Care work comes first
We begin with the people, decisions and constraints already present in the workflow.
About SupaX AI
Building practical technology for the work of care
SupaX AI was founded in Sydney in 2025 by engineers from Atlassian and Microsoft.
Our story
Thoughtful product and engineering work matters when technology has to fit real teams, real constraints and important decisions.
We are focused on healthcare: helping providers and professionals adopt useful AI without losing the human judgement, existing systems and working practices that care depends on.
Our vision
Care technology that creates more room for care.
Care teams carry enormous practical knowledge, but too much of it remains trapped in hurried notes, handovers and disconnected systems.
We see a future where good documentation is easier to create, useful information is easier to find, and providers can understand what needs attention without asking frontline teams to do more administrative work.
That future depends on technology working quietly around the practice of care—not asking people to reshape care around the technology.
Built in Sydney, Australia, for care delivered wherever people need it.
Our mission
Reduce administrative friction and help care teams create clearer information for the work ahead.
SupaX AI focuses on two connected parts of the care workflow. Each product can stand on its own, and both are designed to fit alongside the systems providers already use.
01 · SupaX Note
Make care notes easier to create and review.
Turn spoken or typed information into a clear draft, surface possible gaps and keep final review with staff.
Explore SupaX Note → 02 · SupaX FlowConnect field work with the operational picture.
Bring rostering, check in/out and shift reporting into a simpler workflow for teams delivering care on the ground.
Explore SupaX Flow →How we build
Progress means technology that supports the people doing the work.
Human judgement stays visible
AI can organise a draft or direct attention. People review the content and remain responsible for decisions.
Adoption should be practical
A focused workflow that fits existing systems is more useful than change for its own sake.
Trust is earned in the details
We communicate boundaries clearly and avoid promises that the technology cannot support.
How we work
Close to the workflow. Clear about the boundaries.
Our approach combines product engineering, platform infrastructure and carefully scoped applied AI.
Start with the real work
We learn how information is captured, reviewed and used before deciding where technology can help.
Follow the evidence
We test assumptions against the experience of care teams and the outcomes a workflow needs to support.
Make boundaries explicit
We design human review into the product and communicate clearly about what AI does and does not do.
Improve in practical steps
Focused adoption, useful feedback and dependable foundations matter more than change for its own sake.
Next step