CONSULTING AND PROJECT DEVELOPMENT

Automation of banking processes and Artificial Intelligence

Why choose us?

We develop the entire process,
with real experts.

Consulting

Not sure how to start? We tell you how. We investigate and analyze all possible scenarios, deadlines and costs.

Project development

We build models and processes to satisfy the requirements
of the chosen alternative.

INVEST IN TECHNOLOGY

Automation of banking processes

We offer digital solutions and automated processes through data modeling with artificial intelligence, parameterized calculations and tools for practical use.

INVEST IN TECHNOLOGY

Success cases

Online Broker

Asset Management Denoising

Process of denoising up to 95% of the randomness of the covariance matrices, reducing the sensitivity and errors.

Derivatives selection in portfolios

Options, turbowarrants and exotic options selector for bank portfolios through greek calculations in real time.

AI. Machine Learning: Analyst recommendations

Use of Machine Learning to value changes in analyst recommendations in the price of assets allowing to predict their impact.

Parametric risk feed

Processing of raw data and construction of synthetic data that is complementary to generate a homogeneus institutional risk feed that can be used on all the bank platforms.

AI. Machine Learning: Detection of atypical behavior

Clustering of atypical behaviors in the stock market using Artificial Intelligence. (Machine Learning)

AI. Deep Learning: Pattern recognition

Technical guidelines recognition through images of time series of prices of listed assets.

AI • Asset Management Hierarchical Topology Trees

Clustering methodology that presents strong advantages through solid and stable diversification compared to the mean-variance models.

Finavid: Digital Marketing and communication

Development of the data processing model for Finavid.com (Noesis group) oriented to digital communication. (Big Data Communications)

Online Broker

Asset Management Denoising

Process of denoising up to 95% of the randomness of the covariance matrices, reducing the sensitivity and errors.

Derivatives selection in portfolios

Options, turbowarrants and exotic options selector for bank portfolios through greek calculations in real time.

AI. Machine Learning: Analyst recommendations

Use of Machine Learning to value changes in analyst recommendations in the price of assets allowing to predict their impact.

Parametric risk feed

Processing of raw data and construction of synthetic data that is complementary to generate a homogeneus institutional risk feed that can be used on all the bank platforms.

AI. Machine Learning: Detection of atypical behavior

Clustering of atypical behaviors in the stock market using Artificial Intelligence. (Machine Learning)

AI. Deep Learning: Pattern recognition

Technical guidelines recognition through images of time series of prices of listed assets.

AI • Asset Management Hierarchical Topology Trees

Clustering methodology that presents strong advantages through solid and stable diversification compared to the mean-variance models.

Finavid: Digital Marketing and communication

Development of the data processing model for Finavid.com (Noesis group) oriented to digital communication. (Big Data Communications)

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contact us