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VerifiedMental Health Care· Founded 2016

Verenigma

Verenigma is a digital health platform that uses AI voice analysis to measure stress, anxiety, and depression in less than a minute. Unlike self-report tools, Verenigma provides objective, real time insights into a person’s mental and emotional state-NOW. Why this matters: Schools: Teachers and pastoral teams can use our emotion-regulation reporting to understand how students are coping, spot hidden struggles, and guide interventions that support learning and wellbeing. Domiciliary & community care: Carers can track changes in clients’ emotional health, allowing for earlier action when stress or depression increases. Healthcare providers: Clinicians can integrate objective emotional data into assessments and treatment planning. Employers: Organisations can track workforce wellbeing trends (anonymised and aggregated) to improve support and resilience. Our mission: To give carers, educators, and organisations reliable, objective data on mental and emotional health, helping them deliver the right support at the right time. Products & Services real time emotional health reporting (stress, anxiety, depression) Voice-powered measurement: quick, non-intrusive check-ins Objective emotion regulation data: helping schools and care teams move beyond guesswork and self-report Data sharing dashboards for carers, teachers, and trusted organisations Early-warning trend detection for deteriorating wellbeing Featured Uses Schools: Help students build emotion regulation by monitoring actual emotional state trends. Provide pastoral care teams with objective reporting to guide support. Domiciliary care: Give carers insight into clients’ wellbeing day-to-day. Community & social care: Spot emerging emotional health needs early. Healthcare providers: Strengthen clinical decisions with objective data. Employers: Monitor group wellbeing trends to support staff resilience.

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HeadquartersRotherfield, United KingdomEmployees4(1 to 10)Founded year2016Websiteverenigma.comLinkedIn profileLinkedIn

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