Silk Data

Silk Data

Looking for the company that will help your IT ideas and plans come true? Web and mobile development, IT consulting and prototyping, digital product maintenance and improvements – Silk Data makes all these services available for you.


We have been developing AI models with high data accuracy for more than 10 years, and our key experts have PhD degrees. Our team focused on NLP, AI consulting & development, Machine Learning Engineering, Data Science and application development for the fields of education and e-learning, finance, marketing, retail and ecology. With us, you will have a clear understanding of the entire solution development process thanks to a streamlined process and guaranteed reliable communication. With Silk Data, you can be sure that your data is in good hands. 

Contact Information

Silk Data
Meerbusch , Nordrhein-Westfalen Germany
Silk Data
Warsaw, Warsaw Poland

Plagiarism detection system Plagiarism detection system Visit Website

Education Social Enterprise E-commerce Business Intelligence Healthcare Social Media Legal Law Firm Automotive Government SaaS software

Timeline: 26 weeks   Amount: 10,001 to 50,000

Plagiarism detection system is specifically designed for proctoring providers and users, LMS providers and integrators, as well as universities and educational organizations. With our advanced technology, you can process several hundreds of exam scripts in just a matter of hours. The solution processes several hundreds of exam essays in a few hours, finding for the instructors only few highly similar pairs of exam scripts for manual inspection. The antiplagiarism solution is based on Silk Data’s proprietary document processing and analysis platform. It consists of a text extraction from PDF and other formats, text comparison engine, and visualization of results for analysis. Because the exam scripts may contain legitimate common pieces, the final solution acts more like a filter: it locates suspicious pairs of documents that reach a specified similarity threshold. After such filtering, it only takes a couple of hours for a human professional to manually review 20-30 pairs of documents.