A cluster of start-ups unveiled new tools aimed at making conversational artificial-intelligence systems more reliable and secure. Guardrails AI introduced “Snowglobe,” which it bills as the first large-scale simulation environment that can expose chatbots to hundreds of thousands of evolving, realistic user interactions, far beyond the 50–100 scripted examples typically used in testing today. Relyable announced a complementary service focused on voice agents. The company says its platform can simulate, monitor and evaluate virtual assistants before they are deployed, addressing what it describes as a 99% real-world failure rate for inadequately tested voice applications. Joinable AI, meanwhile, highlighted “RAG-in-a-Box,” a retrieval-augmented-generation system designed for enterprises that want tighter control over proprietary data. The company positions the product as a privacy-focused alternative to public chat services whose operators acknowledge that user conversations can be stored or reviewed. The releases underscore mounting demand for rigorous validation of AI agents as businesses move from pilot projects to customer-facing deployments, where errors or data leaks can carry financial and reputational costs.