AI-powered medical imaging platform for enterprise PACS and diagnostic workflow
PaxeraHealth operates an enterprise imaging platform anchored in AI diagnostics (UltimaAI) and a no-code algorithm authoring system (ARK AI) for medical imaging. The tech stack is heavily Java/C#/.NET with cloud-native infrastructure (AWS, Kubernetes, Docker), paired with observability and orchestration tools (Prometheus, Grafana, Elasticsearch). Hiring velocity is accelerating across support and sales — a pattern typical of platform companies scaling customer onboarding and implementation rather than core product development.
Notable leadership hires: Chief Accountant
PaxeraHealth builds an enterprise medical imaging platform serving hospitals, diagnostic centers, and healthcare networks. The core product suite includes UltimaAI (an AI diagnostic assistant) and ARK AI (a no-code platform for building custom imaging algorithms). The company also maintains PACS (Picture Archiving and Communication System) infrastructure, teleradiology services, and integrations with EHRs and RIS/HIS systems. PaxeraHealth manages more than 220 million imaging studies across 1,000+ customers in 50 countries, operating from Boston with a distributed team across 12 countries. Founded in 2009, the company is privately held with 51–200 employees.
Java, C#, ASP.NET, Python, C++, JavaScript; cloud hosting on AWS with Terraform and CloudFormation; containerization via Docker and Kubernetes; observability via Prometheus, Grafana, and Elasticsearch; infrastructure-as-code via Ansible, Chef, and Puppet.
Boston, MA. The company was founded in 2009 and employs 51–200 people across 12 countries, with current hiring activity in the United States, Australia, Egypt, Portugal, Saudi Arabia, Morocco, and India.
PaxeraHealth'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.