Wellbeing

Musical neuroscience for corporate wellbeing

Client: Wellbeing Tech · Emotional AI

Client
Wellbeing Tech · Emotional AI
Sector
Wellbeing
Alignment with today's offering
Super apps
The Challenge

The starting point

Wellbeing programmes were generic and had no objective impact metrics.

The Solution

What we built

We built a musical neuroscience platform that assesses daily stress, energy and focus and generates personalised sound sessions, developed with 5 PhDs and neuroscience labs, with an aggregated anonymous dashboard for HR.

Key features
  • Daily assessment of stress, energy and focus
  • Personalised AI-generated sound sessions
  • Aggregated anonymous dashboard for HR
  • Protocol validated over 12 weeks
  • Proprietary NextAI audio engine
  • Wearable integration

Anatomy of the solution

Individual personalisation, aggregate understanding

From input to outcome: explore the four parts of the journey.

Assessment

Daily recording of stress, energy and focus.

Explanatory diagram based on the described solution. It simplifies the journey; it is not a deployed infrastructure diagram or a live monitor.

Reading the project

The thinking behind the technology

01 / Business

What really needed solving

A generic wellbeing programme treats different situations alike. This case describes an experience that gathers stress, energy and focus to personalise sound sessions. The HR dashboard uses an anonymous aggregate view, distinct from the individual experience.

02 / Design

Why this structure matters

Separating personalisation from organisational observation is the essential principle. People receive adapted sessions; the organisation sees aggregate trends. Self-reported assessments can track an experience, but are not clinical diagnoses or objective biomedical measurements.

Connection to today’s offering

Super apps

The system where the process lives

Explore the service

Current relevance and possible evolution

This connects to Super apps as a specialised product with role-based experiences. Any agent extension should preserve consent, data minimisation and separation of individual wellbeing from employment decisions.

This connects the case experience to our current services. Proposed extensions are not presented as features already delivered.

Impact
40%
less perceived stress
30%
better focus
25%
more engagement
12 wks
validated protocol

Method and scope

How to read the outcome

What to measure

Explain instruments, sample size, duration and evaluation methods. Distinguish perceived stress from clinical indicators and avoid causal claims without an appropriate study design.

What not to infer

The case mentions a twelve-week protocol and scientific collaboration but does not provide a study publication here; it is not clinical evidence or medical advice.

Basis of this analysis: the description, capabilities and stack published in this case. No new measurements are added and no independent audit of its results is implied.

Tech stack
Motor NextAIReactPythonTensorFlowAudio Processing
In context

How it fits with the rest

NextAI

Does your company need this?

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