Possara Quantum AI provides an integrated healthcare intelligence platform combining fall prevention and early risk detection for aging populations with quantum-driven drug discovery. The platform includes AI-powered tools for mobility assessment, home safety evaluation, and referral coordination, while its discovery engine maps chemistry and prioritizes drug candidates before biological testing.
Funding
Funding not disclosed
Founders
Product
Problem
Falls among older adults often trigger cascading health declines, repeat incidents, hospital readmissions, and caregiver strain, yet risk factors are typically only addressed after a crisis occurs. Fragmented care systems lack integrated tools to identify early warning signs across medical history, mobility, home environment, and service access, leaving preventable decline unaddressed.
Solution
Possara Quantum AI delivers a prevention-first healthcare intelligence platform that consolidates aging-risk signals into a single clinical pathway. LongevityX identifies and prioritizes individuals with rising risk before decline accelerates, while Gait analyzes short walking videos to reveal mobility patterns through AI, with licensed physical therapists reviewing recommendations. SureStep assesses home safety through photos and structured intake, reviewed by occupational therapy experts, and KokuaNet closes referral gaps by tracking outreach and verifying service delivery. For drug discovery, Possara Quantum acts as a decision-compression engine that maps known chemistry, generates molecules under structural constraints, and prioritizes test-ready candidates to reduce trial-and-error in pharmaceutical research.
Target Audience
Primary customers are governments, hospitals, clinics, community organizations, and aging-care providers seeking integrated fall prevention and care coordination tools, as well as biomedical and pharmaceutical partners interested in accelerated drug candidate discovery.
Features
- LongevityX risk stratification tool that identifies at-risk individuals using medical history, mobility data, and social determinants of health
- Gait AI system that converts short walking videos into quantified mobility assessments covering balance, stability, and cadence
- SureStep AI-assisted home safety assessment reviewing bathroom, bedroom, stairs, entryways, lighting, and flooring with occupational therapy oversight
- KokuaNet referral coordination platform that tracks outreach, follows up, and verifies whether patients actually received community services
- Quantum-driven drug discovery engine that maps known chemistry and identifies promising molecular white space within strict structural constraints
- Regional deployment model supporting customization for local languages, clinical protocols, provider networks, and data governance requirements
- AI-organized workflows with licensed clinical review from physical and occupational therapists before recommendations enter care plans