Regal builds generative AI agents purpose-built for customer-facing operations at mid-market and enterprise companies. The stack reveals a contact-center DNA: Twilio for voice, Salesforce + Salesloft + ZoomInfo for CRM integration, and orchestration via Node.js, GraphQL, and Kinesis for low-latency agent deployment. Active hiring skews heavily toward support (8 roles) and sales (7 roles)—a signature pattern of a sales-led company fighting adoption and CAC challenges while scaling customer strategy functions in parallel.
Regal is an AI agent platform for enterprise customer experience, launched in 2020 and headquartered in New York. The company targets consumer businesses seeking to automate support, sales, and operations calls through generative AI agents. Regal's core offering combines three layers: an agent-building and deployment infrastructure (low-latency, omniscient, always-on); first-party customer data integration to personalize conversations; and A/B testing tools for contact-center teams to run continuous improvement cycles without requiring engineering lift. The 51–200-person team operates across the United States and Canada, with current hiring velocity accelerating.
Regal uses Salesforce, Twilio, Kinesis, DynamoDB, and PostgreSQL as core infrastructure; Node.js, React, and GraphQL for application; AWS (Lambda, Fargate, SQS) for compute; and Datadog for observability. Salesforce, Salesloft, and ZoomInfo handle CRM integration.
Regal is based in New York and was founded in 2020. The company is privately held with 51–200 employees, hiring in the United States and Canada.
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