AI-powered contact center platform for mid-market customer experience
Broadvoice operates a cloud-based contact center and unified communications platform built on React, Node.js, Salesforce, and open-source VoIP infrastructure (Kamailio, FreeSWITCH). The tech stack reveals a modern, containerized architecture (Docker, AWS EKS, Kubernetes-ready) with observability-first operations (Prometheus, Grafana, Elasticsearch), and active hiring across engineering, sales, and support signals aggressive growth. Current projects—event-driven architecture with Kafka, AI-driven workflows, and CRM standardization—indicate a pivot toward automation and tighter customer data integration.
Broadvoice provides cloud-based contact center and unified communications solutions for mid-market enterprises. The platform combines voice infrastructure (SIP trunking, hosted voice, VoIP) with AI-assisted agent workflows, customer self-service, and real-time analytics. Founded in 2005 and based in Northridge, CA, the company operates with approximately 51–200 employees, serving customers worldwide. Current operational focus spans platform reliability (monitoring multiple sites, reducing bug backlog), sales enablement, and support efficiency—typical scaling challenges for a maturing SaaS platform.
React and Node.js for frontend/backend; Salesforce for CRM; Kamailio and FreeSWITCH for VoIP; AWS (EKS, X-Ray) for cloud; Prometheus, Grafana, Elasticsearch for observability; Jenkins and Codefresh for CI/CD.
Platform observability and QA infrastructure, event-driven architecture with Kafka, AI-driven workflows, CRM standardization, and MCP servers for integrations. Also running new hire and sales training programs.
Broadvoice's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.