Veer utilizes machine learning and natural language processing to enhance job search experiences by allowing users to input broad queries without relying on specific keywords. The platform addresses the inefficiencies of traditional recruitment methods by providing relevant job opportunities from a dataset of over 50 million UK jobs, making career discovery more intuitive and engaging.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional job search methods often rely on specific keywords, which can be inefficient and limit the discovery of relevant opportunities, especially for those new to the job market or exploring career changes. This can lead to missed opportunities and a frustrating experience for job seekers.
Solution
Veer utilizes AI, specifically machine learning and natural language processing, to enhance the job search experience. The platform allows users to input broad queries without relying on specific keywords, enabling a more intuitive and engaging career discovery process. By leveraging a large dataset of UK jobs, Veer's search engine understands the job landscape and surfaces relevant opportunities based on the meaning of the user's query, casting a wider net to include potentially interesting and surprising roles. This approach aims to rebuild the recruitment infrastructure, focusing on user experience from career discovery to interviews.
Target Audience
Veer primarily targets students and newcomers to the job market, as well as experienced professionals seeking career changes or those re-entering the job market after a break.
Features
- AI-powered search engine trained on a dataset of over 50 million UK jobs.
- Natural language processing to understand the meaning behind user queries.
- Ability to input broad search terms without specific keywords.
- Surfaces relevant job opportunities based on skills, desired work environment, and company values.
- Wider search net to include potentially interesting and surprising roles.