GiniMachine
It combines historical data with the best machine learning techniques to create advanced scoring models and help you make accurate decisions. At GiniMachine we provide you with a scoring robot that automatically learns from your datasets and creates analytical-based models that predict customers’ behavior with a Gini coefficient of 0.62 and higher.
25/12/2023
As we celebrate the festive season, we want to extend our warmest wishes to all our followers. May your holidays be filled with joy, peace, and prosperity.🎄✨
This year has been a remarkable journey for us at GiniMachine, where we've seen the power of AI transform decision-making in finance and beyond. We're grateful for your support and engagement, and we look forward to continuing our journey together in the new year.
Here's to a future of innovative solutions, smarter decisions, and greater successes. Merry Christmas and a Happy New Year!
14/07/2023
Currently valued at $2.7 billion (2022), the for fraud detection and prevention industry is set to grow to $10.4 billion by 2027 — a growth of 285%. So how does fraud detection currently work, and how do AI solutions help? Let’s take a look.
Why You Need to Onboard AI for Fraud Detection Now | GiniMachine The AI for fraud detection industry is set to grow to $10.4 billion by 2027 — a growth of 285%. So how does finance fraud detection currently work, and how do AI fraud detection solutions help? Let’s take a look.
02/12/2022
GiniMachine AI announces a partnership with Vector ML Analytics to enable banks and financial institutions across the globe to implement AI and ML in historical data analysis for mitigating risks. Read more in our blog post:
GiniMachine partners with VML Analytics to boost the adoption of credit scoring and financial forecasting | GiniMachine GiniMachine, a leader in no-code AI scoring and decision-making solutions, is ready to announce a strategic partnership with Vector ML Analytics, a large
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Konstitucijos Prospektas 21B
Vilnius
Opening Hours
| Monday | 08:00 - 20:00 |
| Tuesday | 08:00 - 20:00 |
| Wednesday | 08:00 - 20:00 |
| Thursday | 08:00 - 20:00 |
| Friday | 08:00 - 20:00 |