Archy, a leading provider of cloud-based management software for dental practice, has raised $15 million in Series A funding round to further develop its platform and integrate artificial intelligence into its services.
Co-founded in 2021 by Jonathan Rat, Benjamin Kolin, and Christopher Hoffpauir, Archy’s cloud-based practice management platform offers a wide range of dentistry solutions.
Such solutions include employee, payroll, and patient engagement management, imaging, payment processing and analytics, enabling dentists to simplify daily workload, save time and boost productivity.
The funding round was spearheaded by Entrée Capital, with significant contributions from Alven, Bessemer Venture Partners, 20VC Growth funds, and CRV, alongside angel investors.
According to a news report published by HIT, Archy’s funding round will help improve efficiency in dental practice, allowing dentists to focus on handling more intricate tasks and improving patient care experience.
AI-driven Solutions for Dentistry
Archy’s fully automated platform features a wide range of functionalities that make it suitable for dental practice management while also helping dental care professionals improve care outcomes.
Such features include: AI-powered workflow automation allows dentists to streamline critical tasks, including the insurance verification process, patient communication, and appointment scheduling, freeing up professional’s precious time to focus on patient care.
Apart from workflow automation, the platform also offers integrated imaging solutions, including automated storage of x-ray images and AI-driven image analysis via integration with Pearl AI.
The platform also offers secure automated migration, allowing for seamless scaling with the need for expensive outdated servers.
Currently, the company’s platform supports hundreds of dental practices across the United States, with plans in place to expand the services to cover more dental facilities with the newly received investments.
Archy is also working to expand its machine-learning potential in revenue cycle management and analytics.