Individual baselines
Each child is compared only with their own usual rhythm.

AI infrastructure for school safety, behaviour & wellbeing
Neuralsight connects fragmented school signals — teachers, school data, student voice, incident reports and campus spatial sensing — into one contextual understanding, so the right adult can reach a child when support matters most.
Intelligence carries the context. People carry the care.
The film · 45 seconds
A quiet, human look at how NeuralSight turns everyday school signals into timely care.
Prologue · Every child has a story
A teacher notices one thing. The attendance record shows another. A student mentions something in passing; an old incident report sits in a different system. Each signal alone looks small. Neuralsight connects them — privately, carefully, and always with a person in the loop.
Each child is compared only with their own usual rhythm.
Small moments link across places and days into a visible story.
Teacher notes, school data, student voice, reports and campus spatial sensing — in one place.
From Camera AI to School Intelligence Infrastructure
Neuralsight connects fragmented school signals into one contextual intelligence engine — learning each child’s usual patterns over time, while people stay in control.
Everyday observations from the people who know each child best.
The moat is not one feature. It is context accumulated safely over time.

A child walking alone is not a problem. A child who usually walks with friends — and has stopped — may be a reason to listen. Neuralsight notices the change in her own rhythm and quietly surfaces it.
“A change from her own baseline, not a comparison with anyone else.”

Being left out once is part of growing up. Being left out on Tuesday, Thursday, Monday and again Friday is a story. A 14-day pattern memory links related moments across places and time.
“The moment passes. The pattern remains.”

Cameras don’t cover every corner, and Neuralsight never pretends they do. When a route leaves covered space, the record says so plainly — so staff know exactly where to look and ask.
“Uncertainty is retained, never smoothed away.”

Neuralsight learns each student’s usual rhythm — participation, movement, time with peers. When that rhythm shifts and stays shifted, the right teacher gets the context for a caring check-in.
“Changes are surfaced. Children are never labelled.”

For neurodivergent learners, the useful signal is often what helps. Neuralsight keeps support plans and observed responses together — without diagnosing ADHD or autism, and without inferring emotion.
“Context for the adult. Dignity for the child.”

Some moments can’t wait for a weekly report. When an interaction escalates, Neuralsight alerts the nearest responsible adult with just enough context to step in calmly.
“The measure that matters: how quickly the right adult reaches the right child.”
Illustrative scenes and fictional records. Overlays are conceptual, not measured results. Signals do not diagnose, infer emotion, or confirm bullying or abuse; staff review every source.
Chapter 07 · The team
Observations become connected timelines, reviewable case records and alerts for the people responsible for intervention. Agentic AI carries the context — your team makes every decision.

ASSIGNED HUMAN RESPONSE
Head of Year 7
Fictional record · illustrative workflow
Private by design
It should become a careful review, a conversation, and a next step someone owns.
Existing cameras become passive spatial sensors. Footage is converted to anonymised vectors on the school’s own devices.
Neuralsight understands context and change — not who someone is by their face.
Reviewable events and context, not hours of stored footage.
A gap in visibility remains a gap, never invented evidence.
Access, retention and identity handling follow your school’s requirements.
Every alert is a prompt for human review — never a conclusion.
Epilogue · Start a conversation
For schools, safeguarding professionals and partners who want a more connected understanding of the school day.