Make better decisions by using historical data to understand behavior, predict outcomes and compare scenarios.
Distill intelligence by using expert knowledge to transform raw data into actionable information.
Make up-to-date intelligence available to everyone so that anyone can leverage data to make decisions.
Leverage repositories of historical data spread across large networks of data sources to learn from past performance, recognize anomalous conditions, and predict future outcomes.
Historical data analysis can be used to model behaviors, train deep neural networks, and build decision trees.
Comparative situation analysis helps identify new trends, model expectations, and track performance.
Combine expert knowledge with realtime data to extract timely intelligence and eliminate information overload so everyone can understand what's happening as it happens.
Use multi-source data fusion to extract intelligence from raw data and capture significant results without building computational pipelines or manual processing.
Sentenai enables experts to encode knowledge as behavioral models and share it with the team using human-understandable models of behavior.
Keep everyone in the loop with instant insight, made available to everyone through accessible interfaces designed to support decision-makers in their roles.
Leverage the power of elastic data engineering to deliver up-to-date intelligence to everyone who needs it without any one-way transformations that limit future data use.
From the edge to the cloud, Sentenai can collect data anywhere and process it in-place, while enabling anyone to track and trace entities across the entire network.