AI automation platform for dental lab operations and case management
EviSmart automates manual workflows in dental labs—case intake, data entry, scan QC—using an AI-powered platform built on Azure, Kubernetes, and Python. The tech stack reveals a mature cloud-native operation, but pain-point data shows the company is focused inward: improving onboarding, net revenue retention, case quality, and reducing manual deployments. Hiring velocity is decelerating while core engineering roles remain open, suggesting a shift from growth-mode hiring toward operational efficiency.
Notable leadership hires: Head of Operations, Product VP
EviSmart provides automation software for dental laboratory operations. The platform handles pre-fabrication tasks that labs currently perform manually, including case intake, data validation, and quality control scanning. Founded in 2007 and based in Vancouver, the company serves dental labs looking to scale without proportional increases in manual labor. The product suite includes a dentist-facing hub, secure patient information portal, cloud storage, and case management systems. The company employs 201–500 people and recruits across Canada, the Philippines, and China.
Cloud: Azure, Kubernetes, Docker. Languages: Python, .NET, PowerShell, Bash. DevOps: Azure DevOps, GitHub Actions, Terraform, Bicep. Collaboration: Jira, Confluence, Notion, Asana. Monitoring: SolarWinds, Nagios, PRTG, Zabbix. Support: Zendesk, HubSpot.
Active projects include AI platform capabilities for dental design, next-generation 3D visualization tools, CI/CD pipeline automation, case quality control workflows, customer onboarding improvements, and technology integration work.
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