Ursa Frontier helps you create cognitive models that match your specific needs. These models imitate how people behave and make decisions, improving training simulations, games, and business systems. Ursa Frontier works closely with you to make sure these models fit into existing systems, so your teams can focus on more important tasks while the models handle routine work.
Ursa Frontier also helps you build synthetic data sets, which are useful for protecting real data. By creating synthetic data, you can run tests, train AI, and explore new ideas without risking your sensitive information. This method keeps data safe and allows you to create large, varied data sets for better decision-making.
Ursa Frontier’s self-service platform for building cognitive models and synthetic data lets you create your own solutions or build on prior work. This helps you quickly make and adjust models for training, simulations, or testing, while also producing synthetic data to keep real information safe.
The platform helps you build cognitive models using a special language for describing hierarchical task networks (HTNs). HTNs break tasks into smaller steps, showing how different actions work together to reach bigger goals. With this language, you can create models that represent how people make decisions, organizing tasks in a clear order, mixing behaviors from different domains into reactive agents. The platform makes it easier to map out complex behaviors and tasks. This helps you create realistic models for simulations, training, and automation.
The platform lets you build synthetic data pipelines using specialized generators. These generators create data that looks like real-world information, matching the patterns or needs of each project. By linking different generators in a pipeline, you can produce large, customized datasets without using sensitive data. This helps you test ideas, train machine learning models, and do research while keeping information safe.
Ursa Frontier