The Bright Score.
We build technology that moves the entire labor market, faster.
The numbers behind the Bright Score technology speak for themselves:
- 15 engineers and data scientists, including three Ph.D.'s and four MIT graduates
- 18 months of research and development
- 60 recruiters that graded resumes over the past year
- 40,800 man-hours of development
- 2.1 million job descriptions analyzed
- 2.8 million resumes that were used to validate the Bright Score
- 8.6 million jobseekers who participated in our study
We used an unprecedented blend of machine learning, data science, and the largest resume study in history to create the Bright Score, the recruiting equivalent of the world's first rocket: fast, sleek, and a shock to an industry that's been mired in antiquated technology.
The Bright Score is able to look at hundreds of features on a resume in an instant, allowing us to analyze and score a holistic view of a candidate in the time it would take a human evaluator to absorb at most a couple of words. So we can immediately identify the candidates who are fit to move forward at a comprehensive level that could only be matched if a recruiter spent an hour on every single resume.
We've calculated over a billion Bright Scores with a comparative accuracy of 93% when tested against human evaluators. This is only the beginning.
Components of the Bright Score
The Bright Score takes into account hundreds of variables, of which a few are:
- Data Analysis
- Cosine Similarities
- Frequency Analysis
- Synonym Matching
- Pattern Matching
- Cluster Analysis
- Candidate Information
- Job Experience & Timeline
- Length of Employment
- Previous Employers' Prestige
- Educational History
- Majors and Certifications
- School Ranking
- Connections in Common
- Resume Structure
- Resume Length
- Grammar & Spelling
- Objective Statement
- Resume Sections & Structure