pymetrics is using cutting edge neuroscience + data science to democratize career search and hiring
Neuroscience Games
pymetrics uses assessment tools developed by the global neuroscience community based on decades worth of research. They are widely considered the gold-standard of neuroscience research, and measure established building blocks of cognitive and emotional functioning, akin to the DNA of cognition + personality. We capture these traits by measuring behavior on an objective scale, rather than asking people to answer questions. Think about it this way: if a doctor wanted to know how much a patient weighed, would it be more effective to ask them their weight or put them on scale? pymetrics is the measurement scale for cognitive and emotional traits. Measuring traits through behavior allows us to profile people much more accurately and in high-dimensional space.
Machine Learning & Artificial Intelligence
pymetrics is the Netflix-like recommendation algorithm for jobs. We build a custom, cross-validated profiles for each role and company based on top performers. No two roles or companies have the same algorithm, meaning pymetrics can match candidates who aren't a good fit for one role to a different one where they are a fit. Algorithms are also dynamic, and updated routinely as new performance data comes online.
Bias-free Algorithms
We know that a diverse workforce is critical for a company’s success. However, not all algorithms are created equal and they are not inherently objective or fair. If an algorithm is trained on a biased training set, it will simply codify human biases, and often worsen the bias that exists. pymetrics has developed an algorithmic auditing technique to identify and remove bias. We use a reference set of tens of thousands of people to check for any potential biases, and we deweight inputs in our model until we produce a bias-free algorithm that is compliant with the 4/5ths rule. We believe that any algorithm over-indexing on a certain demographic population is picking up on noise, not signal.