Our API performs four key functions
- SCORE the likelihood of any specific transition
- RANK potential new occupations
- LIST skills associated with the recommendation
- CONTEXTUALIZE all the above with relevant macroeconomic or demographic information
Our matching approach starts with a thesis that underlying skills associated with occupations are predictive of someone’s “mobility” to other occupations.
AdeptID’s Recommendation Engine ingests data from diverse public and private sources to create representation spaces of talent, training and demand focused on the workforce without four-year college degrees.
Using these representation spaces, our models identify latent variables associated with employment success, as well as skills gaps that can be addressed with training.
See information on our modeling approach and core technology here.
We have converted the insights from our models into API endpoints. These serve as “lego blocks” our users use to personalize a range of workforce applications.
See use cases here
Updated about 2 months ago