Graduate job matching solution Headstart App is currently being trialled by blue-chip organisations.

The app, created by Nicholas Shekerdemian, an undergraduate at Oxford University, integrates with existing corporate recruitment systems and aims to ensure accurate, non-discriminatory job matching.

The app’s applicant matching system creates a detailed ‘fingerprint’ for every applicant using neural networks and deep learning. This ‘fingerprint’ considers personality, interests, skills and demographic background, as well as traditional criteria such as qualifications and experience. This enables students to apply for multiple jobs as themselves – via just one, highly personalised application – rather than applying as an artificial representation of what they think a company is looking for multiple times over.

Headstart App’s machine learning algorithms work to match applicants with the best ‘fit’ internships and entry-level jobs, pulling data from multiple online sources and asking students applicable questions using an AI (artificial intelligence) powered ‘chat-bot’.

The system also aims to educate and guide recruiters to help remove subconscious human bias, ranking candidates that best match any number of very specific requirements. Real-time analytics mean companies can tailor and amend requirements as the cycle progresses to continually ensure a best match.

Shekerdemian, who co-founded Headstart App with tech entrepreneur Jeremy Hindle, has attracted Angel funding from investors including Tim Jones, former chief executive of global investors Coller Capital, and Thomas Bucaille, senior vice president HR at fashion house Ralph Lauren, and has come to the attention of a number of blue-chip, beta-test clients including telco giant Vodafone.