FINTECH

FINTECH

The financial and insurance sector generates and manages a huge amount of data. With Artificial Intelligence, this mass of data is enhanced: causal relationships are highlighted, less clear phenomena are measured, and a solid decision support system is available. For your company, Machine Learning is a new driving force that enhances and increases the tools already available.

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Rea·dy for to·mor·row

Artificial Intelligence is already at the base of many financial and insurance tools. And tomorrow will be even more informed by this technology. From financial analysis to customer services, from risk calculation to customer profiling, AI will be a foundational pillar of your company's technological evolution.

Fo·cus on da·ta

The analytical ability of AI allows you to quickly examine a lot of data, even when raw and from diverse origins. This makes it easier to model deep analyses and identify the most solid hypotheses, to find the causes of a phenomenon or weave long-term investment strategies.

Se·rene nights

Frauds and digital attacks are commonplace in the banking and financial world. AI allows you to automate and generalize controls, performing real-time checks and cross-referencing information of various kinds on the spot. To give you more security, more tranquility, more solidity.

Quick wit

Machine Learning models, refined with causal corrections and statistical inferences, allow you to derive valuable insights that are otherwise difficult to intercept. The computing power of AI, at your service, gives you the ability to find answers to your most complex doubts.

TECHNOLOGY

Graphical representation of forecasting developed by one of our Machine Learning models

Forecasting Models

With the help of Machine Learning models for Forecasting, more in-depth and varied analyses are carried out, which can be used to make hypotheses about the future.

Graph of a technical stock market analysis, showing an unexpected anomalous event

Anomaly Detection

Anomaly Detection algorithms allow you to immediately identify risks and opportunities, even where they are least expected.

Series of scattered paper documents, one on top of the other

NaturalLanguage Processing

Market analyses and service automation become more robust and precise, thanks to the use of AI for natural language processing.

WORKS

Data augmentation
AI
Risk indices
AI
Document analysis
AI