AI Solutions & Development

AI Solutions

We develop data science, machine learning, and AI solutions tailored to your requirements. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.

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Your Expert for Custom AI Solution Development

We develop and operate customized data and AI Solutions

Our team has already implemented various AI solutions across different industries, bringing the necessary expertise to support you in the development and operation of innovative AI solutions. We accompany you either end-to-end or where you need us. Our expertise ranges from requirements engineering to data engineering to the development of AI models and MLOps. According to your requirements, we develop the AI model exclusively for your specific applications or make use of existing off-the-shelf models. Our focus is on ensuring that our AI solutions precisely meet your expectations, provide value to users, and can be operated and maintained smoothly. We support you in adapting processes and organizational structures and resolve any challenges that may hinder the success of the AI project.

Our core competencies:

  • Generative AI
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Forecasting
  • Computer Vision
  • Anomaly Detection
  • Customer Analytics
  • Pricing
  • Recommender Systeme
Our process

From idea to completed AI Solution

Our expertise spans the entire product lifecycle.
From the idea to a productive data science or AI solution.

Our services for AI Solutions

Requirements Engineering

We understand the requirements of your stakeholders and ensure that our AI solutions meet them and thus generate sustainable added value.

Data Engineering & Architecture

We develop robust data architectures and pipelines that form the basis for successful and data science and AI systems.

Machine Learning & AI Model Development

Our team of experts develops data science, machine learning and AI models for you, which are needed to solve your challenge.

MLOps & DevOps

Right from the start, we help you operate, maintain, develop and scale your AI solution and create appropriate structures.

Cloud, hybrid & on-premises

We implement our solutions in your IT infrastructure according to your require­ments — both on-premises, hybrid and in the cloud.

Front-end Development & System Integration

Depending on the application, we develop appealing dashboards or provide interfaces for integration into your existing systems.

Process & Change Management

We help you adapt processes and structures and reduce reservations so that your AI solutions achieve their full value.

Project & Product Management

In addition to technical implementation, we also take over the entire project and product management on the business side if required.

Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Implemented customer projects

  • Forecasting

Optimized Liquidity thanks to Forecasting Engine

Inaccurate liquidity forecasts hampered the creation of effective financial strategies for our client. Our forecasting engine, which generates predictions for a variety of liquidity time series, significantly increases the accuracy and speed of forecasts, enabling substantial cost savings.

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Optimized Liquidity thanks to Forecasting Engine
Case study
  • Other
  • Customer Analytics

Prediction of Online Upselling

In this project, we developed a model capable of predicting users' affinity for a specific online product with high probability.

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Prediction of Online Upselling
Case study
  • Insurance
  • Customer Analytics

Prediction of Customer Churn

In this project, we developed a model based on historical customer data to predict customer churn and identify its influencing factors.

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Prediction of Customer Churn
Case study
  • Insurance
  • Customer Analytics

Upselling of Insurance Policies

As part of an annual upselling campaign, we collaborated with our client to develop a model for predicting product-affine customers. The model was subsequently used to optimize customer selection.

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Upselling of Insurance Policies
Case study
  • Transport & Logistics
  • Pricing Analytics

Dynamic Pricing in Aviation

In close collaboration with our client, we reviewed and optimized a newly developed model for calculating price elasticities in this project.

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Dynamic Pricing in Aviation
Case study
  • Retail & Consumer
  • Forecasting

Optimization of Retail Disposition

In this exciting project, we developed a model-based correction mechanism to prevent abnormal ordering processes during the Christmas season.

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Optimization of Retail Disposition
Case study
  • Transport & Logistics
  • Forecasting

Demand Forecasting Logistics

In this project, we developed a machine learning model factory for forecasting customer demand in the B2B sector and implemented it into the client's IT infrastructure.

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Demand Forecasting Logistics
Case study
  • Retail & Consumer
  • Forecasting

Sales Forecasting with Deep Learning

In this exciting project, we developed a sales forecasting engine based on deep learning models to predict the expected sales for the next three months.

