EIF Catalyst Request for Startups Series: LLM-Enhanced Career Navigation

Over 80% of middle-skill jobs now require digital competencies that aren't reflected in standard job titles or traditional degrees—and job seekers have no systematic way to translate what they actually know into language employers recognize.

The labor market paradox is stark. Millions of positions sit unfilled while millions of workers struggle to find jobs matching their skills and aspirations. Traditional job boards rely on keyword matching and occupational taxonomies built decades ago. Career services offices at colleges and workforce centers are understaffed and reactive. Workers without four-year degrees—who make up the majority of the American workforce—struggle to articulate capabilities earned through jobs, military service, caregiving, or non-traditional training in ways that register with employers.

LLMs change what's possible. For the first time, we can dynamically interpret skills from unstructured work histories, map capabilities across occupational boundaries, and provide personalized guidance at scale without requiring an army of human advisors. The technology is finally capable of meeting the complexity of real career paths.

We're looking for startups building candidate-facing AI tools that transform career navigation. Dynamic skills profiling that identifies transferable capabilities beyond what's listed on a resume—including skills people don't know they have. Intelligent job matching connecting candidates to opportunities based on demonstrated skills and potential, not just credentials and job title history. Personalized upskilling recommendations showing the shortest, highest-ROI path to target roles. AI career coaches providing ongoing guidance through career transitions, not just point-in-time job search help. Early-warning systems identifying workers at risk of displacement from automation or industry shifts, with proactive reskilling recommendations. Skills articulation tools helping candidates translate informal experience—caregiving, gig work, military service—into employer-recognized language.

If you're building employer-side infrastructure—assessments, ATS integrations, internal mobility platforms—see our companion RFS on Skills-Based Hiring Infrastructure.

We've been following the intersection of AI and career services closely through portfolio companies like YouScience (aptitude-based career guidance) and Mainstay (AI-powered student engagement). We understand skills taxonomy standards, labor market data sources, and the limitations of current approaches. We can help founders think through what's genuinely novel versus what's a thin wrapper on existing tools.

Applications for EIF Catalyst's next cohort are open. If you've got early traction and are ready to build a repeatable go-to-market motion, we should talk.

We're looking for U.S.-based founders focused on postsecondary and career outcomes, with in-market traction (often $100K–$1M ARR, with flexibility for sectors with longer sales cycles), and a founder-led sales motion ready to scale.

Working on something outside these RFS themes? Apply anyway—these prompts are meant to spark ideas, not limit them. Know a founder who should apply? Send them the link.