Agent Analytics AI is designed to provide comprehensive performance analytics for AI agents. Its unique features include tracking user interactions, measuring key performance indicators, and offering actionable insights to enhance operational efficiency. The platform utilizes advanced algorithms to analyze data, enabling users to optimize their AI strategies and improve engagement outcomes systematically. By focusing on user experience, Agent Analytics AI helps organizations ensure that their AI agents are performing at their best.

AiDash is an innovative platform that utilizes artificial intelligence and satellite imagery to monitor and manage critical infrastructure sectors such as utilities and transportation. Its capabilities include risk assessment, predictive maintenance, and operational optimization, helping organizations prevent outages and improve asset management. By analyzing vast amounts of remote sensing data, AiDash empowers decision-makers with real-time insights to enhance their operational strategies and safety measures.

The Java Action Linearprogram module provides a specialized action for the LightJason framework that allows agents to model and solve linear optimization tasks. Users can configure objective coefficients, add equality and inequality constraints, select solution methods, and run the solver within an agent’s reasoning cycle. Once executed, the action returns the optimal variable values and objective score which agents can use for subsequent planning or execution. This plug-and-play component abstracts solver complexity while maintaining full control over problem definitions through Java interfaces.