Regal

Regal is a voice first AI agent platform built for contact centers, founded in 2020, based in New York, led by chief executive Alex Levin, and backed by eighty three million dollars from investors including Emergence Capital. Its founders come from contact center operations, and that shows in the focus: rather than treating a call as a standalone event, Regal treats every conversation as part of the customer journey. More than two hundred brands including Toyota, Google, Kin Insurance, Ro, and Coursera use it, most heavily in insurance, healthcare, financial services, education, and home services, where a well timed call drives real revenue.

Where Regal stands out is outbound and event driven engagement. A Journey Builder lets any team assemble multi step, cross channel sequences that trigger on customer actions such as a form submission, a missed payment, or a calendar event, and a sophisticated dialer with predictive, power, and preview modes maximizes pickup rates with smart pacing, instant connection, and voicemail detection. Because there is no outbound abandon rate, callers are less likely to flag the numbers as spam. The agents themselves sound natural, let callers interrupt and change topics, speak more than thirty languages, and are personalized in real time using the customer's own data.

Underneath sits a Unified Customer Profile that stitches together data from a company's systems, product usage over time, and contact center history into a single record for each person, so agents always have context and customers never have to repeat their story. Regal integrates with major contact center software and dozens of other systems, uses session initiation protocol headers to enrich routing and transfers without backend changes, and hands off to a live agent with full context when a conversation needs a human. Conversation intelligence surfaces recurring themes like common objections or points of confusion, and built in reporting and A and B testing let teams prove which approach works.

Reliability before launch is a genuine strength. Regal offers simulation based test suites that run agents through scenario specific conversations to pinpoint failures before go live, speeding up regression testing and validating prompts, knowledge bases, and custom actions at scale. On compliance it is HIPAA and SOC 2 aligned, keeps sub processors from training on customer interactions, and includes the consent and audit tooling that regulated outbound calling requires. Pricing is handled through sales rather than a public rate card. Regal fits contact center teams whose results hinge on pickup rates, conversion, and high volume outbound, more than on broad omnichannel support resolution.