Scattered observations
Signals seen in different settings rarely form one coherent developmental story.
MVP development & validation stage
Every child develops differently.
Important signals should not be missed.
SparkidsAI is an AI-supported early awareness platform in development for children ages 3–13. It is designed to turn patterns from short, game-based tasks into clear developmental signals.
It does not diagnose. It is being built to help families and professionals begin better-informed conversations.
Reads patterns together
Creates a clear summary
3–13designed age range
5developmental domains
0diagnostic claims
Why SparkidsAI?
Developmental signals rarely appear in one decisive moment.
Small signs related to attention, language, social communication or motor planning can be scattered across home, school and play. Families may not know what to observe, and expert conversations can begin with fragmented information.
Uncertain waiting
Families are often left alone with the question: should we wait or seek support?
A longer path to support
When the right questions are asked late, the route to appropriate support may take longer.
SparkidsAI addresses this gap through structured observation and early awareness — not diagnosis.
How it works
From observation to a more meaningful starting point.
The experience is designed to turn everyday task performance into a clear, shareable summary without overwhelming families with clinical language.
Brief context
A parent shares essential age and developmental background information.
Game-based tasks
The child completes short, guided activities adapted to their age.
Pattern analysis
Response time, errors, repetitions, consistency and task-specific behavioural signals are considered together.
Clear guidance
Families see strengths and signals worth monitoring, and can prepare for an expert conversation when needed.
Developmental domains
More than a single score
The goal is not to label a child, but to make recurring patterns across different tasks easier to see.
Attention & consistency
Response time, repetition, errors and variation across tasks
Language & speech
Production and pronunciation signals in age-appropriate verbal tasks
Social communication
Imitation, instruction-following and interaction patterns
Motor planning
Movement sequencing and visual-motor task performance
Visual perception
Matching, discrimination and spatial organisation patterns
Product experience
An experience that neither reduces a child to a score nor leaves a family with uncertainty.
The screens below show the current MVP built for controlled testing. Final assessment language will evolve through expert feedback and pilot validation.
MVP screen · Not publicly available
Who it is for
Three perspectives on the same developmental story.
Families
To understand what to observe and arrive better prepared for an expert conversation.
Professionals
To use family observations and task patterns as a more structured starting point.
Organisations
To make early awareness more accessible through ethically designed, controlled pilots.
Responsible AI
When children are involved, trust cannot be an afterthought.
SparkidsAI places clinical boundaries, child privacy and human oversight at the centre of product design. Unvalidated outputs are never presented as definitive conclusions.
Privacy and human oversight at the centre
Awareness, not diagnosis
Outputs are not clinical diagnoses or treatment advice. They are developmental signals that can support appropriate referrals.
Explicit, task-specific consent
When audio or camera input is needed, parents are told what is used, why it is needed and asked for explicit consent.
Human oversight
Model outputs do not replace professional judgement. Validation and interpretation are designed to remain human-centred.
Validation before claims
Product impact claims will not expand beyond the evidence established through controlled pilots and expert agreement.
Where we are today
Validate responsibly first. Scale second.
SparkidsAI is not publicly available yet. We are progressing through an interactive MVP, expert review and controlled pilot design.
Completed
Interactive MVP and core task flows
In progress
Expert review and refinement of reporting language
3
Next
Institutional pilot, user feedback and structured validation
4
Then
Controlled access after safety and validation thresholds are met
About us
It started with a need to make overlooked children easier to see — not with the technology.
SparkidsAI grew from founder Güneş Etiksan’s lived experience as a parent and her work across child development, neurodiversity and technology. The team is building a product that does not amplify anxiety or replace professionals, but makes the path to appropriate support easier to understand.
“Making overlooked children easier to see.”
GE
Güneş Etiksan
Founder · Product & child development
KE
Kazım Etiksan
Technology lead
EF
Emir Fent
AI development
BR
Büşra Ragıpoğlu Günsay
Expert psychologist · Advisor
Frequently asked
Clear answers. Clear boundaries.
Does SparkidsAI diagnose children?
No. SparkidsAI does not provide a clinical diagnosis or replace a professional assessment. Its purpose is to organise developmental signals and make appropriate referrals easier when needed.
Can families download the app today?
Not yet. The product is in a controlled MVP and validation stage and is not publicly listed in app stores.
Are camera and microphone inputs used in every task?
No. They are planned only for tasks that require them, with explicit parental consent and a clear explanation of purpose.
Can organisations become pilot partners?
Yes. We are exploring controlled pilots and expert collaborations with schools, clinics, municipalities and child-development organisations.
Validate with us
Together, we can make early awareness more accessible — and more responsible.
Join SparkidsAI’s validation journey as a pilot organisation, expert advisor or strategic partner.
Start a conversationhello@sparkidsai.com