REGAL
Regal did not start as a moonshot idea sketched on a whiteboard. It started as friction you could feel in your chest. In 2020, Co-Founders Alex Levin, CEO, and Rebecca Greene, CTO, fresh off scaling Handy inside Angi, had already seen what “efficient” customer experience really meant behind the curtain. Alex Levin drove growth and operations at scale. Rebecca Greene led product, engineering, data, design, and people. Together, they lived the tradeoffs. Hide the phone number. Push people into rigid bots. Blast outbound calls and hope something sticks. It protected margins and quietly drained trust. So they built Regal.ai in New York to fix the part everyone tolerated and nobody respected: the conversation itself, and in the world of SaaS, that is where retention, revenue, and reputation quietly collide.
Alex Levin operates with the urgency of someone who has carried a revenue number tied directly to call outcomes. Rebecca Greene builds with the precision of someone who knows product failure shows up instantly in customer experience. That combination is not theoretical. It is operational. This is not a thin layer on top of a language model. It is an AI Agent platform designed to sit inside the bloodstream of enterprise CX, where timing, data, and tone decide whether a call becomes a conversion or a missed moment. In a crowded SaaS landscape, that level of depth is not aesthetic, it is defensive.
The product is simple to describe and difficult to replicate. Regal enables enterprises to deploy AI voice agents across support, sales, and operations that actually do the job. These agents are wired into real time customer data, capable of taking action, and built to handle the messy reality of human conversation. Not scripts. Not decision trees. Live systems that qualify leads, reschedule patients, route high value customers, and close loops that usually fall apart between systems. The difference is not just intelligence. It is orchestration, measurement, and control, the kind of layered architecture that defines durable SaaS platforms rather than temporary tools.
The traction tells its own story if you know how to read it. Regal agents have scaled to more than 350M calls in 2025 alone, powering interactions for brands like Angi, AAA, Google, Harvard, K Health, Kin Insurance, Ro, Toyota, and Varsity Tutors. Across those conversations, the platform has driven over $5B in revenue. Not impressions. Not engagement. Revenue. Backed by more than $80M+ in funding, including a $38.5M Series A led by Emergence Capital and a subsequent $40M round, the signal from investors is clear. This is infrastructure, not a feature, and in SaaS, infrastructure is where category leaders separate from the pack.
The timing is not subtle. Enterprises are staring at a $400B contact center labor market while expectations for speed and quality keep climbing. Regal is positioned directly in that tension. Blend AI agents with human agents. Route intelligently. Measure everything. Improve continuously. The phone call stops being a cost center and starts acting like a revenue channel again.
Inside the company, the culture mirrors the product. Operator mindset. Data over opinion. Tight feedback loops between engineering, product, and customer teams. This is a place for builders who want to see their work deployed in real environments where every interaction carries weight.
Regal is hiring across engineering, AI, product, and go to market, and the ecosystem around them is moving just as fast. The companies running on Regal are building AI powered CX teams that did not exist a few years ago. If you want to work where conversations turn into revenue, this is where the floor is getting crowded. Explore roles and watch the operators building on top of it. The next wave of customer experience is already in motion.