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What we do

At Entropy Reduction, we are dedicated to providing expert consultation and guidance for harnessing the power of modern machine learning and AI. Our goal is to help you seamlessly integrate these cutting-edge technologies into your business or research endeavors. From crafting an AI roadmap and developing an effective strategy, to delivering custom data analysis and modeling solutions, we have the skills and experience to drive your success.

We work with businesses, research labs, and individuals as well as other consulting firms, to bring our extensive knowledge and experience in specific domains and AI methods to your unique needs. Let us help you stay ahead of the curve and lead the way into the exciting future of AI.

For Companies

We offer a wide range of services ranging from devising your AI strategy to hands-on data analysis and machine learning to extract valuable knowledge and insights for you business based on your or publicly available data.

For Research Labs

We are open to academic collaboration with universities to outsource data analysis, visualisation, results interpretation and even experimental design. These services apply to select topics of interest – please contact us to find our more.

For Individuals

We are excited to work together with individuals, small teams and idea-stage startups to complement your expertise with our knowledge of machine learning theory and methods to explore an idea or help realise a personal project.

For Consultancies

If your team lacks a niche expertise in one of the domains we are knowledgeable about — we are happy join your team and help fill the gaps or provide an overview of the field and main trends to help you navigate that particular area of knowledge.

Let’s talk

Areas of expertise

At Entropy Reduction, we understand that a combination of technical proficiency and expert domain knowledge is essential for achieving success with the application of machine learning and AI in real-world scenarios. Our team possesses both of these vital elements, enabling us to build models that make accurate predictions and analyze data to uncover valuable insights.

Our expertise spans a diverse range of domains and industry sectors, allowing us to speak your language and find the perfect fit between modern machine learning techniques and your specific data and business needs. Some of the areas in which we have extensive experience include:

Neuroscience

EEG, LFP, intracortical recordings, fMRI, Matlab, Python

Large Language Models (LLMs)

GPTs, prompt engineering, LangChain, chain-of-thought, content analysis

Medical Imaging

Biomarkers, lesion detection, tissue classification, MRI, fMRI

Autonomy and Robotic Learning

ROS, Reinforcement Learning

Time Series

Process monitoring, anomaly detection, real-time predictions

Brain-Computer Interfaces

VEP, P300, EEG, ECoG, direct decoding

Large-scale User Interaction Data and Processes

Customer models, churn, fraud, predictive modeling

Bioinformatics

Biomarkers, predictions based on generic information

Business Process Mining

Process optimisation and discovery, bottleneck detection, conformance checking

Machine Learning on Graphs

Social network analysis, GNNs, user interactions, community detection

Theoretical Machine Learning

Experimental design, scientific publishing, research supervision

Teaching ML and Public Speaking on AI

Guest lectures, invited talks, corporate info hours

We are also interested in exploring the following areas:

  • Health and personalised medicine
  • Marine biology
  • Cosmology and astronomy

AI and machine learning methods

While the relevant domain knowledge allows us to understand your needs, our expertise in machine learning methodology gives us the tools to formulate the task in the language of AI and pick an appropriate model and training process to deliver a successful predictive model or insightful data analysis outcomes.

Some of the areas of machine learning we specialise in include:

  • General purpose deep learning
  • Artificial neural networks for image or tabular data
  • Recurrent neural networks for process modelling, anomaly detection and time series analysis
  • Transformers for text and other sequential data
  • Statistical analysis
  • Classical machine learning
  • Data visualisation and interactive presentation
  • Dimensionality reduction
  • Anomaly detection
  • Graph networks, also convolutional graph networks
  • Business process mining

Let’s talk