Textkernel, specialist in machine intelligence for matching supply and demand on the job market
Textkernel is the international leader in Artificial Intelligence (AI), Machine Learning and Semantic Technology for matching people and jobs.
Textkernel enables thousands of recruitment & staffing agencies, employers, job boards, HR software vendors and outplacement & redeployment agencies worldwide to work smarter and more effectively by creating efficiencies in the HR and recruitment process.
With Extract!, its advanced resume parser, Textkernel radically changes the candidate experience by offering a one-click mobile application process and automatically parsing relevant information from resumes, and social media profiles. With Jobfeed, Textkernel aggregates information from millions of jobs found on the web. Combined with Search! and Match!, its products in the field of semantic searching and matching, Textkernel gives its customers the right intelligent tools for connecting supply to demand in the job market.
Textkernel’s products can be integrated into any ATS, CRM of HR Software system. Contact Textkernel to find out more.
The company was founded in 2001 as a private, commercial R&D spin-off. Its focus: research in Natural Language Processing and Machine Learning at the Universities of Tilburg, Antwerp and Amsterdam. The Textkernel team comprises over 90 employees, mostly experts in the field of language technology and software engineering at PhD and MSc level, from over 20 different countries. Interested in career opportunities at Textkernel? Visit our careers site.
Powered by AI, Machine Learning and Semantic Technology
There are three core ingredients behind Textkernel’s success:
Semantic understanding of documents (CVs, job ads) and queries
Advanced searching and matching
HR domain knowledge
AI and Machine Learning technologies are the driving power behind this. Machine Learning enables our models to be more accurate and robust. Semantic search judges the relevance of a document based on a sophisticated model that understands what you mean rather than the the keywords that you type. In addition, a domain-specific semantic layer is needed to provide meaningful search results. Textkernel’s data-driven and extensive HR domain knowledge provides this final ingredient for state-of-the art parsing, searching and matching results.
For more information about Textkernel’s technologies, please visit our technology page.
Textkernel: origin of its name
Textkernel’s name has its origins in computer science. ‘Kernel’ is the technical term for the core of an operating system. Textkernel’s technology operates around the core, the essence of the text. A kernel is also a mathematical concept from the theory of Machine Learning. That is how the name Textkernel originated: ‘the core engine that learns the meaning of text’.