Rasmus BlokJun 27, 20252 min read

WISEflow Originality by UNIwise Selected as Aarhus University’s New Plagiarism Detection System

27 Jun, 2025

PRESS RELEASE

UNIwise is proud to announce that its plagiarism detection solution, WISEflow Originality, has been selected by Aarhus University (AU) as the new system for text similarity analysis. Following a competitive Nordic tender process conducted in collaboration with the Royal Danish Library, WISEflow Originality emerged as the top choice, offering the best balance of price, quality, and functionality and ended up with the quality score 90/100.

KEY EVALUATION HIGHLIGHTS:

Implementation & Configuration: Originality was rated ‘excellent’ for its mature project planning, robust testing protocols, and clearly defined roles and responsibilities.
Functionality: The system supports a wide range of formats and platforms, features advanced text similarity analysis, and includes a forward-looking AI roadmap.
Support & Collaboration: UNIwise was recognised for its fast response times, well-documented processes, and proactive guidance and training.
User Experience: Originality will be fully integrated into the familiar WISEflow interface, ensuring a seamless experience for assessors and administrators alike.

STRATEGIC FIT AND FUTURE-READINESS

This means assessors will experience a familiar design and be able to access the plagiarism detection system quickly and intuitively during grading. WISEflow Originality introduces enhanced capabilities, including semantic similarity detection, which identifies deeper textual resemblance beyond simple word-for-word matches, offering a more advanced and reliable approach to academic integrity.

A COMMITMENT TO ACADEMIC INTEGRITY

With Originality, UNIwise continues its mission to support academic institutions in upholding integrity and streamlining assessment workflows. The solution is designed to empower assessors with efficient, reliable tools that enhance the quality and fairness of academic evaluation.

FOR FURTHER INFORMATION, PLEASE CONTANT

Steffen Lytgens Skovfoged,
CGO & Founder, UNIwise

steffen@uniwise.dk

Phone: +45 6053 3033

FREQUENTLY ASKED QUESTIONS

Thinking about switching to WISEflow? Find answers to the most frequently asked questions about functionality, implementation, and why institutions choose UNIwise.

How will WISEflow improve the digital exam experience for students?

Students gain a more intuitive and consistent exam interface, better access to materials and feedback, and a stable technical setup for both remote and on‑site exams. This helps reduce stress and improves clarity throughout the entire assessment process.

What operational benefits will instructors and administrative staff experience?

WISEflow significantly reduces manual work by automating exam creation, role assignment, and data flows through integration with STADS. This lowers the risk of administrative errors and frees staff to focus on academic quality rather than repetitive tasks.

What makes WISEflow a reliable choice for secure digital and on-site exams?

WISEflow supports the full exam lifecycle, from creation to grading, while offering robust security for supervised on‑site exam environments. Integrations and secure workflows ensure that both students and staff can trust the platform during high‑stakes assessments.

How does WISEflow differ from other digital assessment platforms? WISEflow stands out by offering a unified solution for the entire sector, strong integration with Student Information Systems (SIS), flexible exam formats, and a structured onboarding process. UNIwise acts as a strategic partner rather than just a vendor.

What makes WISEflow Originality technically strong compared to other systems?

Originality supports a wide range of file formats, advanced semantic similarity detection, and robust testing protocols. It also includes a forward‑looking AI roadmap, ensuring the system remains future‑ready and aligned with evolving academic integrity needs.

How does WISEflow Originality enhance academic integrity?

Originality uses semantic similarity analysis to detect deeper textual matches beyond simple word comparisons, offering a more reliable measure of originality. Combined with a secure, integrated workflow, it strengthens fairness, transparency, and the quality of academic evaluation.

Rasmus Blok