NLP is used to understand the structure and meaning of human language by analyzing different aspects like syntax, semantics, pragmatics, and morphology. Then computer science transforms this linguistic knowledge into rule-based, machine learning algorithms that can solve specific problems and perform desired tasks. Our team is specialized in the architectures and tools necessary to advance any company's unstructured data.

Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision-making. This is also known as deep neural learning or deep neural network. Our team is specialized in these advanced solutions for complex problems.

Time series regression is a statistical method for predicting a future response based on the response history (known as autoregressive dynamics) and the transfer of dynamics from relevant predictors. Time series regression is commonly used for the modeling and forecasting of economic, financial, and biological systems. Our team pushes the boundaries to build LSTM, reinforcement learning and other various models to help support a businesses needs.

Reinforcement learning builds its actions based on reward or punishment. There are three basic concepts in reinforcement learning: state, action, and reward. The state describes the current situation. For a robot that is learning to walk, the state is the position of its two legs. We take this beyond the machine and bring these methods to time series, decision-making and real-time implementation.

A business dashboard is an information management tool that is used to track KPIs, metrics, and other key data points relevant to a business, department, or specific process. Through the use of data visualizations, dashboards simplify complex data sets to provide users with at-a-glance awareness of current performance. Our team looks to assist all clients with real-time analytics for anchored support through the business.

Software engineering leads to a product that is reliable, efficient, and effective at what it does.

A system architect analyzes and recommends the right combination of IT components to achieve a specific business, department, team, or functional target. They objectively analyze desired processes and outcomes and advise on the right combination of IT systems and components to achieve those goals.