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Sales Forecasting with Deep Learning
Case study
  • Retail & Consumer
  • Pricing Analytics

Price Elasticities in Retail

In this project, we collaborated with our client to develop a method for estimating store-specific price elasticities and influencing factors.

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Price Elasticities in Retail
Case study
  • Transport & Logistics
  • Forecasting

Predictive Steering in the Aviation Industry

To assess future risks in an airline's operations, we worked with the client to develop an application that uses machine learning to provide predictive guidance for operations.

More
Predictive Steering in the Aviation Industry
Case study
  • Automotive
  • NLP

Procurement-Suite

In this project, we developed a comprehensive procurement suite to support buyers, guiding the purchasing process from finding relevant suppliers to price negotiation.

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Procurement-Suite
Case study
  • Transport & Logistics
  • Forecasting
  • Frontend Solution

Analysis of freight traffic flows in R Shiny

In this project, we supported our client in the production and evaluation of forecast results for freight traffic flows. An R Shiny application was developed for interactive graphical and tabular analyses.

More
Analysis of freight traffic flows in R Shiny
Case study
  • Other
  • NLP

Session Data Analysis

To evaluate user satisfaction with a search engine, log data was analyzed in this project. Through the application of machine learning, we were able to extract and evaluate search sessions.

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Session Data Analysis
Case study
  • Retail & Consumer
  • Other

Marketing Analysis

To reliably assess the individual impact of marketing channels on our client's core business, we developed statistical models based on historical marketing and order data.

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Marketing Analysis
Case study
  • Insurance
  • Forecasting

Sales Forecasting

To project rated production in the insurance business on a monthly and yearly basis and for various distribution channels and product categories, we developed a sales forecasting engine for our client.

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Sales Forecasting
Case study
  • Automotive
  • Frontend Solution
  • MLOps

Application for creating Risk Reports

To address the issues of missing stability and lack of interactivity in risk reporting, an R Shiny application integrated into a CI/CD pipeline was developed. The goal was to meet industry-specific security standards while simultaneously improving the user experience.

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Application for creating Risk Reports
Case study
  • Health & Pharma
  • NLP

Covid Research Support with NLP

In this project, a solution was developed to facilitate the organization-wide research of SARS-CoV-2 by automating the analysis of documents using NLP.

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Covid Research Support with NLP
Case study
  • Retail & Consumer
  • Customer Analytics

Next Basket Prediction with Deep Learning

In this project, we developed an innovative recommender system for basket prediction based on deep learning.

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Next Basket Prediction with Deep Learning
Case study
  • Retail & Consumer
  • Customer Analytics
  • Explainable AI

Customer Churn & Retention Prediction

In this project, we developed an automated system for managing customer churn and reactivation.

More
Customer Churn & Retention Prediction
Case study
  • Industry
  • Customer Analytics

Customer Analytics Suite

In this project, we implemented a comprehensive customer analytics suite for our client, designed to support sales and marketing activities with data-driven insights in the future.

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Customer Analytics Suite
Case study
  • Automotive
  • MLOps

Automated Deployment of R Shiny Applications

To implement a controlled and automated process for the deployment of Shiny applications, we designed and implemented a CI/CD pipeline solution for our client.

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Automated Deployment of R Shiny Applications
Case study
  • Insurance
  • Customer Analytics

Prediction of Online Conversions

In this project, we developed a machine learning model to predict conversion potential based on individual customer journey data on the client's side.

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Prediction of Online Conversions
Case study
  • Insurance
  • Customer Analytics

Prediction of Next Best Product

To optimize the upselling potential of existing customers, we developed a model to predict product affinities in the insurance sector for this project.

More
Prediction of Next Best Product
Case study
  • Automotive
  • Quality Analytics

Prediction of Quality Issues

In this project, we developed a machine learning algorithm that identifies emerging quality issues in the field and prioritizes them by importance.

More
Prediction of Quality Issues
Case study
  • Retail & Consumer
  • Anomaly Detection

Anomaly Detection in Retail Data

To ensure optimal data quality, we developed a model for our retail client that automatically detects and corrects unusual data points in sales data.

