Regal builds AI-powered phone- and text-based contact center chatbots that handle common customer service requests and can act as AI agents. Its bots manage interruptions, adjust verbiage to customer sentiment, pull in customer data, and perform actions like sending follow-ups, scheduling calls, or transferring to human agents. Brands can customize language, set guardrails, and run fast experiments and A/B tests to iterate on experiences. Regal says it has hundreds of customers and that millions of people engage monthly with brands such as Google, Kin, Toyota, AAA, and Ro via its platform. The company has a 100-person New York-based team and has raised a total of $83 million to date; it plans to use new funding for product development and team growth as it pursues more autonomous contact-center interactions. Regal builds a tech stack and dashboard to power outbound voice and SMS outreach tied to customer intent. Core features include a journey builder that triggers calls and texts to high-intent buyers using signals like website usage, CRM data and behavioral information, plus a Branded Caller ID that replaces unknown numbers with the brand name. The platform surfaces pipeline visibility and friction points and is used by more than 100 marketing and sales teams, powering over a million conversations per month for customers including Angi, Career Karma, Fidelity Life and SoFi. Regal plans to deploy new capital toward go-to-market and engineering initiatives and to hire aggressively, aiming to double its current 80-person headcount within 12 months. Financially, the company recently closed a $38.5 million Series A at a $350 million post-money valuation, bringing total capital raised to $42.1 million. It competes with incumbents such as Five9, Genesys, Talkdesk, Twilio and Plivo while positioning itself on the B2C online-conversion niche.

Total raised

$79M

Funding rounds

2

Latest round

Equity

Latest activity

Oct 2024