ASP-DALI provides a unified platform for defining and executing logic-based intelligent agents. Developers write ASP rules to represent agent knowledge and goals, while DALI constructs define event reactions and action executions. At runtime, an ASP solver computes answer sets that guide the agent’s decisions, enabling it to plan, react to incoming events, and adjust beliefs dynamically. The framework supports modular knowledge bases, facilitating incremental updates and clear separation between declarative rules and reactive behaviors. ASP-DALI is implemented in Prolog with interfaces to popular ASP solvers, simplifying integration and deployment across research and prototype scenarios.

Klustr is an innovative AI-driven analytics platform that helps organizations and individuals make sense of their data. Utilizing advanced machine learning algorithms, Klustr transforms raw data into actionable insights and accurate forecasts. This platform is designed for ease of use, ensuring that even those without a data science background can leverage its powerful capabilities. Users can upload their data, configure the analytics options, and let Klustr do the rest, providing valuable insights that drive better decision-making.

Motif Analytics is designed to optimize data analysis and decision-making processes. It provides rich interactive visualizations to identify patterns in user and business flows, and its advanced sequence operations offer precision and speed in data querying. With AI models for event sequences and a high-performance query engine, users can explore event sequences naturally and make optimization decisions efficiently. Whether running locally for individual use or at scale for teams, Motif supports all levels of data analysis needs.