CalmSphere uses predictive AI and wearable sensing to anticipate meltdowns before they happen, guide families toward the right response, and help the NHS prioritise children who need support most.
Families, schools, and healthcare systems face interconnected challenges that existing tools address in isolation — if at all.
Parents are trapped in a cycle of reacting to meltdowns after they happen. No tool anticipates crises before they escalate, leaving families in constant survival mode.
Over 236,000 people wait for assessment, all treated equally in the queue. Children with severe, urgent needs wait as long as those with milder challenges.
Parents use paper logs, teachers produce separate reports, clinicians rely on short consultations. No shared evidence base connects them.
Calming exercises aren't linked to the child's specific triggers. A breathing exercise is useless when the real problem is noise overload in a crowded hallway.
There are no structured, real-world datasets capturing autism behaviours and triggers over time. Policy is shaped without continuous lived-experience evidence.
Many support platforms are priced beyond the reach of families who need them most. Those with the greatest need often have the least access.
CalmSphere closes the loop from sensing to prediction to intervention to outcome — and feeds the evidence into the systems that decide who gets help first.
The app reads heart rate, skin temperature, and activity from affordable wearables, while the phone captures noise, light, motion, and location — building a continuous picture of the child's world.
Our AI builds a personal baseline for each child and detects when patterns shift toward distress. Every prediction carries a confidence score and plain-language explanation of the top contributors.
The Intervention Response Twin ranks which action is most likely to work right now — move to a quieter room, offer a sensory item, switch to visual prompts — based on the child's own response history.
After every intervention, the system measures what happened and recalibrates. Over time, the recommendations become a personal handbook that reflects the child — not a generic catalogue.
Daily data feeds into a transparent severity grade. With parental consent, this evidence flows into NHS referral systems — helping services identify which child needs faster attention.
A single ecosystem that connects daily life with institutional decision-making.
Personalised meltdown risk forecasting that adapts to each child's physiology, routines, and sensitivities — with on-device processing to protect privacy.
Patent PendingA decision-support system that estimates which therapeutic action is most likely to de-escalate distress for this child, in this context, right now.
Patent PendingYour phone becomes a context sensor — capturing noise, light, motion, and location to build an environmental fingerprint that reveals hidden triggers.
Works OfflinePairs with affordable smart bands to track heart rate, temperature, and activity. Supports CalmSphere branded devices plus Apple Health and Google Fit.
From £79A professional workspace that condenses signals into trends, outliers, and intervention response curves — saving hours and improving clinical decisions.
NHS ReadyAuto-generated reports aligned to Ofsted inspections and EHCP reviews. Group dashboards for behaviour, sleep, and environmental triggers across pupils.
EHCP AlignedLinks poor sleep to next-day meltdown risk. Shows how routines and interventions change both sleep quality and daytime regulation over time.
Closed LoopEvidence-based activities chosen by AI based on the child's current triggers. Breathing exercises, visual schedules, sensory breaks — ranked by what actually works.
PersonalisedCalmSphere's grading system converts daily lived experience into an objective score that helps services decide who needs attention first — without replacing clinical judgement.
Manageable episodes, stable sleep patterns, consistent routines. The family is coping well with current strategies and support.
Rising meltdown frequency, disrupted sleep, increasing caregiver strain. Patterns indicate growing need for professional input.
Frequent intense episodes, crisis service involvement, school exclusion risk. Evidence supports urgent prioritisation within referral pathways.
CalmSphere bridges the gap between the kitchen table and the clinic room.
Predict meltdowns, receive guided interventions, and build structured evidence that gives you a voice in school meetings and clinical appointments.
Save hours on reporting. Generate Ofsted-ready documentation and EHCP evidence from real-time data shared by families — with full consent controls.
Access severity trends, intervention outcomes, and structured profiles. Use transparent grading to prioritise assessment pathways fairly and efficiently.
Claire's eight-year-old son Daniel has been on the NHS waiting list for over a year. School mornings are the hardest — noise in the kitchen and the rush to the car trigger frequent meltdowns. She's tried everything, but teachers want structured evidence and the GP says the wait will still be months.
With CalmSphere, Daniel wears a comfortable wristband. One morning the app detects his heart rate climbing while his sister plays loudly. Fifteen minutes before escalation, Claire gets a quiet alert: move Daniel to a calmer space and use his visual morning schedule. She follows it. He settles. They make it to school without a crisis.
Over weeks, CalmSphere identifies that poor sleep nights predict difficult mornings. It suggests earlier bedtimes on active days. Meltdown frequency drops by a third. The SENCO sees the same data and adjusts lunch transitions. Meanwhile, Daniel's severity grade moves to red — and with Claire's consent, the structured report reaches his GP. His wait drops from eighteen months to six.
Start free, upgrade when you're ready. No child should miss out because of cost.
Core support with ad-funded access. Try the basics and see the difference.
Full predictive power. The complete family toolkit for proactive support.
Institutional packages for schools, trusts, and local authorities.
Hifsah brings over 13 years of experience in operations leadership, strategic planning, compliance, and multi-stakeholder coordination across high-pressure, safety-critical environments — including service with the Pakistan Air Force and the United Nations in the Democratic Republic of the Congo.
She combines deep operational rigour with growing expertise in behavioural support (RBT-trained, CBT-informed), technical skills in HTML, CSS, Java and React, and a founder's commitment to building technology that puts families first. Her cross-disciplinary background bridges clinical understanding, digital product design, and institutional procurement — exactly the blend CalmSphere demands.
Designed to meet DTAC, align with NICE evidence standards, and integrate with NHS referral and waiting list systems from day one.
Staged compliance roadmap aligned to MHRA guidance for AI as a medical device, with UKCA marking as the long-term endpoint.
UK GDPR compliant with on-device processing, parental consent workflows, and full data ownership for families. Built to exceed DTAC requirements.
UK validation creates the credibility for expansion into Ireland, Canada, USA, Australia, Germany, and the Nordics over five years.
CalmSphere's core technology is protected by a layered IP strategy covering patents, trademarks, and copyright across the UK and international markets.
Predictive meltdown algorithm with adaptive baseline calibration
Autism severity grading framework for NHS triage integration
CalmSphere brand, logo, and product line marks across health & education classes
Software code, dashboards, calming content library, and visual design systems
Join the families, schools, and clinicians shaping the future of autism care. CalmSphere is launching soon in the UK.
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