INWT Statistics GmbH
INWT Statistics GmbH is a Berlin-based data science consulting company specializing in tailored analytics, AI solutions, and full-stack data engineering services.
About
INWT Statistics GmbH is a highly specialized data science consultancy founded in 2011 and based in Berlin, Germany. The company delivers custom solutions that enable clients to leverage their valuable data for business success. INWT’s multidisciplinary team offers expertise in data science, statistical modeling, artificial intelligence (including LLMs and machine learning), data engineering, predictive analytics, DevOps, MLOps, and software development. Their solutions range from data validation and analytics, cloud and scalable architectures, to the full implementation and automation of analytics processes. INWT works by emphasizing integrity, honesty, and the highest standards, and it is committed to diversity, tolerance, and democratic values. The firm serves clients from varied industries, offering strategic and technical guidance from proof-of-concept to production and legacy modernization.
Products & Services
- Data analytics and validation
- Predictive analytics
- Statistical modeling and Bayesian statistics
- Implementation and fine-tuning of large language models (LLMs)
- Time series analysis and anomaly detection
- Cloud migration and cloud operations (AWS, Azure, Hetzner, Docker, Kubernetes)
- Custom dashboard and API development (Shiny, Redash, Vue.js)
- Data warehousing and big data solutions
- ETL processes and data pipeline automation
- DevOps and MLOps consulting and implementation
- Machine learning and explainable AI development
- Continuous integration/delivery (CI/CD) solutions
- Legacy modernization and code refactoring
- Business intelligence and reporting automation
Use Cases & Case Studies
- Fraud detection platform development with real-time analytics for a client
- Development of ESG reporting platform for a financial services client
- Automated air pollutant forecasting stack for Berlin’s public administration
- Election prediction model for German federal elections (Bundestagswahl)
- Customer churn analysis for marketing efficiency
- Customer lifetime value modeling (CLV) for e-commerce and retail clients
- Call center staffing optimization using regression and time series analysis
- Customer segmentation using advanced clustering for e-commerce
Partnerships & Collaborations
- Collaboration with the Berlin Senate Department for Mobility, Transport, Climate Protection, and Environment (SenMVKU) for air pollutant forecasting in Berlin
- Project collaborations with academic institutions such as Freie Universität Berlin and BHT Berlin
- Business case implementations with clients in finance, eCommerce, media, and public sector
Awards & Recognition
-