GiniBooster

We specialize in analytics, automation, and financial decision-making. We help banks, financial institutions, and lending organizations optimize risk, accelerate the decision-making process, and enhance the efficiency of their credit portfolios.

Our key areas of expertise:

Development of scoring models for accurate assessment of customer creditworthiness
Parsing and processing data from any sources to generate high-quality variables
Support and implementation of credit scoring systems tailored to business logic

Scorecard building

Scoring Model Development

We design accurate and reliable scoring models that help banks, financial institutions, and lending organizations effectively assess borrower risk. Our approach is based on deep data analysis, modern statistical methods, and machine learning techniques.

What we offer:

Development of classical logistic and ML-based scoring models
Analysis of behavioral and credit data to improve prediction accuracy
Optimization of scoring rules to reduce default rates

The result:

Improved quality of credit decision-making
Optimization of application approval rates
Minimization of financial risks and enhancement of the client portfolio

Feature engineering

Parsing Data from Any Source and Feature Generation for Models

We help businesses automate the collection, processing, and transformation of data from any source — websites, databases, APIs, PDF documents, and more. Our solutions enable rapid extraction of valuable features for building analytical models, scoring systems, and forecasts.

What we do:

Parse websites, government registries, financial statements, social media, and CRM systems
Clean and structure data into a unified format
Generate new features (feature engineering) for machine learning models
Automate data collection and updating processes

The result:

Automated access to up-to-date information for decision-making
Improved accuracy of scoring and analytical models
Reduced manual effort and minimized errors in data collection

Decision making system

Full Support and Implementation of Credit Decision-Making Systems

We help automate and optimize the credit decision-making process. Our solution is designed to support flexible credit policies and integrates seamlessly with both external and internal data sources.

What we offer:

Development and configuration of decision-making rules
Integration with your IT systems and APIs
Ongoing support and adaptation to market changes

The result:

Fast and efficient decision-making
Risk minimization
Flexibility and scalability
Optimization of the credit portfolio

Transparency and Reliability

We guarantee high quality, strict adherence to deadlines, and data security

Flexible Approach

We tailor our solutions to the specifics of your business to ensure maximum efficiency

Comprehensive Support

Our team supports you at every stage — from development to implementation and ongoing optimization

Innovative Technologies

We leverage cutting-edge machine learning methods, AI analytics, and automated decision-making systems.

Pricing

1 API request (scoring model) – $0.10
1 API request (feature generation) – $0.03 (The scoring model includes feature generation)
Scoring model development for testing – from $799.00 (70% of the amount will be credited toward future requests)
Parsing XML, JSON, and feature generation – from $299.00 (depending on the structure of the data source)
Custom requests (full decision-making systems, transaction categorization, PDF parsing, etc.) – handled on a case-by-case basis.

FAQ

What data is needed to build a scoring model?

We use historical credit data, behavioral indicators, and external sources such as government registries and financial statements. We can also automatically collect and process the data for you.

Can your system be integrated with our CRM or internal database?

Yes, we offer full integration via API or direct connection with your IT systems. Our solutions are scalable and easily adaptable to any infrastructure.

How accurate are your scoring models?

We use modern machine learning and statistical algorithms, which allow us to achieve high predictive accuracy — AUC on test datasets often exceeds 0.80. We also continuously optimize the models based on market changes.

Can we test the solution before going live?

Yes, we offer scoring model development for testing starting from $799.00, with 70% of the amount credited toward future use. This allows you to evaluate the model’s performance before full implementation.

What types of data sources do you support for parsing?

We work with a wide variety of sources — APIs, databases, PDF documents, XML, JSON, websites, social media, and CRM systems. We adapt our solution to your data structure to ensure maximum efficiency.

Still have questions?

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