Kratt to bring job seekers and job providers together

Today's recruitment process is largely related to reading and sorting CVs, and thus it is possible to successfully use kratti for more efficient processing and analysis of information. For example, Skillific's artificial intelligence application can find and profile potential candidates for various jobs through the web, partner data and public databases, and also assess their suitability for these jobs. In the perspective of the next 5-10 years, according to the company, the entire recruitment process could be fully automated.

 

A crate-based solution

 

Today, Skillific is still in the test phase for teaching Krat, as there is not enough training data of good quality and volume to fully implement Krat. At the same time, the company operates in cooperation with Finesta Baltic based on their data, and thus the Skillific database already has about 400,000 user profiles and a smaller number of job profiles. Based on this data, kratt can predict the suitability of potential candidates for vacant positions and offers a better quality and solution in the form of easier data storage and collection, which is otherwise an extremely resource-intensive process and generally misses out on previously analyzed candidate profiles.

 

When matching potential candidates with the necessary skills for vacant jobs, Skillific's assessment is based, among other things, on the ESCO European classification of skills, qualifications and professions created by the European Commission, where the skill needs of many areas of life are defined. Based on this, kratt searches for skills in the profile of potential candidates that match the skills category similar to the job profile.

The result

 

With the help of Krati, or software based on machine learning, potential candidates for the job provider can be better found during labor recruitment by analyzing the necessary skills and knowledge. The company that developed the solution, Skillific, has set itself the goal of further developing its machine learning capabilities, among other things, in cooperation with large corporations, whose databases with data points related to recruitment processes enable it to be trained and make better recruitment recommendations. In the company's opinion, the development of the company's technology would also be helped if an environment similar to the Finnish MyData database was created in Estonia, which would allow the company to access a larger amount of data with the consent of the job seeker and thereby provide better service to both the job seeker and the job provider.

 

Performer

 

Skillific, a start-up company operating in Estonia, develops labor recruitment services using software based on krati, or machine learning, and enables the job provider to find potential candidates by analyzing the necessary skills and knowledge.