Deep Patterns LLC specializes in development and promotion of Big Data analytics software implementing the innovative SRMD (Structural Resonance in Multidimensional Data) technology. We use proprietary concept of context-sensitive local metrics and effect of structural resonance in multi-dimensional data.
Proven by a number of successful implementations, our approach is very effective in analytics in areas characterized by high complexity in internal relations where traditional data mining methods normally tend to fail.
SRMD technology works in all areas where traditional data mining methodology is used today. Tremendous data volumes generated in banking, finance, insurance, CRM, manufacturing, telecommunications, e-business, marketing, stock market, require more and more comprehensive algorithms to extract valuable information.
Advantages and unique abilities of SRMD are most noticeable when applied in scientific domains, such as bioinformatics and chemometrics, e. g. genome annotation and QSAR discovery, where complex systemic relations are common in data.
in knowledge-intensive areas:
— expose complex system relations,
— improve accuracy of interpretation, validity of conclusions and predictions.
— optimize process and realize competitive advantages of the company,
— improve financial highlights and reduce costs, bring company to a new performance level.
D.Sc, founder and scientific director of Deep Patterns LLC.
CEO, Deep Patterns LLC.
CTO — responsible for R&D, Deep Patterns LLC.
PhD, deputy director of Development, Deep Patterns LLC.
Power is the near neighbour of necessity. (Pythagoras)
22.10.2020 Winning the Startup Rally 2020 innovation contest
Our project “ERAS — Expert System for Risk Assessment of Cardiac Surgery” took first place in the startup competition within the framework of the BIOTECHMED 2020 forum.
25.11.2019 November 2019 highlights
Release of new book by V.A. Duke concerning logical data analysis, appointment as expert in
“Neurotechnology and Artificial Intelligence” branch of “Digital technologies” federal project and participation in international conference.
19.04.2019 DeepPatterns wins BioTech track in Open Innovations Startup Tour
Our project “DP4SAR — the innovative tool for discovering chemical structure patterns and structure-activity relations for directed drug design” awarded first prize in “BioTech in Medicine and Agriculture” section.
16.01.2019 Interpretability of machine learning models
Vyacheslav A. Duke, Scientific director of Deep Patterns made a presentation «Logical methods of machine learning» during «Transportation problem and transport facilities» session held in House of scientists on January 16, 2019.