Local pseudonymisation
Pupil names are replaced before AI processing.
Early pilot platform for schools
Privacy-first AI tools for schools.
ChalkboardAI helps teachers and SEND professionals reduce workload while keeping pupil data protected. Every tool is built around local anonymisation, teacher oversight and practical school workflows.
Pupil names never leave your device in identifiable form.
ChalkboardAI anonymises pupil information locally before any AI processing takes place.
The challenge
Schools want useful AI without losing control of pupil data.
Teachers need workload support that fits the way classrooms, SEND provision and school routines actually work.
Pupil information must be handled carefully, with identifiable details protected before any AI processing takes place.
Many general AI tools are not designed around school workflows, review points or the practical judgement teachers bring.
How it works
Built around careful handling, clear review and real school tasks.
Teacher control
AI suggests. Teachers review, edit and decide.
Built around school workflows
Designed for reports, PLPs, intervention planning and classroom support.
Chalkboard Class Record
Upload class information once, then use it carefully across tools.
The Chalkboard Class Record lets teachers upload class information once and use it across multiple tools. ChalkboardAI then extracts only the information each tool needs, reducing repeated data entry and supporting safer AI workflows.
- Upload once
- Use across tools
- Request only relevant fields
- Protect pupil identities through local anonymisation
Tools
Practical support for classroom and SEND workflows.
Reports Assistant
Drafts report comments using relevant class context while keeping pupil identities protected.
PLP Assistant
Supports teachers and SENDCos in reviewing provision and drafting SMART next targets.
Intervention Rota
Builds practical intervention schedules from class needs, timetable constraints and adult availability.
Pilot access
Currently in pilot development with selected school users.
ChalkboardAI is currently in pilot development with selected school users. Pilot access is managed through access codes so usage can be reviewed safely and feedback can shape the product.
Privacy
Privacy-first by design.
ChalkboardAI is designed to avoid sending identifiable pupil information to AI models. Names are anonymised locally before processing, and teachers remain in control of what is generated, reviewed and used.