How SuicideGuard Works
Our AI-powered approach to identifying at-risk individuals and connecting them with support.
Our Process
A step-by-step breakdown of how we identify and support at-risk individuals
Our AI scans public social media posts to identify patterns and language indicating suicide risk.
- Natural language processing identifies concerning patterns
- Machine learning models trained on verified risk indicators
- Continuous improvement through feedback loops
Trained professionals review AI-flagged content to ensure accuracy and determine appropriate response.
- Mental health professionals validate AI findings
- Risk level categorization (low, medium, high)
- Response protocol selection based on risk level
We connect at-risk individuals with immediate resources, crisis counselors, and ongoing support.
- Direct outreach through platform messaging
- Connection to local crisis resources
- Follow-up support and check-ins
Our AI Technology
SuicideGuard uses advanced machine learning algorithms to identify patterns in public social media posts that may indicate suicide risk.
- Natural Language Processing
Analyzes text for concerning language, emotional states, and explicit or implicit expressions of suicidal ideation.
- Pattern Recognition
Identifies changes in posting behavior, social withdrawal, giving away possessions, and other warning signs.
- Continuous Learning
Our AI improves over time through feedback from mental health professionals and outcomes data.
Privacy & Ethics
Our commitment to responsible AI and ethical intervention
We only analyze publicly available posts
All data is anonymized during processing
Strict data retention policies
Regular security audits and compliance reviews
Transparent opt-out process
Independent ethics board oversight
Human review of all AI-flagged content
Compassionate intervention protocols
Regular bias audits and corrections
Transparent reporting on outcomes
SuicideGuard is committed to balancing the urgent need to prevent suicide with respect for privacy and ethical considerations. Our approach is guided by mental health professionals, ethicists, and privacy experts.
Read Our Full Privacy PolicyFrequently Asked Questions
Common questions about our technology and approach
Our AI has a 94% accuracy rate in identifying high-risk cases, as validated by mental health professionals. All AI-flagged content undergoes human review to minimize false positives and ensure appropriate intervention.
Our team of mental health professionals reviews the case and determines the appropriate level of intervention, from providing resources to direct outreach. In urgent cases, we may contact local emergency services if necessary to prevent immediate harm.
We only analyze publicly available posts, anonymize all data during processing, and follow strict data retention policies. We're transparent about our practices and provide an opt-out mechanism for those who don't wish to be included.
Yes, you can use our referral system to alert us about someone you're concerned about. We'll review their public social media activity and determine if intervention is needed, while keeping your referral confidential.
Yes, we partner with educational institutions to help identify at-risk students and provide support. Our campus programs include training for staff and integration with existing mental health resources.
Organizations can partner with us in various ways, from implementing our technology to sponsoring our work. Visit our Partner With Us page to learn more about collaboration opportunities.
Ready to Make a Difference?
Join us in our mission to prevent suicide and support those in need