Cloud-based practice management platform for dental groups and DSOs
Planet DDS operates a cloud-based dental practice management suite serving 13,000+ practices across DSOs and dental groups. The tech stack—C#/.NET, PostgreSQL, Azure, AWS—is anchored in Microsoft infrastructure (Exchange, Entra, Graph API, DevOps), and the company is actively adopting AI tooling (OpenAI, Cursor, Windsurf) while tackling integration complexity with existing legacy systems. Active projects cluster heavily around AI adoption (agentic workflows, proof-of-concepts, marketing automation) and payment infrastructure, suggesting a pivot toward AI-driven workflow tools alongside consolidating their legacy replacement narrative.
Planet DDS builds a cloud-based practice management platform called DentalOS, which includes Denticon (practice management), Cloud 9 Ortho (specialty practice management), and Apteryx (cloud imaging). The platform serves dental service organizations (DSOs) and independent dental groups seeking to replace outdated on-premise systems. As of the last update, the platform supported 13,000+ practices and 118,000 users. The company operates from Irvine, California, and is headquartered in the United States with recent hiring activity in the United Kingdom.
C#, .NET, PostgreSQL, SQL Server, and Azure DevOps for core infrastructure. Cloud deployment spans Azure, AWS, and GCP. Frontend tooling includes Figma and Cursor. AI/ML tools: OpenAI, Codex, PyTorch.
Primary focus areas are automated testing frameworks, CI/CD pipeline improvements, AI productivity tool integration, payment account onboarding, and AI-driven practice management proof-of-concepts. AI adoption and agentic workflows feature heavily in active projects.
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Planet DDS'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.