NEXT GENERATION MENTAL HEALTH
The right support, to the right person, immediately.
Me-Aware by Helpnet is an enterprise mental health platform that identifies what kind of support someone needs and routes them to the right professional, in real time. Deployed by governments, health systems, and EAP providers.
The platform
From conversation to
coordinated care
A four-step process that takes someone from self-identification of need to professionally matched support.
Anonymously, compliantly, and at scale.
01
Personalised conversation
A structured, empathetic conversation. With easy to understand, simple language to gain an understanding of mental health, financial, physical and social wellbeing.
02
Triage, analysis and self-care
The Me-Aware engine analyses the conversation, identifies risk indicators, and generates a recommendation — categorised by type and urgency of support needed.
03
Matched referral system
The individual can be connected to the right professional — psychologist, GP, financial counsellor, or crisis service.
04
Outcomes and insights
Deploying organisations receive aggregated, anonymised population data via the management dashboard — measuring programme impact and informing investment decisions.
Deployment contexts
Built for organisations
Population-level triage at scale
State and federal health departments need to understand community mental health trends, identify at-risk populations, and deploy resources where they are most needed. Me-Aware provides the real-time intelligence layer that makes this possible.
- Aggregated population dashboards for regional health commissioners
- Clinical governance documentation for government procurement requirements
- Anonymous data collection — fully compliant with Australian Privacy Act
- Outcomes reporting suitable for ministerial briefings and budget submissions
Replace intake forms with intelligent triage
EAP providers face increasing pressure to demonstrate faster time-to-support and measurable outcomes. Me-Aware replaces slow, generic intake processes with a triage engine that routes employees to the right support from day one.
- White-label deployment under your brand in under 4 weeks
- Replaces generic intake forms with a 8-minute intelligent conversation
- Warm handoff to your provider network with pre-completed triage report
- Per-employee ROI reporting for corporate client renewals
- Integration with major EAP platform providers
Earlier intervention, lower claims cost
Private health insurers can demonstrate preventative health value to members and regulators by deploying Me-Aware as an intelligent front door for mental health support — routing members to appropriate care before crisis occurs.
- Reduce downstream claims costs by catching presentations earlier
- Demonstrate preventative health investment to APRA and PHIAC
- Branded member portal integration in under 6 weeks
- Annual population health report for board and regulator submissions
The intelligent front door for crisis response
During crisis events — natural disasters, community trauma, public health emergencies — Me-Aware provides a rapid-deployment triage layer that routes affected individuals to appropriate services without overwhelming crisis lines.
- Deployable within 48 hours via crisis response protocol
- Identifies crisis-level presentations and escalates immediately to human oversight
- Built-in connections to Lifeline, Beyond Blue, and 000 for acute risk
- Population-level data for emergency management organisations
- Used in disaster response and community recovery contexts
Deployment options
How organisations deploy Me-Aware
Three deployment models designed to fit different procurement environments, from rapid pilot to enterprise-wide rollout.
Ready to deploy Me Aware in your organisation?
Request a confidential briefing. We will walk you through the platform, the deployment options, and what a pilot programme looks like in your context.
We respond within one business day. All conversations are confidential. No sales pressure — we want to understand your context before we pitch anything.