Amsterdam-based EdTech (2014) enabling AI-guided peer and self-assessment at 150+ universities; Automated Feedback Coach prompts richer peer reviews in real time; KU Leuven and Aalto adopted it in 2024; University of Oslo study (n=528) won Best Paper at Udit 2024.
528 students
Students in Oslo peer-review quality study (2024)
150+ universities
Universities using FeedbackFruits (as of 2024)
25 universities
Universities in 2024 Impact Report dataset (2024)
Details
Maturity
Established
Promoter
FeedbackFruits BV
Period
2014–present
Keywords
higher education, peer assessment, formative feedback, AI EdTech
Context
FeedbackFruits BV was founded in Amsterdam in 2014 to improve the quality and consistency of formative feedback in higher education, providing structured peer assessment, self-assessment, team evaluation and group-member assessment tools that integrate natively with Canvas, Brightspace, Blackboard and Moodle.
Objectives
The platform's core AI feature, the Automated Feedback Coach, analyses a student's draft peer review in real time and prompts them to add specificity, examples and actionable suggestions before submission — making AI support visible and pedagogically intentional rather than opaque. As of 2024 the company reports adoption at over 150 universities internationally.
Activities
KU Leuven (Belgium) began institution-wide adoption in September 2024, and Aalto University (Finland) has also deployed the platform; the 2024 Impact Report drew on data from 25 universities globally. Institutions retain full control over rubrics and assessment criteria and can configure the level of AI prompting to match their pedagogical approach.
Results
An independent controlled study at the University of Oslo examined peer-review quality among 528 students in large-enrolment courses and won the Best Paper Award at Udit 2024 (Norway's educational technology conference).
Conclusions
The platform is GDPR-compliant, headquartered in the Netherlands with data processed within the EU; the Oslo study provides independent evidence of peer-review quality gains, though broader peer-reviewed learning-outcome metrics for students are not yet widely published.
Implementation
Indicative cost
Medium (€50k–€500k) — Commercial institutional licensing (pricing not published); integrates with existing LMS infrastructure.
Time to results
Medium (1–3 years) — Institution-wide rollouts (e.g. KU Leuven, September 2024) suggest an onboarding timeline on the order of a semester to an academic year.
Staffing & skills
Institutional LMS/IT administrators handle integration with Canvas, Brightspace, Blackboard or Moodle, Faculty configure rubrics, assessment criteria and the level of AI prompting
Conditions for success
Native LMS integration lowers the adoption barrier for institutions
Institutions retain full control over rubrics and criteria
AI prompting (Automated Feedback Coach) is visible to students rather than opaque
Common failure modes
No explicit underserved-learner equity focus; pricing limits access to well-funded institutions
Peer-reviewed learning-outcome metrics for students beyond peer-review quality are not yet widely published