Mathematics and Technology
At Via Science, we do more than just make predictions.
Using our microservices architecture, Focus™, we detect anomalies and infer cause and effect relationships to help clients choose the best action to minimize risks. Focus™ is built around a robust microservices architecture that isolates and executes one piece of code without affecting other pieces. This design allows us to create smaller, independent modules and therefore better customize our approach for each client. Focus™ includes data ingestion tools that allow it to handle both streaming and batch data using the same code in training and production.
At the core of Focus™ is Via Science’s patented machine learning engine, REFS™ (Reverse Engineering and Forward Simulation). The engine automates causal inference, which provides more accurate predictive algorithms and excels at addressing diagnostic and simulation problems. Built on Big Math (Bayesian networks), this engine is particularly well suited to handle missing and sparse data, a major problem in real world applications like power grids or in cybersecurity.