SOLUTIONS
OIL & GAS

Time Series Forecasting
We employ state of the art Deep Learning techniques to provide time series forecasting for several horizons including daily or higher frequencies. Commodities, financials, and other type of time series can be predicted in a framework that is capable of combining text (e.g. news feed) and numbers (e.g. other input time series)

Drilling Events Detection
Drilling is one of the most expensive and risky upstream activity. It is important to detect in advance events (e.g. stuck rig in mud, broken rig) in order to act fast and efficiently. We use Natural Language Processing combined with advanced Machine Learning techniques to detect in advance potential downtime. Also diagnose real time non-productive wells.
CAPITAL MARKETS

Data Imputation
Missing data is part of almost every dataset in practice. In several cases we cannot just discard the missing data, instead need to impute it. Backtesting is an obvious example where data imputation has a lot of value. We employ Machine Learning technique to provide realistic and fast data imputation.

Portfolio Optimization
From classic Markowitz to powerful genetic algorithms handling multiple objectives and non linear constraints, our portfolio optimization solution is flexible and robust. You can also define custom portfolios and see how they perform against the efficient frontier returned by the optimizer.

Scenario Engine
Our Scenario Engine solution allows you to generate historical and Monte Carlo scenarios based on your time series data. It provides a wide range of options in terms of returns calculation, covariance structure estimation and simulation methods. It also offers the possibility to use high dimensional Sobol random number generators improving the statistical properties of your simulations.