Regal is a voice AI agent platform that helps businesses build, improve and manage AI agents that speak with customers on the phone. Visitors can try it directly by entering a number and getting a call from one of the AI agents, each presented as a named persona such as Sean, Rukmani, Evi or Jordan. Regal positions itself around the full life of an agent, from building the first version to improving how it performs and managing it at scale. It connects to the tech stack a company already runs, and it advertises enterprise-grade security for organizations that handle sensitive customer conversations.
Regal is aimed at companies whose customer relationships run through phone calls and who want automation without losing the human feel of a conversation. That typically means contact-center and operations leaders, customer experience teams, and technology teams responsible for tying a calling system into the rest of their software. Large organizations are a natural fit because the company highlights security and a list of industry leaders among its customers, though any business with steady inbound or outbound call volume can evaluate it.
Regal publishes customer material on the results of its agents. One example describes a team that reduced the number of voicemails routed to human agents by 45%, which frees staff for conversations that need a person. Other scenarios implied by its agent personas include answering common questions, collecting information before a handoff, and following up with customers by phone at scale. Teams can listen to an agent in action through the Get a Call demo before deciding whether Regal fits their workflow, and the company offers a demo for deeper evaluation.
