Voice and WhatsApp platform for outbound sales and recruiting calls
FreJun operates a real-time voice and messaging platform built on WebRTC, SIP, and Node.js + Python backends, with infrastructure spanning RabbitMQ, Kubernetes, and AWS. The tech stack reveals a company scaling distributed systems for voice workflows—evident in active projects around real-time STT/TTS/LLM pipelines and API lifecycle management. Pain points cluster around geographic scaling and system reliability, suggesting FreJun is moving beyond single-region deployments.
FreJun builds a calling and WhatsApp platform for outbound sales outreach and recruiting workflows. The product sits at the intersection of telephony (SIP, WebRTC) and messaging, serving teams who need to conduct conversations at scale across voice and text. Founded in 2019 and based in Seattle, FreJun operates with a lean 11–50-person team distributed across engineering, product, sales, and marketing. The engineering-focused hiring pattern and active backend/distributed-systems work suggest the company is deepening platform capabilities rather than broad feature expansion.
FreJun's stack includes Node.js, Python, and Go for backend services; WebRTC and SIP for voice; PostgreSQL for persistence; RabbitMQ for messaging; Kubernetes for orchestration; and AWS for hosting. Testing is covered by Playwright, Selenium, Cypress, and pytest.
Current projects include real-time STT/TTS/LLM pipeline design, scalable backend services, distributed system architecture, and API lifecycle workflows. Content marketing efforts focus on AI and call automation topics.