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
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)
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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