Helfie.AI runs a mobile-first health detection platform built on iOS/Android with deep infrastructure investment in Azure, Kubernetes, and monitoring (New Relic, Sentry, Prometheus, Grafana). The project list reveals QA and automation are core operational constraints—mobile test automation, API testing, and CI/CD pipeline work dominate their backlog—suggesting the company is scaling user volume faster than test coverage can keep pace. Hiring is concentrated in senior engineering roles and infrastructure, paired with finance headcount, indicating simultaneous growth in product velocity and operational complexity.
Helfie.AI builds a smartphone-based health screening platform that uses voice, motion, breath, and biometric sensors to detect 30+ health conditions and provide personalized health insights. Founded in 2021 and headquartered in Melbourne, the company positions itself at the intersection of preventative care and consumer health technology. The platform spans iOS and Android, supported by Azure cloud infrastructure, containerized workloads on Kubernetes, and comprehensive observability tooling. The company operates at 51–200 employees and is actively hiring in Australia and India.
iOS, Android, Python, Java, Rust, Azure, Kubernetes, Terraform, New Relic, Sentry, Prometheus, Grafana, Elasticsearch, Firebase, and Azure DevOps. Testing tools include Postman, Appium, Espresso, and XCUITest.
Yes. 4 of 5 active roles are engineering positions, with seniority levels spanning senior engineer, principal, and engineering manager roles. Hiring is active in Australia and India.
Melbourne, Victoria, Australia. The company was founded in 2021 and is privately held with 51–200 employees.
Helfie.AI'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.