Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Inspera Acquires Crossplag, Adding Advanced AI-Enabled Plagiarism Detection to Digital Assessment Ecosystem

Inspera, a leading provider of digital assessment solutions, announced the strategic acquisition of Crossplag, a powerful tool for originality checking and AI authorship detection.

Read More about AiThority InterviewAiThority Interview with Bill Patterson, EVP and General Manager, Applications at Salesforce

Inspera’s cloud-based assessment ecosystem offers a comprehensive suite of capabilities for seamless assessments. Starting with planning and design, through to delivery, and grading across various formats. Assessment types include formative, summative, and diagnostic exams, coursework, tests, quizzes, term papers, and more.

By incorporating Crossplag’s expertise and technology, Inspera aims to further enhance its solutions, each of which empower educators and institutions to deliver authentic assessments with ease.

With the full incorporation of Crossplag into the Inspera digital assessment and remote proctoring ecosystem, clients can expect tighter integration of originality checking and AI writing detection capabilities. Crossplag is the first and only plagiarism detection tool to work across a large number of languages, including translations. This means student submissions can be checked for cross-language matching and originality.

AiThority Interview Insights: How to Get Started with Prompt Engineering in Generative AI Projects

Related Posts
1 of 41,024

We understand that institutions, educators and students want to be assured that their degrees and qualifications have integrity at their core. With the recent rapid rise and widespread availability of AI tools, the need for AI writing detection has been elevated to the same level as originality and similarity checking. The incorporation of Crossplag capabilities in all of these areas will enable institutions to assess with greater confidence.

Crossplag’s AI writing detection capabilities, coupled with the subject expertise of educators make for a powerful combination in upholding standards and integrity.

This acquisition is set to accelerate the impressive work accomplished by Crossplag so far. This will ensure Inspera’s clients and partners benefit from innovative solutions designed to meet their evolving needs.

“We are thrilled to welcome Crossplag to the Inspera family,” said Andrew Cons, Global CEO at Inspera. “This acquisition aligns with our commitment of continuous improvement and innovation of digital assessments. The integration of Crossplag’s capabilities will provide our clients with more robust tools that ensure academic integrity and foster fair assessment practices.”

“We are excited to join Inspera and take our originality solutions to new heights,” said Besart Kunushevci, Founder, CEO & Head of Products at Crossplag. “Our team has worked tirelessly for years to develop an advanced plagiarism detection technology that covers a vast array of languages and incorporates AI-driven writing detection. We have always prioritized data privacy and security, values shared by Inspera. Together, we aim to provide institutions worldwide with a robust and reliable alternative for upholding academic integrity that focuses on innovation, data privacy, and a more holistic approach to assessments.” ​

 Latest AiThority Interview Insights : AiThority Interview with Michael Schmidt, Chief Technology Officer at DataRobot

 [To share your insights with us, please write to sghosh@martechseries.com] 

Comments are closed.