Our applied Quantitative Methods have their roots in:
Econometrics, Regression Analysis
Operations Research
Statistics and Stochastics
Neural Networks & AI
Data Science Toolset
We are using state-of-the-art technologies to deliver our projects and services
Modern web application
development with Angular and similar frameworks
We are used to work with big table systems like MongoDB, Cassandra, DynamoDB
We use Java EE, Spring and others to realize scalable backend systems for data interfacing
Apache Kafka and others allow modern high-performance data processing for Big Data system and analytics
Using GIT, Jenkins, Docker, Cloud infrastructure to realize continuous development and delivery
Business Intelligence
Business Artificial Intelligence
Decision Making
Future Thinking
Decision Trees
Clustering
Trained Machines
Artificial Intelligence
Search Bots
Natural Language Processing
Content Analysis
Applications for Market Segmentation
Social Media Research
Neo4j, Gephi, R
Timeseries Forecasting R & Python
Econometric Calculations
Portfolio Optimisation
Simulations