HealthTech Mental Health Enterprise AI Quantum About Contact
Offering 02 — Mental Health

A companion that listens, remembers, and grows up with you.

Our advanced AI platform is embodied in social robots — physical presences, not screens. We begin with children, because the earliest years shape everything after them. Then we expand through adolescence, adulthood, and elder care.

emotion context memory ontology
A — RolloutStarting where it matters most

A lifetime of care, one stage at a time.

We didn't start with the easiest demographic. We started with the one most underserved by digital mental health — children — and with the form factor research shows yields the deepest engagement: a physical social robot with a stable, warm presence in the home.

Now — Live
Children
Ages 4–12. Play-based emotional regulation, anxiety support, and early social-emotional learning — co-designed with child psychologists.
Next
Adolescents
Ages 13–19. Identity navigation, exam stress, social dynamics — with strong privacy boundaries and clinician escalation.
Year 2
Adults
Workplace burnout, relationship support, grief, and clinical adjuncts — evidence-grounded CBT, ACT and mindfulness protocols.
Year 3
Elders
Companionship, cognitive engagement, loneliness mitigation, and medication-adherence prompts — dementia-aware design.
B — PlatformWhat makes it advanced

Six principles. One companion.

Longitudinal memory

Remembers the tiny details — the name of your pet, the tough week at school — inside an ontology that respects clinical privacy and can be audited or erased by the parent or guardian.

CBT-informed protocols

Conversational frameworks grounded in Cognitive Behavioural Therapy, Acceptance and Commitment Therapy, and motivational interviewing — adapted to each persona's developmental stage.

Crisis detection & escalation

Pattern recognition for self-harm, suicidal ideation, and acute distress — triggering immediate human escalation to a supervising clinician or designated carer.

Clinician supervision

A live dashboard for psychologists and paediatric specialists to audit sessions, flag concerns, adjust therapy plans, and intervene when signal patterns cross thresholds.

Privacy-by-design

Conversations with children are encrypted on-device first, transmitted only with explicit parental consent, and never used for model retraining. GDPR-K and COPPA aligned.

Multi-modal interaction

Voice, gesture, gaze and affect — the robot reads tone, facial expression and posture to calibrate its response. Because children express distress long before they find words for it.

24/7
Clinical escalation pathway
0%
Session data used for model training
3
Safety layers: on-device, on-network, on-human
100%
Parental consent & audit access
C — ResearchThe evidence behind the companion

Rigour is the whole point.

Mental health is the one domain where "move fast and break things" has human cost. Every feature we ship is built on peer-reviewed evidence, co-designed with clinicians, and tested against measurable outcomes.

Co-design

Developed with child psychologists, paediatric psychiatrists, and experienced educators.

RCT pipeline

Randomised controlled trials planned with NHS and university partners in 2026.

Ontology-grounded

Every therapeutic suggestion traces to ICD-11, DSM-5-TR, or a peer-reviewed protocol.

Outcome metrics

PHQ-A, GAD-7, SDQ and WHO-5 integrated for longitudinal measurement.

Ethics board

Independent oversight committee including a child-rights specialist.

GDPR-K · COPPA

Child-specific privacy frameworks built in, not bolted on.

A companion that grows up with you

Bring evidence-based presence into the home.