Conversation AI built for healthcare that streamlines phone-based administrative work
Stage
Not given
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Founded
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Based in
AU
US
Pricing model
Not given
Contact for pricing
Pricing
Free app with optional paid devices: I'M SAFE Tag Classic, I'M SAFE Tag Pro (rechargeable, IP67 water-resistant), I'M SAFE Alarm Classic (135 dB), and I'M SAFE Alarm Metal physical devices available for purchase.
Not given
Key features
Private Bubble groups for choosing who to share with
Journey feature to follow trip progress until ended
Zones with arrival and departure notifications at saved places
SOS alerts to selected Bubble contacts with live location
Live location links shareable for 1, 3 or 7 hours
Private Vault with AES-256-GCM encryption for notes, photos and files
Chat within Bubbles
Optional Bluetooth SOS Tags with physical button
Standalone Personal Alarms with 135 dB siren without phone required
Community in select cities with moderated guides and conversations
Claims Work Console for streamlining phone-based billing work
Enterprise-grade conversational AI powered by real-time inference engine
Integrated multimodal communications stack for voice, text and chat
Portfolio of AI agents for healthcare job functions and tasks
Human-agent teaming software that augments existing staff
Rapid-training service for automating provider payer mix
Real-time human visibility and control for trust and transparency
What makes it different
Works as free app alone with no device purchase required
User controls all sharing: invite-only Bubbles with individual on/off for each group
Does not contact emergency services; focuses on connection to chosen trusted people
Emphasis on relationship support and preparation rather than surveillance
Optional devices available: rechargeable water-resistant Tags or standalone alarms
AI agents operate at four to five times the pace of human partners for a fraction of the cost
Purpose-built for healthcare with conversational AI expertise
Quickly deployable and integrable into any environment
Human-centered AI teaming approach puts humans in the driver seat