Predict, Prevent, Protect.
NeuroCare AI helps care teams notice early indicators of distress and risk, so they can step in sooner and reduce crises for people with learning disabilities, autism and complex needs.
Instead of relying on paper notes and memory, NeuroCare AI turns everyday observations into clear patterns and gentle early‑warning prompts. It is designed as a trauma‑informed, least‑restrictive decision‑support tool that works alongside your existing care records – not instead of them.
The problem: early signs are missed, crises repeat
People often show clear early signs that they are becoming distressed – changes in sleep, pacing, withdrawal, increased anxiety – but current systems are not built to notice these patterns across days and shifts. As a result, support teams are often pulled in only once behaviour has already escalated into self‑injury, aggression or an emergency call‑out.
Information is scattered in paper notes, handovers and disconnected systems.
Patterns of distress and triggers are hard to see and easy to forget.
Staff spend time firefighting instead of preventing crises.
Families and providers are left asking "could this have been avoided?"
Our approach: proactive, person‑centred decision‑support
NeuroCare AI does not replace professional judgement or care planning. It supports teams to notice patterns earlier, reflect together and take timely, least‑restrictive actions that are kinder for the person and safer for everyone involved.
Person‑centred and co‑produced
Built with people with lived experience, families and frontline staff, focusing on what actually happens in real services.
Trauma‑informed and least‑restrictive
Designed to reduce restraint, seclusion and emergency responses, not to justify them.
Human‑in‑the‑loop
All insights are prompts for reflection, not instructions. Final decisions always sit with the care team.
How NeuroCare AI works
NeuroCare AI works in phases. We start with simple, structured logging and pattern‑spotting that give immediate value. Over time, and only where appropriate and consented, we can add wearables and ambient sensors to provide even earlier indicators of distress and risk.
Capture what staff already notice
Staff record behaviours, suspected triggers, environment and what helped – in under a minute on phone, tablet or desktop. The system is designed to fit around real shifts, not add extra paperwork.
- Behaviour type, location, time and severity
- Triggers (e.g. noise, routine change, staff change, demands)
- Actions taken and what seemed to help
- Notes in the person's own language where possible
- Timelines of incidents and early‑warning signs
- Top triggers and times for each person
- Trends in severity and recovery
- Service‑level views to support clinical governance and CQC reviews
Turn notes into clear patterns
NeuroCare AI turns individual logs into timelines and pattern views for each person and for the service as a whole. This makes it easier to spot themes that would otherwise stay hidden in notebooks, spreadsheets or memory.
Early‑warning prompts – never commands
As patterns build up, the system highlights early indicators of increased distress or risk and prompts staff to pause, reflect and consider proactive, person‑centred support. Alerts are always explainable and always optional.
Example early‑warning prompt:
"Today looks higher risk for Alex this afternoon: poor sleep, more pacing than usual, and two recent noise‑related incidents. Consider offering a quieter space and an early check‑in."
Optional wearables and sensors, used with consent
For some people, optional wearables and ambient sensors can provide helpful additional information about sleep, movement and physiological stress. These are always consent‑based, adjustable and can be turned off or removed at any time.
What they track
- Movement and activity patterns
- Sleep timing and disturbance
- Heart rate and heart‑rate variability (HRV)
- Optional room‑level signals such as motion or noise levels
How we use them
- Build a personalised baseline for each person, not a generic "normal"
- Highlight changes that may suggest increasing distress or risk
- Combine sensor information with staff observations, never instead of them
- Present simple, plain‑language prompts to staff with clear reasons
Built for providers, aligned with regulators
NeuroCare AI is designed to fit the realities of UK health and social care. It supports providers to evidence safer, more proactive care while aligning with the NHS Long Term Plan, STOMP/STAMP principles and CQC "Safe" and "Well‑led" expectations.
What providers can expect
Helps reduce the number and severity of behavioural incidents and emergency call‑outs.
Supports earlier, calmer responses that reduce the need for restrictive practices and PRN medication.
Gives managers better visibility of patterns, supporting clinical governance and quality improvement.
Reduces time spent on paperwork through structured logs and automated summaries.
Strengthens evidence for CQC inspections and commissioner reviews.
Policy and regulatory alignment
NHS Long Term Plan
Supports the goal of reducing preventable health inequalities for people with a learning disability and autistic people by enabling earlier, data‑informed intervention.
STOMP/STAMP
Offers an alternative way to understand and respond to distress, helping services safely reduce over‑medication and use of restrictive practices.
CQC "Safe" and "Well‑led"
Provides clear, auditable evidence that providers are identifying patterns, learning from incidents and acting proactively.
Digital social care records
Designed to sit alongside and, where possible, integrate with existing digital care systems rather than replace them.
Ethics, safety and governance
Working with people who are often marginalised and over‑scrutinised means our standards for ethics and safety must be higher, not lower. NeuroCare AI is built on clear principles that protect people, support staff and reassure families, regulators and commissioners.
Our key principles
Human‑in‑the‑loop
All alerts are prompts for reflection, not instructions. Staff remain responsible for decisions and follow existing safeguarding pathways.
Least‑restrictive and trauma‑informed
The system is designed to reduce restrictive practices and crisis responses, not to justify them.
No diagnosis, no clinical authority
NeuroCare AI does not diagnose, assess capacity, or recommend medication or restraint.
Consent and choice
Wearables and sensors are optional, consent‑based and can be withdrawn at any time. People can still use the core platform without devices.
Data protection
We follow UK GDPR and NHS digital guidance. Data is minimised, encrypted in transit and at rest, access is role‑based and auditable.
Transparency
Alerts and insights come with simple explanations of what patterns were seen so staff can understand and, if necessary, challenge them.
Our story
NeuroCare AI was founded by Ruth and Ellen who have worked both as data scientists and as support workers in UK services for people with learning disabilities and autism. We have seen, first‑hand, how often early signs of distress are spotted but not joined up, leading to repeated crises for people we care about.
We are building NeuroCare AI to change that – not by replacing human care, but by giving teams better tools to notice patterns, act earlier and reduce harm. Our work is co‑produced with people with lived experience, families and frontline staff, and grounded in neurodiversity‑affirming, trauma‑informed practice.
Stay updated
Be first in line as we pilot NeuroCare AI with leading learning disability and autism services. Join the waitlist for product news, pilot opportunities and early insights from our research.
Contact
Have questions or want to learn more? Get in touch with our team.