Whiz is designed to provide a robust foundation for developing intelligent agents that can perform complex conversational and task-oriented workflows. Using Whiz, developers define "tools"—Python functions or external APIs—that the agent can invoke when processing user queries. A built-in memory module captures and retrieves conversation context, enabling coherent multi-turn interactions. A dynamic planning engine decomposes goals into actionable steps, while a flexible interface allows injecting custom policies, tool registries, and memory backends. Whiz supports embedding-based semantic search to fetch relevant documents, logging for auditability, and asynchronous execution for scaling. Fully open-source, Whiz can be deployed anywhere Python runs, enabling rapid prototyping of customer support bots, data analysis assistants, or specialized domain agents with minimal boilerplate.

MindBridge AI™ is a pioneering platform utilizing artificial intelligence to automate financial risk discovery and anomaly detection. By analyzing 100% of transactions, it enhances internal control through comprehensive risk assessment. The platform employs Ensemble AI, integrating multiple analytical methods to ensure robust detection of discrepancies and potential fraud. Ideal for financial professionals, MindBridge enables organizations to streamline their auditing processes and maintain integrity in financial reporting.