Stanford-StartX has contributed to a seed round for Scoutible, which uses machine learning technology to improve the recruitment process.

Scoutible, a US-based human resources technology developer, raised $5m in seed funding yesterday from investors including the Stanford-StartX fund, backed by Stanford University.

The round was co-led by Learn Capital and angel investor Mark Cuban, while Great Oaks, New Enterprise Associates and Mindset Ventures also took part.

The round also featured one of mobile payment service Venmo’s co-founders, though the press release did not clarify whether it was Andrew Kortina or Iqram Magdon-Ismail.

Scoutible has developed a video game that candidates play for approximately 20 minutes, with an artificial intelligence platform extrapolating their core traits, from interpersonal skills to cognitive aptitude and grit.

Using that data, the platform predicts how well a candidate will fit in with a company culture and how they will perform. The technology eliminates bias such as gender and ethnicity, and can recommend other positions to the applicant should they not be a good fit for the job in question.

Angela Antony, chief executive and founder of Scoutible, said: “Our customers are experiencing transformational results.

“This funding will go towards scaling up our capacity to serve even more companies and enable them to build and grow teams unparalleled in performance, culture fit, and retention.”