Applied vs PayAnalytics

Applied is a recruiting platform that describes its purpose as reducing bias in hiring. It combines pre-built skills assessments with data across the recruitment process. AI can help teams create skills-based assessments, interviews, questions, and scoring rubrics; the platform can also flag text that may have been generated by AI. Its Job Description Analysis Tool can assess and update job descriptions and create consistent descriptions. The AI policy also describes CV parsing and support with scoring responses. Applied says hiring managers review AI-supported outcomes and make final decisions, and its policy bars decisions made solely through automated AI without meaningful human oversight. The site says it integrates with many products but does not name them there. Some features have free trials, while others are demonstrated through an interactive tour with the team. Pricing is available on request. Applied says it has been acquired by Phenom and invites prospective customers to book a demo or contact the team. Its homepage states compliance with UK data security requirements, including GDPR and the EU AI Act, and cites Cyber Essentials Plus certification.

PayAnalytics is a web and API platform for analyzing pay equity and workforce composition. It models compensation structures to identify factors influencing pay and measure gaps, then recommends pay raises according to priorities and budget while estimating the cost of closing gaps. Job Evaluation applies standard, objective criteria to compare the relative value of roles. Reporting includes templates for country, local, and state requirements plus customizable leadership reports. Users can upload Excel or CSV files or connect through an API, export to Word, Excel, PowerPoint, and PowerBI, and connect with tools such as Tableau through an API. Attrition and diversity analytics are included. The platform supports seven languages and multiple currencies with user-defined exchange rates. PayAnalytics is a paid subscription priced on request, with a minimum one-year term and unlimited users. An equal-pay analysis needs specified employee fields, and around 50 people are needed to use all capabilities.