More
Anomaly Detection in Retail Data
Case study
  • Energy
  • Forecasting

Load Forecasting with Deep Learning

For our client, we developed and validated a deep learning model to forecast daily electricity consumption in various control areas in Germany.

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Load Forecasting with Deep Learning
Case study
  • Telecom
  • Fraud Detection

Identification of Bot Calls

In this project, we developed a machine learning model for our client to identify automated bot calls used to detect telecommunications routes to Europe.

More
Identification of Bot Calls
Case study
  • Retail & Consumer
  • Forecasting

Sales Forecasting in Retail

In this proof of concept, we developed a statistical forecasting model for a client in the retail sector to predict sold units at the merchandise group level.

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Sales Forecasting in Retail
Case study
  • Finance
  • Other

Event Study of Stock Portfolios

In this project, we conducted a comprehensive event study in R based on historical stock time series and a selection of predefined market-relevant events.

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Event Study of Stock Portfolios
Case study
  • Automotive
  • Forecasting

Sales Forecasting Automotive

In this project, we developed a machine learning model for car sales forecasting at both the overall and type-class levels for an international automotive corporation and implemented it into the client's IT infrastructure.

More
Sales Forecasting Automotive
Case study
  • Retail & Consumer
  • Pricing Analytics

Pricing Analytics in Retail

In this project, we supported an international retail corporation in the introduction of pricing analytics, both methodically and operationally, over a period of more than a year.

More
Pricing Analytics in Retail
Case study
  • Automotive
  • Customer Analytics

Customer Segmentation Automotive

In this project, we developed a statistical model for customer segmentation based on panel survey data from our client, which specifically groups and analyzes customers with similar needs.

More
Customer Segmentation Automotive
Case study
  • Transport & Logistics
  • Forecasting
  • Frontend Solution

R Shiny App for Logistics Disposition

In this project, we developed an interactive web app for the disposition of transport demands using R Shiny and JavaScript, and implemented it into our client's IT landscape.

More
R Shiny App for Logistics Disposition
Case study
  • Transport & Logistics
  • Forecasting

Scaling of Forecasting Models

In this project, we implemented an existing model factory for demand forecasting of over 10,000 entities in parallel into our client's IT infrastructure.

More
Scaling of Forecasting Models
Case study
  • Health & Pharma
  • Quality Analytics

Quality Analysis in Endoprosthetics

In this project, we evaluated a long-term study on the quality and efficacy of a permanently implanted device for an international medical devices corporation.

More
Quality Analysis in Endoprosthetics
Case study
  • Health & Pharma
  • Quality Analytics

Limit of Detection Analysis Medical Devices

In this project, we tested and compared the detection limits for mycoplasma across various devices for a European company.

More
Limit of Detection Analysis Medical Devices
Case study
  • Transport & Logistics
  • Forecasting

Prediction of Flight Delays

In this project, we collaborated with our client to develop a machine learning model that predicts flight delays to support the ground operations team.

More
Prediction of Flight Delays
Case study
  • Automotive
  • Customer Analytics
  • Frontend Solution

Big Data Analysis Tool Automotive

For this project, we developed a scalable analysis tool for load collective and vehicle data in the terabyte range for our client.

More
Big Data Analysis Tool Automotive
Case study
  • Automotive
  • Customer Analytics
  • Frontend Solution

Big Data Analysis Dashboard

For this project, we developed a scalable online dashboard for our client in the field of big data analysis and telemetry, covering the usage of vehicles worldwide.

More
Big Data Analysis Dashboard
Case study
  • Automotive
  • MLOps

Adoption of Kubernetes Operating Platform

In this project, we supported our customer in the company-wide introduction of Kubernetes as an operating platform for cloud applications, starting with a proof of concept (PoC) and ending with the completion of a minimum viable product (MVP).

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Adoption of Kubernetes Operating Platform
Case study
  • Health & Pharma
  • MLOps

Data Product Operationalization

In this project, we developed various deployment scenarios for an existing forecasting model of our client.

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Data Product Operationalization
Case study
  • Automotive
  • Forecasting

Forecast of Residual Value for Leased Vehicles

Together with our customer, an international automotive group, we developed a tool for predicting residual values of leased vehicles in this project.

