Minikai connects to the data your organisation already has — whether that's in Lumary, Salesforce, Nightingale, SharePoint, or uploaded directly. That data gets synced or imported into Minikai, where each person's records are indexed and made searchable by their Mini.
When you ask a Mini a question, it searches across the records on that person's timeline — progress notes, care plans, assessments, incident reports, charts, attached documents — and then generates a response grounded in what it finds. Every response includes numbered citations so you can see exactly which records the information came from.
Minikai is powered by a large language model that's been configured for the care sector. It understands NDIS and aged care terminology, uses person-centred language, and knows how to structure common documents like progress notes, family updates, and progress reports.
A Mini doesn't browse the internet or pull information from external sources. It only works with the data that's been provided for that specific person. All AI processing happens in Australian Azure data centres.
What a Mini produces is always a draft or a summary — not a clinical decision. You review, edit, and apply your own judgement before using anything it generates.
Need Help?
If you have questions you can message us anytime through the Help Desk in the app or on this page. We are here to help.