Uptomic is a personal career intelligence platform that provides individuals with employer-grade data on job roles, including salary benchmarks, skills demand, and AI exposure assessments. The platform tracks 290+ data points per job with an example AI/human work split ratio to help users understand how automation is reshaping their profession. It also generates résumé and interview materials scored against specific job requirements to help workers prepare for the evolving job market.
Funding
Funding not disclosed
Founders
Product
Problem
Workers are making major career decisions with outdated or incomplete information while AI rapidly transforms job roles, wages, and skill requirements. Employers have historically held better data on jobs and compensation than individuals, leaving workers under-informed and underpaid. Most career tools look backward at past trends rather than forward at how AI and market shifts will reshape specific roles.
Solution
Uptomic provides a personal career intelligence platform that continuously analyzes an individual's skills, AI exposure, earning potential, and market options, then delivers actionable recommendations on what to do next. The platform tracks 290+ data points for each job role, covering salary, demand, skills, company trends, and an estimated AI/human work split. Users receive AI exposure scores and leverage ratings that show which tasks are most vulnerable to automation and which human skills remain valuable. The platform also builds career assets—résumés, interview prep, and networking guidance—from a user's profile, scoring them against real job requirements to achieve high match rates.
Target Audience
Primary users are white-collar professionals concerned about AI's impact on their careers, particularly entry-level and mid-career workers seeking data-driven guidance on job transitions, skill development, and salary negotiation.
Features
- 290+ live data points per job covering salary, demand, skills, company, and trend information
- AI exposure and human value scoring that breaks down the task-level impact of automation on any role
- Job requirement matching engine that scores user profiles against specific positions, demonstrated by an 85% match rate example
- Task playbooks with supporting evidence that guide users on which skills to strengthen to stay ahead of AI displacement
- Continuous data refresh model that updates intelligence as the market moves, distinguishing it from static job boards
- User-owned intelligence architecture that prioritizes the individual rather than advertisers or employers