More
Forecast of Residual Value for Leased Vehicles
Case study
  • Automotive
  • Pricing Analytics

Discount Optimization

The project focused on the data-driven optimization of distributing discount budgets across individual vehicles for targeted inventory management.

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Discount Optimization
Case study
  • Retail & Consumer
  • Recommendation Systems

Recommender System in E-commerce

To enhance the user experience in the online shop justDrink, we developed a recommender system for Feldschlösschen AG, the largest brewery and beverage retailer in Switzerland, which recommends relevant products to customers based on their shopping cart.

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Recommender System in E-commerce
Case study
  • Automotive
  • Explainable AI
  • Forecasting

Time Series Forecasting Engine

In this project, we collaborated with our client to develop and implement a forecasting engine for arbitrary time series data.

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Time Series Forecasting Engine
Case study
  • Other
  • NLP

Social Media recruiting with NLP

As part of the project, a system for the automatic identification of candidates for job postings was implemented and extended to generate job postings.

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Social Media recruiting with NLP
Case study
  • Telecom
  • Anomaly Detection

Anomaly Detection in VoIP Networks

In this project, we developed a fully automated near-time detection of anomalies in VoIP time series data.

More
Anomaly Detection in VoIP Networks
Case study
  • Insurance
  • GenAI

Developing an Interactive Chatbot for Efficient Fleet Vehicle Damage Regulation

We developed an interactive, 24/7 available chatbot that guides customers through the process of reporting damages, processes these reports, and thus relieves the call agents.

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Developing an Interactive Chatbot for Efficient Fleet Vehicle Damage Regulation
Case study
  • Transport & Logistics
  • Pricing Analytics

Dynamic Pricing with Reinforcement Learning

In this project, we developed an autonomous pricing system that can automatically control the bid prices for continental flights.

More
Dynamic Pricing with Reinforcement Learning
Case study
  • Automotive
  • Forecasting

Demand Forecasting

To increase the accuracy of our client's demand planning, we developed a demand forecasting engine that combines a wide variety of machine learning and deep learning algorithms to predict the demand for over 20,000 products within the next 24 months.

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Demand Forecasting
Case study
  • Automotive
  • Pricing Analytics

Market Segmentation in Aviation

In this project, we calculated market-specific price elasticities using a novel methodological approach to achieve a stronger differentiation of various customer segments.

More
Market Segmentation in Aviation
Case study
  • Retail & Consumer
  • Explainable AI
  • Frontend Solution
  • Pricing Analytics

Price Simulation in Retail

In this project, we developed a price simulation tool for our client that predicts the expected sales volume in the coming weeks based on the price and various other influencing factors.

More
Price Simulation in Retail
Case study
  • Automotive
  • Forecasting

Prediction of Investment Costs

In this project, we developed a machine learning model for our client to predict annual costs and the timing of expected payments for investment projects.

More
Prediction of Investment Costs
Case study
  • Other
  • Computer Vision

AI-based handwriting recognition

In this project, we developed an AI-based solution to support human work by automatically recognizing and digitizing hard-to-read handwriting.

More
AI-based handwriting recognition
Case study
  • Industry
  • GenAI

Real-time Assistance for Customer Service: How Generative AI Revolutionizes Customer Support

With the help of generative AI, an AI tool was introduced for the automated processing of customer queries in Geberit's Customer Support.

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Real-time Assistance for Customer Service: How Generative AI Revolutionizes Customer Support
Case study
  • Other
  • Computer Vision
  • Explainable AI

Tagging with the help of Deep Learning

For the Städel Museum in Frankfurt, we developed a deep learning model that predicts tags for artworks.

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Tagging with the help of Deep Learning
Case study
  • Automotive
  • Recommendation Systems

Supplier Recommendation Tool

In this project, we predicted the expected failure times of components and engine parts by applying machine learning and statistical models.

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Supplier Recommendation Tool
Case study
  • Health & Pharma
  • Computer Vision

Faster and more precise automated tumor detection

A computer vision model automatically determines the precise extent of brain tumors in MRI images to refine and accelerate therapeutic decisions.

