Data Systems
Web scraping expertise
Karol Oleszek Data Systems offers advanced web scraping software solutions, meticulously engineered to fuel a spectrum of applications, including model development, analytical endeavors, and decision-making processes. Our software draws from a diverse array of integrated data sources, showcasing our adeptness across various domains:
- Data sourced from central banks
- Comprehensive macroeconomic datasets
- Information gleaned from real estate websites
- Insights from healthcare providers
- Venture capital intelligence
- E-commerce data streams
- Government agency repositories
- Legal documents and disclosures
- Press releases from authoritative sources
- Telecommunications, media, and technology (TMT) data
- Railways sector statistics
- Air travel market analytics
- Semiconductor industry data
- Energy, oil & gas sector insights
- Data from stock exchanges
- Consumer goods market information
Data integration for capital markets
Karol Oleszek Data Systems has provided its data integration expertise to over 100 trading and asset management teams, collectively managing assets exceeding $52 billion across an array of investment strategies encompassing equities, systematic trading, venture capital, and macroeconomic analysis. These teams are situated in various prominent global financial hubs, including New York City, London, Chicago, Dubai, Paris, Tokyo, Taipei, Sydney, and Hong Kong.
The comprehensive suite of services rendered includes:
News Sources Integration
Impeccable integration of diverse news sources, enabling access to critical information in real time.
Analytical Fusion of Multiple Datasets
The skillful merging of multiple datasets, resulting in a holistic and insightful perspective on market dynamics.
Custom Reporting and Dashboarding
Tailored reporting and dashboard solutions, delivering a sophisticated means to monitor and interpret data effectively.
Computer Vision Assisted Data Mining
The application of advanced computer vision techniques to facilitate data mining from various sources.
Leveraging Large Language Models (LLMs) for Unstructured Data Parsing
Harnessing the power of Large Language Models for the parsing of unstructured data sources, enhancing data accessibility and comprehension.
Real-Time Alerts and Data Streaming
The implementation of real-time alert systems and data streaming mechanisms, ensuring that timely insights are available for informed decision-making.
Large scale industrial control systems
In the realm of large-scale industrial control systems, specifically within the field of metallurgy, AI-powered controllers have been successfully implemented to optimize operations in copper smelters. These controllers, developed as a result of the inaugural hackathon organized by KGHM Polska Miedź S.A. and subsequent offset with the Data Drivers team, utilize historical data to predict heat losses in the furnace reaction shaft with nearly 100% accuracy.
Furthermore, they autonomously adjust parameters to stabilize heat losses, enhancing the efficiency of copper smelting. This innovative approach has resolved the energy levels stabilization issue in copper blast furnaces, with a predictive model and controller combination. Notably, this solution has been fine-tuned and is now operational in a $675 million blast furnace, making it one of fewer than five such installations worldwide.
Read more in press release.
Real estate analytics technology
Dataset Sourcing
Comprehensive and reliable dataset sourcing ensures access to a wide range of real estate data, including property information, market trends, historical sales data, and more, enabling informed decision-making in the real estate market. We hold experience in handling, deduplicating, cleaning and transforming real estate market datasets from international markets.
Automated Valuation Models (AVMs)
Leveraging advanced algorithms and data analytics, Automated Valuation Models provide accurate and real-time property valuations. These models consider factors such as property characteristics, location, and market conditions, making them invaluable for property appraisal, investment analysis, and decision-making.
Read about scalable AVM model applied to international housing markets.
Geospatial Models and Analytics
Seamless integration with Web Map Services (WMS) and OpenStreet Map (OSM) data enables us to enhance the geographical information available. This integration allows for interactive mapping, spatial visualization, and the overlay of property data on detailed maps, facilitating a deeper understanding of the real estate environment.
