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Meet AliceNN
Explore our machine learning and AI expertise
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Anomaly detection
Anomaly detection finds application in many domains including cyber security, medicine, machine vision, statistics, neuroscience, law enforcement and financial fraud to name only a few -
Recommender systems
Recommender systems are used in a variety of areas, with commonly recognised examples taking the form of playlist generators for video and music services, product recommenders for online stores, or content recommenders for social media platforms and open web content recommenders -
Natural language processing
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves
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Real-time data science
Self-taught analytics
Neural networks
Intelligent cybersecurity
Business insights
Automated interactions
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Real-time data science with artificial intelligence
Do you want to know what your clients do and why? Would you like to get this information before it becomes obsolete? Conventional data analysis implies a delay between data collection and offline batch processing, our engineers develop machine learning systems.
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Testimonials
Carolyn J. Hill
Marketeer
Working with AliceNN helped us go to market with new digital products quickly. Essentially, and very importantly, the partnership allows us to service our global migrant customers better wherever they might be.
Milton A. Fisher
Composer
By deepening our capacity to ask how and why, AI will advance the frontiers of knowledge and unlock whole new avenues of scientific discovery, improving the lives of billions of people.
Juanita R. Dale
Exercise instructor
I needed more leads for my services. They made an analysis of my existing site. It occurred that my website is banned with Google, and I never knew about that!
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Machine learning & AI in Recommender Systems
Recommendation engines are a subclass of machine learning which generally deal with ranking or rating products / users. Loosely defined, a recommender system is a system which predicts ratings a user might give to a specific item. These predictions will then be ranked and returned back to the user. Identifying what defines a good recommendation is a problem in itself that many companies struggle with.
Machine learning & AI in Language Processing
Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value extracted from it. In theory, we can understand and even predict human behaviour using that information.
Machine learning & AI in Data Analysis
Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.