Cogni provides an AI‑driven mental‑health platform that ingests text, audio, and video from workplace tools to generate real‑time wellbeing risk scores across eight dimensions. The system automatically triages employees into care levels, offers a clinician‑validation interface, and delivers privacy‑preserving dashboards for HR and occupational health teams, all via secure APIs and SDKs compliant with HIPAA and GDPR.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often lack a unified mechanism to capture and interpret everyday employee interactions for early signs of mental health concerns, resulting in delayed interventions, fragmented care pathways, and inefficient allocation of wellbeing resources.
Solution
Cogni delivers an AI‑powered digital mental health platform that ingests text, voice, and video inputs from existing workplace tools and converts them into actionable wellbeing signals across eight dimensions. A real‑time triage engine applies natural‑language processing and multimodal analytics to generate risk scores and recommend the appropriate level of care. The platform supports professional validation, enabling clinicians or wellbeing officers to confirm assessments before escalation. Integration points—including REST APIs and SDKs—allow seamless embedding into HR systems, employee assistance programs, and occupational health workflows. Decision‑intelligence dashboards provide aggregated, privacy‑preserving insights into population wellbeing trends while maintaining HIPAA and GDPR compliance. By automating early detection and routing, the solution reduces unnecessary referrals, improves timely access to preventive care, and optimizes resource utilization for the organization.
Target Audience
Primary customers are HR departments, employee assistance program providers, and occupational health services within medium to large enterprises and public sector agencies seeking scalable mental‑health triage solutions.
Features
- Multimodal data ingestion (text, audio, video) from native workflow tools via secure APIs
- Proprietary AI models that analyze interaction patterns and produce risk scores across eight wellbeing dimensions
- Automated triage logic that classifies users into three care levels and triggers appropriate escalation pathways
- Clinician‑validation interface for professional review and manual override of AI recommendations
- Real‑time analytics dashboard with population‑level trend visualizations and role‑based access controls
- Full HIPAA and GDPR compliance with end‑to‑end encryption and audit logging
- Plug‑and‑play integration kit (SDKs, webhooks) for HRIS, EAP platforms, and tele‑health systems