SURF and Npuls built EduGenAI, a sovereign, pseudonymised gateway to open-source and commercial LLMs (OpenAI, Llama, Mistral, Claude) for Dutch mbo/hbo/wo institutions. An independent DPIA published August 2025 found only 12 low residual risks before the pilot began.
12 risks
DPIA residual risks identified, all rated low (Aug 2025)
Details
Maturity
Pilot
Promoter
SURF / Npuls
Period
DPIA published 8 Aug 2025; pilot runs through the 2025-2026 academic year
Keywords
generative AI, data protection impact assessment, national AI infrastructure, higher and vocational education, privacy by design
Context
SURF (the Dutch higher-education ICT cooperative) and the Npuls programme built EduGenAI, a national gateway routing pseudonymised access to open-source and commercial LLMs (OpenAI, Llama, Mistral, Claude) for Dutch mbo/hbo/wo institutions, hosted via SURF's Amsterdam (Watergraafsmeer) datacentre for open-source models.
Results
An independent Data Protection Impact Assessment by Privacy Company (published 8 August 2025) identified 12 residual risks, all assessed as low after mitigations already built into the architecture (pseudonymisation, EU-hosted infrastructure, and exclusion of high-risk uses such as automated assessment or fraud detection). The pilot runs through the 2025-2026 academic year with institutions including the University of Twente; no learning or equity outcomes have yet been measured.
Conclusions
SURF and Npuls plan to develop EduGenAI into a standing national service from late 2026 if the pilot succeeds, making this a rare example of privacy governance built in before deployment rather than imposed after a violation.
Implementation
Indicative cost
High (€500k–€5M) — National platform build (SURF datacentre routing plus pseudonymisation layer for commercial APIs) funded via Npuls pooled institutional funding; no specific budget figure published.
Time to results
Medium (1–3 years) — DPIA published Aug 2025; pilot runs through the 2025-2026 academic year; planned transition to a standing national service from late 2026.
Staffing & skills
SURF (Dutch higher-education ICT cooperative) infrastructure and engineering team, Npuls programme, pooling funding and coordination across Dutch mbo/hbo/wo institutions, Privacy Company, commissioned as independent DPIA assessor
Conditions for success
Pseudonymisation of requests sent to commercial model providers so prompts cannot be linked to individual users
EU-hosted infrastructure for open-source models via SURF's own datacentre
Contractual exclusion of high-risk uses (automated assessment, fraud detection) from the platform's scope
Independent DPIA commissioned and published before rollout rather than after
Common failure modes
Pilot learning and equity outcomes not yet measured, so the effectiveness case remains unproven
Current scope excludes higher-risk use cases, limiting near-term utility
Where it fits
Governance type
national sector-cooperative (SURF/Npuls pooling public HE institutions)
Mauritius's Higher Education Commission published national AI governance guidelines in June 2025, grounded in the GDPR-aligned Data Protection Act 2017, …
Scotland's first national AI-in-schools guidance (Mar 2026) requires a data-protection impact assessment before any pupil-data AI tool is introduced and …