The startup operates a web platform that utilizes AI and neural networks to analyze and assess the real skills of workers through big data analytics. This technology enables companies to efficiently identify and select the most suitable candidates from a pool of CVs, enhancing the hiring process.
Funding
$290K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional methods of candidate selection often involve manually sifting through numerous CVs, a time-consuming process that can lead to overlooking qualified individuals. Ensuring compliance with GDPR and effectively managing candidate data adds further complexity to the hiring process.
Solution
LearK offers a web platform that leverages AI and neural networks to streamline the candidate selection process. The platform analyzes and assesses the real skills of workers through big data analytics, enabling companies to efficiently identify and select the most suitable candidates from a pool of CVs. LearK's system is designed to be GDPR compliant, automatically updating and archiving CVs in the cloud, thereby reducing administrative burdens and minimizing the risk of non-compliance. The platform also provides a widget to collect and manage CVs automatically, ensuring privacy regulations are respected.
Target Audience
LearK primarily targets companies, employment agencies, training organizations, and volunteer associations seeking to streamline their recruitment processes and efficiently identify qualified candidates while adhering to data privacy regulations.
Features
- AI-powered analysis of CVs to identify key skills and qualifications
- Big data analytics to assess candidate suitability based on real-world skills
- GDPR compliance features to ensure data privacy and security
- Automated CV collection and management through a dedicated widget
- Cloud-based storage and updating of CVs
- Candidate filtering and real-time viewing
- Functionality to group similar CVs