All-in-one practice management platform for dental offices
Practice by Numbers operates a full-stack dental practice management platform built on Python, Django, PostgreSQL, and Kubernetes—with a heavy lift underway in VoIP infrastructure (Kamailio, OpenSIPS, FreeSWITCH, Asterisk). The engineering-heavy hiring mix (6 of 14 roles) paired with active projects in carrier-grade SIP, telephony scaling, and AI-powered automation suggests the company is moving beyond scheduling and billing into integrated patient communication and clinical workflow. Pain points around VoIP reliability, alert fatigue, and reducing agency dependency point to internal infrastructure maturity gaps—typical of a growing platform transitioning from single-cloud to multi-cloud (AWS, GCP, Azure) operations.
Practice by Numbers is a dental practice management platform founded by dentists and headquartered in Redmond, WA. The product consolidates operations across analytics, patient communication, reputation management, online scheduling, payments, insurance verification, and patient forms into a single interface for solo practices, group practices, and dental organizations. The company operates a polyglot backend (Python, Go, Java) on Kubernetes across multiple cloud providers, and has invested significantly in telephony infrastructure to support integrated patient engagement. With 51–200 employees and 14 active engineering, sales, and product roles, the company is in a hiring acceleration phase.
Backend: Python, Django, PostgreSQL, Go, Java. Infrastructure: Kubernetes, Docker, Terraform on AWS, GCP, Azure. Telephony: Kamailio, OpenSIPS, FreeSWITCH, Asterisk. Monitoring: Prometheus, Grafana, OpenTelemetry. Frontend: React, Next.js, TypeScript.
Redmond, WA. The company was founded in 2015 and is privately held with 51–200 employees. Currently hiring in the United States and India.
Practice by Numbers'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.