More
Faster and more precise automated tumor detection
Case study
  • Automotive
  • Predicitive Maintenance

Predictive Maintenance in Automotive

In this project, we predicted the expected failure times of components and engine parts by applying machine learning and statistical models.

More
Predictive Maintenance in Automotive
Case study
  • Automotive
  • Customer Analytics

EBIT Forecasting

In this project, we developed and implemented a machine learning model to forecast the expected EBIT (Earnings Before Interest and Taxes) for the next one to three months.

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EBIT Forecasting
Case study
  • Industry
  • Customer Analytics

Classification of Emails in Customer Support

To enable our client to handle customer service inquiries more efficiently, we developed a system using deep learning and NLP that automatically routes emails to the appropriate departments.

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Classification of Emails in Customer Support
Case study
  • Health & Pharma
  • GenAI

Efficiency improvement in Software Development using Generative AI

To reduce the effort required for data integration, we developed a language model for our client that can better search existing programming code and generate suggestions.

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Efficiency improvement in Software Development using Generative AI
Case study
  • Health & Pharma
  • GenAI

Efficiency Improvement through automated Extraction of Data from PDF Documents

In this project, AI enabled the automated extraction of relevant data from PDF documents of clinical studies, resulting in a 500-fold increase in speed, more precise results, and a significant reduction in manual effort.

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Efficiency Improvement through automated Extraction of Data from PDF Documents
Case study
  • Other
  • GenAI

Improved recommendations for scholarly literature using GenAI

By using a specially pre-trained language model, the search results on the website of a provider of legal texts in the field of tax law were significantly improved.

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Improved recommendations for scholarly literature using GenAI
Case study
  • Health & Pharma
  • GenAI

Personalized Employee Development using Generative AI

An interactive chatbot based on OpenAI GPT-3 supported the introduction of a new agile framework and increased its acceptance and usage within the company.

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Personalized Employee Development using Generative AI
Case study
  • Automotive
  • Data Engineering

Introduction of a standardized framework for data integration at an automotive manufacturer

We developed a standardized framework for an automotive manufacturer to integrate data sources into a data lakehouse more efficiently and reliably.

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Introduction of a standardized framework for data integration at an automotive manufacturer
Case study
  • Automotive
  • Data Engineering
  • Frontend Solution
  • Pricing Analytics

Optimizing the supply chain pricing strategy for an automotive supplier

We optimized the supply chain pricing strategy for an automotive supplier to achieve greater transparency in cost structures, optimized margins and greater efficiency throughout the supply chain.

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Optimizing the supply chain pricing strategy for an automotive supplier
Case study
  • Energy
  • Data Engineering
  • Frontend Solution

Implementation of a data analysis platform for the renewable energy sector

We implemented a data analysis platform for the renewable energy sector that allows our customer to process and analyze data faster and more efficiently, improving decision-making companywide.

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Implementation of a data analysis platform for the renewable energy sector
Case study
  • Automotive
  • Data Engineering
  • Recommendation Systems

Increasing in-car service sales through a personalized recommendation system

We developed a personalized recommendation system for a car manufacturer that increases in-car service sales and improves customer satisfaction.

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Increasing in-car service sales through a personalized recommendation system
Case study
  • Industry
  • Anomaly Detection
  • GenAI

Optimizing Production Processes with AI-Powered Anomaly Detection

We developed a camera-based AI system that detects anomalies in production in real time, thereby increasing production speed and preventing machine damage.

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Optimizing Production Processes with AI-Powered Anomaly Detection
Case study
  • Health & Pharma
  • Deep Learning

AI-Based Detection of Drug Interactions

We developed an approach to use causal machine learning to analyze complex drug-drug interactions in heterogeneous patient populations and identify potential safety signals.

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AI-Based Detection of Drug Interactions
Case study
  • Other
  • Frontend Solution
  • GenAI

AI in education: creating and evaluating texts more efficiently

In a PoC for an educational service provider, we showed that assessment and text creation processes can be automated and standardised with AI, which reduces the workload of teachers and can sustainably optimise the learning experience of students.

