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Systems and methods for providing cross-sectional scaling

Grant US12579518B2 Kind: B2 Mar 17, 2026

Assignee

Revelio Labs, Inc.

Inventors

Ben Zweig, Daniel Max Firester, Bruce David Langford, Praxal S. Patel, Jason A. Bossert, Arnav Saxena

Abstract

Cross-sectional scaling of electronically available occupational profile data to represent a workforce of individuals at one or more companies is described. Raw online occupational profile data does not accurately represent a company's workforce. Individuals in certain roles have a higher or lower likelihood of being represented electronically, and individuals in certain regions also have higher or lower likelihoods of being represented. Thus, simply aggregating available online data does not produce an accurate representation of a company's workforce. To overcome this and/or other problems, cross-sectional scaling techniques are used to output an accurate representation of the workforce at one or more companies (e.g., for one or more occupations at a given company) based on the likelihoods that individuals have electronically available occupational profile data (which are determined based on determined occupational groups and regions where the one or more companies operate).

CPC Classifications

G06Q 10/1053 G06F 16/335

Filing Date

2024-09-03

Application No.

18823366

Claims

30