Custom software and AI solutions for healthcare and enterprise automation
Aeroqube builds custom software and AI products for mid-market enterprises, with a sharp focus on healthcare AI and enterprise automation. The tech stack—Python, React, Node.js, GraphQL, Java—reflects a full-stack engineering operation. Notably absent: any LLM or AI-specific tooling in the adopting or using categories despite the LinkedIn headline calling out LLM orchestration, suggesting either that capability sits in custom client work or remains nascent internally. Current hiring is minimal (5 open roles, none posted in 30 days) and skews senior across ops, security, and sales—a profile typical of project-driven services firms managing delivery rather than scaling products.
Aeroqube is a Vancouver-based software development firm founded in 2017, operating at 51–200 employees. They deliver custom-built software, digital transformation, and AI solutions for enterprise and healthcare clients. Core service areas include product development, ERP and workflow automation, AI agent deployment, and mobile app development. The pain-point list—SIEM/PAM optimization, incident response, healthcare partnership expansion, Canadian market growth—points to a primarily security and healthcare-focused customer base. Active projects center on flex connector development, SOAR playbook creation, and PAM integration, indicating deep integration work rather than off-the-shelf products.
Frontend: React, TypeScript, Next.js, Angular, Redux. Backend: Python, Node.js, Java, GraphQL. DevTools: Webpack, Vite, ESLint, Prettier, Storybook. Testing: Jest, React Testing Library, Cypress, Playwright. Design: Figma, Adobe XD. Enterprise: VMware, SOAR.
Custom software development, AI in healthcare, SOAR/PAM integration, ERP automation, and workflow optimization. Current projects include flex connector development, OpenText SOAR playbook creation, PAM ecosystem integration, and Canadian market expansion initiatives.
Other companies in the same industry, closest in size
aeroqube inc.'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.