AI-powered computer vision platform for dental diagnostics and clinical workflows
Pearl builds AI solutions for dental practice workflows, combining computer vision and clinical software. The tech stack leans heavily on modern web infrastructure (React, TypeScript, Node.js on AWS) with heavy adoption of AI-assisted development tools (Claude, GitHub Copilot, Gemini, Cursor), suggesting the core product couples diagnostic algorithms with practitioner-facing interfaces. Pain points around data ingestion, compliant workflows, and pipeline acceleration indicate they're scaling from early clinical validation into operationalized deployment across dental practices.
Pearl is a computer vision company delivering AI-driven diagnostic and clinical management tools for dentistry. Founded in 2019 and based in West Hollywood, the company serves dental practices by automating radiology analysis and pathology detection within existing clinical workflows. Their product spans diagnostic capabilities (AI image interpretation) and operational software (practice management integration). The team of 51–200 is primarily US-based, with active hiring focused on sales, engineering, and design roles.
React, TypeScript, Node.js, and AWS for the core platform. Python for ML/computer vision work. Design and prototyping via Figma, Adobe Creative Suite. AI-assisted development via Claude, GitHub Copilot, and Gemini.
West Hollywood, California. All current hiring is US-based.
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