inference pipeline in near real time
- Data-driven, proactive customer service
Technologies used
Reliable Partnership For Your Digital Projects
With Codify, you have a partner at your side who understands and thinks about your goals. We bring technical expertise, agility, and responsibility to every project.
Strong Partnerships
Through open collaboration and active knowledge sharing, we deliver fast, reliable results that strengthen your company in the long term.Together, we create the basis for sustainable success — for the challenges of today and those of tomorrow.
Experience & Innovative Spirit
We combine proven technologies with the latest tech trends. Our aim is to remain curious, share knowledge and develop pioneering solutions together with our customers.
Software Solutions Tailored to Your Needs
We develop individual software that is precisely tailored to your business processes and goals.Whether it's a web platform, app or backend — we focus on your requirements.
A Clear Approach to Your Project Success
From the initial idea to continuous improvement—our process ensures predictable results. Transparent, collaborative, and always focused on creating real business value.
- 01Explore
Discovery & Analysis
We begin with a deep understanding of your business goals, current challenges, and technical requirements.
- 02Strategy
Strategic Planning
Our experts design a tailored solution and implementation roadmap aligned with your strategic objectives.
- 03Development
Agile Development
We follow iterative development cycles to deliver value fast and remain flexible to changes.
- 04Optimization
Continuous Improvement
We continuously enhance your solution to ensure long-term success and business impact.
Frequently Asked Questions
Do you also offer support with existing systems or legacy code?
Yes, we analyse existing architectures, modernize systems and integrate new functions into existing infrastructures — including step-by-step migration, refactoring and technical debt analysis.
Can we start with a small proof of concept?
Absolutely — a PoC is ideal for testing technical feasibility and minimizing risks. We offer structured PoC processes, with clear objectives, prototypical implementation and a technical basis for decision-making.
What does collaboration look like during a project?
We start with an intensive requirements analysis to identify goals, challenges and project scope. Based on this, we create a tailor-made concept and define the roadmap together. We then work in agile sprints so that you get regular insight into project progress and can provide quick feedback.
Get to Know Our Additional Areas of Expertise
We transform complex challenges into future-proof solutions through specialized know-how in key technology domains.
Software Development & DevOps
With our extensive experience in software development and DevOps, we accelerate your projects, optimize your processes and take your applications to the next level.
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Cloud & Infrastructure Automation
We support you in all phases: from the migration of your systems to building and optimizing your cloud environment, all the way to implementing long-term, secure, and efficient infrastructure automation. We help you harness the full potential of cloud services.
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Innovation & PoC
From the first idea to a validated prototype – we support you in testing new technologies and innovative approaches, helping minimize risks and quickly bring forward-thinking solutions to market.
Learn moreGet in touch directly & without obligation
- ✓Non-binding initial consultation
- ✓Personal advice from our expert team
- ✓Response within 24 hours
