Openjobs People Matchv1.0.1

A fast-growing tech startup needs to quickly screen 50+ applicants for a senior Python engineer role. Using bulk grading, they can rank candidates by match score to identify the top 10 most qualified individuals for interviews, saving hours of manual resume review.

A recruitment agency receives multiple job descriptions from client companies each week. They use single CV grading to evaluate individual candidates against specific roles, then use bulk grading to create ranked shortlists for clients based on precise job requirements.

A large corporation's HR team needs to evaluate internal candidates for promotion opportunities. They grade employee profiles against new role descriptions to objectively assess fit and identify development gaps, supporting data-driven promotion decisions.

A university career center helps graduating students prepare for job applications. They use the grading tool to show students how their resumes match against actual job descriptions, providing concrete feedback on where to improve their applications.

OpenJobs AI sells API access to their grading model through subscription tiers based on monthly API call volume. Enterprise clients pay higher rates for increased quotas and priority support, while smaller users access basic functionality through lower-tier plans.

Large organizations license the technology for internal use, paying annual fees based on employee count or usage volume. This includes custom integration support, dedicated infrastructure, and tailored training for HR teams using the grading system.

OpenJobs AI partners with existing ATS (Applicant Tracking System) and recruitment platforms, earning revenue through white-label integration fees and revenue sharing. Their technology becomes an embedded feature within larger HR software ecosystems.