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AI in education: creating and evaluating texts more efficiently
Case study
  • Industry
  • GenAI

ChatGPT & RAG: Uniting Knowledge Management and Generative AI

We developed and implemented an AI chatbot that combines the power of generative AI with access to the internal knowledge database (RAG).

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ChatGPT & RAG: Uniting Knowledge Management and Generative AI
Case study
  • Automotive
  • Reporting

A standardised reporting platform for the automotive industry

By leveraging cutting-edge web technologies, we developed a customized platform that simplifies access, usage, and management of data science reports while also being expandable.

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A standardised reporting platform for the automotive industry
Case study
  • Automotive
  • Frontend Solution

Efficient Fleet Planning through Frontend Data Visualization

We developed a custom frontend that equips our client for future challenges in strategic portfolio planning.

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Efficient Fleet Planning through Frontend Data Visualization
Case study
  • Energy
  • Frontend Solution

How a Monitoring App optimizes Offer Processing

By developing a monitoring app, we helped our client make transparent and informed decisions through new insights, save time through automated processes, and increase efficiency thanks to powerful database and API integration.

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How a Monitoring App optimizes Offer Processing
Case study
  • Automotive
  • GenAI

Production Data Analysis with a Personalized AI Assistant

Our client sought a solution to access production data in real-time and natural language. We developed a generative AI assistant that makes complex data user-friendly and accessible without deep technical knowledge.

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Production Data Analysis with a Personalized AI Assistant
Case study
  • Health & Pharma
  • NLP

Intelligent event analysis and information retrieval with AI

Our client was looking for a solution to extract important events from long, unstructured reports at their worldwide locations. We developed a powerful search system that seamlessly integrates into existing workflows and significantly optimizes information processing.

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Intelligent event analysis and information retrieval with AI
Case study
  • Other
  • Computer Vision

Optimizing Revenue Streams: Vendor Selection for AI-Based Product Recommendations

We assisted our client, a large German media company, in optimizing their video streaming platform as a revenue source. By developing a vendor assessment, we were able to find the best provider for AI-based product recommendation services and save 50% of the estimated costs.

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Optimizing Revenue Streams: Vendor Selection for AI-Based Product Recommendations
Case study
  • Retail & Consumer
  • GenAI

An AI Chatbot for everyone: How hagebauGPT boosts Efficiency and Creativity

We developed an internal AI chatbot for hagebau, enabling employees to securely chat with data and efficiently handle time-consuming tasks.

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An AI Chatbot for everyone: How hagebauGPT boosts Efficiency and Creativity
Case study
  • Anomaly Detection
  • Predictive Maintenance

Enhancing Operational Performance through Anomaly Detection and Predictive Maintenance

We developed a model for our customer to minimize machine downtime and increase production efficiency. Early anomaly detection results in predictive maintenance, which saves costs and reduces unplanned downtime.

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Enhancing Operational Performance through Anomaly Detection and Predictive Maintenance
Case study

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

Agentic AI

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AI Act Compliance Solution

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CustomGPT Chatbot

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AI Strategy Whitepaper

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Generative AI

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Customer Service Automation

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Services

Reach your goals faster with our pre-built AI Solutions

Accelerate your AI journey with our pre-built, yet highly customizable generative AI solutions. We implement them in no time within your own IT infrastructure, tailor them to your specific require­ments, integrate relevant data sources, and incorporate existing applications—all while fully ensuring data security and privacy.

CustomGPT Chatbot

The GPT chatbot enables companies to unlock the full potentials of generative AI. It can be tailored to specific specific business require­ments through data connection, branding or customized behavior.

Learn more
AI Negotiation Agent

Our AI solution uses historical and external data to develop autonomous negotiation strategies with suppliers, seamlessly inte­grating into your procurement systems or automating the process via email.

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AI Email Assistant

The AI Email Assistant enables companies to unlock the full potential of AI for email auto­mation. It can be applied to categorize emails, extract information, forward emails and draft responses.

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Data Intelligence 
Assistant

Your chatbot interface for data-driven decisions. Type in a request and the assistant retrieves the internal information you need and transforms it into actionable insights - 100% data-secure and intuitive.

