Cloud-based practice management software for dental offices and groups
Curve Dental sells cloud practice management software to dental practices across the US and Canada, built on a .NET/C# and SQL Server core with Angular and TypeScript on AWS. Job posts point to an AI push (agentic workflows, ML model deployment, a shared intelligence platform) alongside a payments business that still lacks reporting visibility. Hiring is accelerating and split evenly between engineering and support, reflecting onboarding and data-conversion load from new practices.
Curve Dental, founded in 2004 and headquartered in Alpharetta, Georgia, builds cloud-based practice management software for dental teams. The platform covers scheduling, charting, billing, imaging, patient engagement, revenue cycle management and analytics. Customers range from startup and independent offices to multi-location groups and DSOs in the US and Canada. The privately held company employs 201–500 people and hires in the United States, United Kingdom and Canada. Go-to-market runs on Salesforce, Salesloft and Gong.
Curve Dental's stack centers on C#, .NET and SQL Server, with Angular, TypeScript and NX on the front end, AWS and Docker for infrastructure, Jenkins and AWS CodePipeline for CI/CD, and Playwright, xUnit and NUnit for testing.
Yes. Hiring is accelerating, with engineering and customer support as the largest functions, plus sales, operations and product roles, mostly at mid-level, across the United States, United Kingdom and Canada.
Job posts point to an AI foundation, agentic workflows, machine learning model deployment, a shared intelligence platform, and dashboard and reporting infrastructure for its payments business.
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Curve Dental'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.