Regie.ai builds a sales engagement platform where human reps and AI agents operate in a single workflow—a departure from separate tools for each. The tech stack (Python, Node.js, React, PostgreSQL, MongoDB, Salesforce, Outreach, Apollo, ZoomInfo) reflects a full-stack SaaS operation; active projects center on prompt engineering, generative AI feature development, and infrastructure automation. The pain-point list reveals the core tension: quality assurance and edge-case detection in AI systems while maintaining cost efficiency—typical friction points for AI-first product teams scaling from startup to operational maturity.
Regie.ai is a sales engagement platform that orchestrates prospecting workflows for both AI agents and human sales reps from a single interface. The product targets mid-market and enterprise sales teams, routing high-value leads to rep-driven outreach and lower-tier audiences to AI-led engagement until sales readiness signals emerge. Founded in 2020 and headquartered in San Francisco, the company operates with lean hiring velocity (7 active roles, no postings in the last 30 days) and a seniority-skewed team (5 senior, 1 junior, 1 mid-level). Engineering and sales represent the two active departments, with distributed hiring across the United States, Canada, and India.
Regie.ai runs on AWS with Python, Node.js, and React for the application layer; PostgreSQL and MongoDB for data; Prometheus, Grafana, and New Relic for observability; GitHub Actions for CI/CD; Docker and Terraform for infrastructure automation. Integrations include Salesforce, Outreach, Apollo, and ZoomInfo.
Active projects include prompt engineering and generative AI feature development, scalable SaaS infrastructure, unified monitoring and alerting, CI/CD improvements, and codegen/genAI tools for internal development productivity.
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