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Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Why statworx?

statworx is your reliable partner for customized Data and AI solutions precisely tailored to your requirements.

With over 10 years of experience in developing and operating more than 500 Data Science and AI projects, we possess unique know-how and technological excellence across all industries and sectors.

01
Cutting-edge expertise

As a technology-independent service provider, we can unconditionally address your requirements and imple­ment the latest AI innovations. Whether it's cloud, on-premises, or on a specific data platform, we maximize your possibilities.

02
10+ years of Data Science and AI excellence

We have unique know-how from developing and operating more than 500 data science and AI solutions. Our long-standing customers include well-known companies such as Mercedes-Benz, Merck and MediaMarktSaturn.

03
100% for your success

We focus on your goal, achieve results quickly, work agilely and on equal footing. Mutual trust is a central element of our cooperation. Working together with you is our focus and has the highest priority for project success.

04
Focus on sustainable value

Our focus is on delivering sustainable value through each of our AI software solutions. To achieve this, in addition to technical development, we also support you with strategic issues and the implementation of con­tinuing education initiatives in the area of data and AI.

Interested in custom AI Solutions?

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

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Daniel Lüttgau
Daniel Lüttgau
Head of AI Development
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Frequently asked questions and answers

What types of AI Solutions does statworx offer?

statworx offers a wide range of tailored AI solutions specifically designed to meet the unique needs of its clients. These solutions include generative AI, which can create creative content such as text, images, or music, as well as large language models (LLMs) used in the field of natural language processing (NLP). Other areas include forecasting models that predict future events or trends based on historical data, computer vision technologies for interpreting and analyzing visual data, and anomaly detection systems that identify unusual patterns in data and uncover potential issues or fraud cases. Additionally, statworx provides solutions for customer analytics to enhance marketing strategies and business decisions, pricing optimization to maximize revenue and profit, and recommender systems that offer personalized product recommendations. The solutions are either developed based on specific customer requirements or existing models are adapted to ensure the best possible benefits.

How does statworx support companies in implementing AI Solutions?

statworx accompanies companies throughout the entire lifecycle of an AI project, from the initial idea to a productive solution and beyond. The process begins with requirements engineering, where the stakeholders' needs are understood and documented to ensure that the AI solutions generate sustainable value. Next, statworx develops robust data architectures and pipelines in the field of data engineering & architecture that serve as the foundation for successful data science and AI systems. The expert team at statworx develops customized data science, machine learning, and AI models to solve specific challenges. MLOps & DevOps ensure the smooth operation, mainten­ance, further development, and scaling of AI solutions from the outset. Depending on client requirements, the solutions are implemented into the respective IT infra­structure, whether in the cloud, hybrid, or on-premises. For user-friendliness, statworx develops appealing dashboards and interfaces to integrate AI solutions into existing systems. Moreover, statworx assists companies in adapting processes and structures and overcoming reservations so that AI solutions can fully realize their value. If needed, statworx also takes on complete project and product management on the business side to ensure a smooth process.

How does statworx ensure that the developed AI Solutions are successful in the long term?

statworx places great importance on ensuring that the developed AI solutions are not only successful in the short term but also deliver sustainable value in the long term. This is achieved through a holistic approach that encompasses both technical implementation and strategic considerations and training initiatives. From the outset, the operation, maintenance, further development, and scaling of AI solutions are considered, and appropriate structures are created. Close collaboration with clients and understanding their specific requirements ensures that the solutions precisely meet their expectations and provide value to users. Additionally, statworx assists in adapting processes and organizational structures and overcoming reservations to resolve any challenges that may hinder the success of the AI project. Furthermore, statworx offers training and education to enhance data literacy and understanding of AI within the com­pany. This helps companies effectively utilize the solutions and continuously benefit from the advantages of AI technologies. Through this comprehensive support, statworx ensures that the developed AI solutions are successful in the long term and deliver sustainable value to companies.

Daniel Lüttgau
More questions?
Daniel Lüttgau
Head of AI Development
projects@statworx.com

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