Built for a broad range of educational institutions and support teams
Designed for institutions that want stronger cohort-level visibility, evidence-based wellbeing planning and structured insight to support staff review.
Universities
Supports student success, wellbeing and retention conversations with cohort-level insight across faculties, year groups and broad student populations.
Further Education Colleges
Helps colleges understand wellbeing and academic pressure themes affecting 16–19 and adult learners so pastoral planning can be more evidence-informed.
Schools & Multi-Academy Trusts
Provides structured cohort-level wellbeing insight across a school or trust context, supporting leadership, governors and pastoral teams with comparable evidence.
Student Wellbeing Leaders
Supports clearer understanding of emerging wellbeing themes, helping leaders prioritise review, communicate needs and strengthen the case for support resources.
Safeguarding & Pastoral Teams
Provides anonymised, aggregated cohort-level insight to inform pastoral review, duty-of-care planning and broader support discussions within existing governance structures.
Academic Quality & Retention Teams
Helps institutions explore how reported academic pressure, workload design and wellbeing themes relate to progression, support planning and course review discussions.
Security, privacy and responsible design at the core
Eudemonic AI is designed for sensitive wellbeing-related information. Privacy, governance and human oversight are built into the product approach from the outset.
UK GDPR-Conscious Design
Designed with UK GDPR principles in mind, including data minimisation, purpose limitation and governance awareness. Institutions remain responsible for their own legal basis, governance and deployment decisions.
Anonymised, Aggregated Outputs
Analytical outputs are intended for cohort-level interpretation rather than individual profiling. Access is managed so insight is available only to authorised institutional staff.
Human Oversight is Essential
Eudemonic AI is designed to support staff judgement, not replace it. Outputs should always be interpreted by appropriate professionals within institutional processes.
No Automated Student-Level Decisions
The platform is not intended to trigger automated disciplinary action, diagnostic conclusions or automated safeguarding decisions about individual students.
Responsible AI in Education
The product is positioned around transparency of purpose, fairness, proportionality and careful use within educational settings rather than hidden or overly automated decision-making.
Security Validation
Security-related development has been informed by external software security testing and broader platform hardening work undertaken through innovation support and technical review.
Institutional Governance First
Eudemonic AI is intended to sit within existing institutional governance, safeguarding and wellbeing structures rather than bypassing them.
Student-Transparent by Design
Institutions should communicate clearly with students about the purpose of the survey, the level of anonymisation applied and how resulting cohort-level insight may be used.