Helping organizations build and deploy their machine learning, data science and AI solutions

Trusted by individual clients, companies and hedge funds

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Developing

Our Past Projects

How we work

We offer end-to-end AI, machine learning, data science consulting and software solutions. We take care of your entire project from the initial project research to the final deployment to production.

Understand business goals

In the first phase of project, our goal is to understand the business goals of the project and to gain insights by applying data science on available data.

Define Roadmap

Based on results from first phase, we work with your team to prepare and define objectives of the project and detailed roadmap.

Build prototype

We gather the relevant data for training of the machine learning models. Implementation of the solution with API endpoints or as part of standalone solution.

Monitor performance

Monitoring performance of the machine learning model in operations. Further development and improvements if required.



Explainable Artifical Intelligence and Machine Learning

Ogranizations implementing AI and Machine Learning solutions are increasingly confronted with demands for explainability of their models results. This is driven both by regulations, e.g. Right to Explanation in GDPR as well as interest of other stakeholders - decision makers, employees involved using ML models, customers and others. We use advanced machine learning interpretability frameworks, including LIME-based and SHAP, to provide AI explainability to each each of our models that we develop for our clients.



Explainable Artifical Intelligence and Machine Learning




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Robo Advisor Solution

Alpha Wealth Robo Advisor is a platform for automated advisor and investment management, offering portfolio optimisation based on maximum drawdown, active management products such as dynamic asset allocation, financial planning and use of specialised digital assistants.

For an overview of Robo Advisor features please read presentation at Robo Advisor Presentation or see a video of app in use: Robo Advisor video


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BittsAnalytics

BittsAnalytics is an advanced Big Data and AI platform for analysis of stocks, futures and digital assets.

It is used by many individual clients and global hedge funds.


Its features include sentiment analysis of social media posts and news about securities, risk management, historical simulations, portfolio tracking and others.

Visit BittsAnalytics


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UnicornSEO

UnicornSEO Hub - data science tools for improving your rankings through better insights on keywords, competitors and your niche.

Advanced tools for niche research, top keyword determination and competitor analysis.

AI and machine learning tools for sentiment analysis of text, semantic similarity analysis based on sentence embeddings and AI Content Generation with GPT-2.

Visit UnicornSEO


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Quantamental

Alpha Quantum Quantamental is an innovative solution for financial analysis, valuation and ranking of companies and a backtesting platform for quantitative strategies.

Solution allows clients to conduct financial analysis of companies, including generating sophisticated automated reports and provides versatile discounted cashflow valuation tools.

Quantitative strategies can be based on multifactor models, pricing models, rankings, DCF valuations, news analytics models or their combinations.

See Quantamental Presentation


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Risk Management

Alpha Quantum Risk Management is an innovative solution for risk management in financial institutions.

Solution allows clients to conduct risk analysis through different Value at Risk methods, construction of stress test scenarios, support for derivative positions, pre-trade risk management and risk attribution.

The features also include limits monitoring, performance measurement, regulatory compliance and powerful reporting capabilities for credit risk, market risk and portfolio analysis.

See Risk Management Presentation


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Portfolio Optimiser

Alpha Quantum Portfolio Optimiser is an innovative solution for portfolio optimisation in financial institutions.

Solution includes mean variance and mean cvar portfolio optimisation, powerful multiperiod portfolio optimization framework for backtesting and research of strategies, use of deep learning neural nets in backtesting of strategies, cleaned correlation matrix.

It includes portfolio optimization on cointegrated prices and alpha returns, powerful reporting and document generation capabilities.

See Portfolio Optimiser Presentation


Technical stack

Machine learning models: Decision Trees, Random Forests, Support Vector Machines (SVM), XGBoost, Lightgbm, Logistic regression, Gradient boosting, (Ridge, Lasso) regression, Convolutional Neural Networks (CNN), LSTMs, K Means Clustering, KNN, SVD++, PCA, Tsne and others.

Frameworks: Scikit-learn, Tensorflow, Pytorch, Keras, Caffe, Surprise, Turi Create, Pandas.

Languages: Python, Javascript, C#, Java, SQL, CSS3, PHP, HTML.


Technologies we use