7 years ago
Applied Raises $2M to Promote Fairer Hiring Practices with Algorithm-Driven Platform
Applied, a London-based startup, has raised £1.5M (~$2M) in seed funding to develop its recruitment platform
The platform utilizes algorithms and behavioural science to create a fairer hiring process by deconstructing the traditional CV-based approach and focusing on skills and abilities rather than demographic background
The platform has been used by over 55 employers to recruit for more than 2,000 jobs
Applied's investors include Blackbird Ventures, Skip Capital, Angel Academe, Giant Leap, Impact Generation Partners, and unnamed angels
The article highlights Applied's commitment to fairness and its avoidance of AI-based matching, which can perpetuate existing biases.
ProblemTechnology
"Traditional hiring processes often perpetuate bias, leading to companies overlooking qualified candidates from underrepresented groups. This creates a less diverse and less innovative workforce."
Solution
"Applied uses behavioural science to deconstruct traditional hiring processes. It replaces CVs with skills-based assessments, anonymizes applications to remove bias, and provides feedback to candidates. This helps companies find the best talent, regardless of their background, and create a more diverse and inclusive workplace."