PsyAvatar is a predictive monitoring platform that fuses AI-driven avatar interaction, clinically relevant acoustic biomarkers, real-time semantic analysis of free speech, and wearable physiology — delivering continuous, multimodal risk assessment for perinatal mental health.
Edinburgh Postnatal Depression Scale delivered through conversational avatar, enriched with semantic analysis of free speech — 17 lexical categories, VADER sentiment, and clinical flags extracted in real time.
Objective signal layer capturing pitch variability, prosody, speech rate, pause duration, and jitter — acoustic features correlated with depression severity in peer-reviewed literature.
Heart rate variability, sleep architecture, stress index, and activity patterns from consumer wearables — enabling continuous monitoring outside the clinic, between clinical visits.
Multimodal fusion generates a composite risk score that evolves over time — detecting deterioration trajectories before clinical threshold is reached, enabling earlier intervention.
Voice diary + wearable data stream between visits. Clinicians see real-time trends, not isolated snapshots — transforming episodic screening into longitudinal surveillance.
Built for GP surgeries, health visitor clinics, and home self-monitoring — reducing the burden on secondary care while improving detection rates in primary care and community settings.
Autonomic nervous system dysregulation — reduced HRV is a validated biomarker for depression and anxiety states.
Total sleep time, deep sleep ratio, wake episodes — disrupted sleep predicts PPD onset with high sensitivity.
Sympathetic/parasympathetic balance derived from photoplethysmography — captures chronic stress accumulation.
Step count, sedentary time, movement variability — psychomotor retardation is an early indicator of depressive episodes.
Continuous weight monitoring tracks postpartum recovery trajectory — abnormal weight patterns correlate with disordered eating and depressive states.
Composite pain index derived from physiological and behavioural signals — chronic pain is a comorbidity and predictor of perinatal depression onset.
Wearable physiology + voice biomarkers + semantic analysis converge into a single predictive score — no single modality achieves comparable sensitivity alone.
PsyAvatar's acoustic biomarker engine adds an objective signal layer to clinical assessment. Voice features are not used in isolation for diagnosis — they are combined with psychometric, semantic, and physiological data to generate a multimodal risk profile that supports, rather than replaces, clinical decision-making.
Automatic risk stratification across your entire caseload. Patients are ranked by composite risk score — critical cases surface immediately, reducing time-to-intervention from weeks to hours.
Deterioration trajectories are flagged before clinical thresholds are breached. Clinicians see which patients are worsening, not just who is currently symptomatic — enabling proactive, not reactive, care.
Continuous remote monitoring replaces repeated in-person screening. Clinicians focus clinical time on patients who need it most — reducing routine screening burden by up to 60%.
Voice-EPDS score correlation under analysis. Initial observations suggest pitch variability and pause duration show meaningful differentiation between low-risk and moderate-risk profiles. Full validation study with SCID-5 comparison planned with NHS Trust partners in 2026–2027.
Continuous monitoring detects deterioration weeks before standard 6-week postnatal check. Predictive risk scoring identifies at-risk mothers during the critical first 14 days — when intervention is most effective.
Earlier intervention reduces escalation to severe depression, psychosis, and hospitalisation. Lower rates of self-harm, bonding disruption, and infant developmental delay — measurable improvements in NICE Quality Standards.
Improved maternal mood correlates with stronger bonding, better breastfeeding rates, and healthier infant attachment. Intergenerational impact: untreated maternal depression affects child cognitive and emotional development for years.
Perinatal mental health services, maternity units, community mental health teams. SaaS license per-trust.
Private insurers (Bupa, AXA, Cigna) — continuous monitoring reduces claims from maternal mental health complications.
NHS England, DHSC, WHO maternal health programmes, LMIC governments — population-level screening at scale.
HMOs, employer wellness programs, maternal digital health platforms — B2B2C integration via API.
Self-monitoring subscription for at-risk mothers — freemium model with premium wearable integration.
Specialist expertise in perinatal mental health assessment and psychometric validation.
Clinical oversight, study design, and medical advisory from university faculty and NHS-experienced clinicians.
Full-stack development, AI/ML pipeline engineering, vocal biomarker extraction, and wearable data integration.
EU and UK policy, privacy, and AI Act experts.
PsyAvatar is redefining how perinatal mental health is detected, monitored, and managed.