For Nonprofits & Academia
Partner on the mission — and help fund the research behind fairer hiring.
Whether you serve jobseekers, fund workforce solutions, or research the labor market, NextChapter offers a candidate-first platform and a consented, structured dataset connecting self-reported work style, reference-verified behavior, and real placement outcomes.
A research asset worth funding
The rigor of an AI safety lab, applied to hiring.
Just as leading AI labs invest heavily in understanding their own models before deploying them, we believe understanding what actually predicts a successful job placement deserves the same rigor — not another resume-parsing dataset.
The kind of question Harvard and MIT are already asking.
Institutions studying how AI is reshaping the labor market — who gets seen, who gets filtered out, who gets hired — are exactly the audience this dataset is built for: consented, structured, and connected to verified outcomes, not just resumes.
A dataset that doesn't exist elsewhere.
Most hiring data stops at the resume or the interview. Ours connects a candidate's self-reported work style, what their references independently verified, and what actually happened next — a foundation for research on hiring equity, ATS bias, and what really predicts success.
- Serve your constituents at no cost to them. Bring your community an honest assessment of where they stand, a personalized action plan, and real employer matches — extending your programs without adding fees.
- A research asset, ethically sourced. Consent-based, structured data on work-style dimensions and outcomes — a foundation for studies on hiring equity, gaps, and mobility.
- Grants, pilots, and co-design. We collaborate on funding proposals, pilot programs, and joint research that advance shared goals for fairer hiring.
Why partner with us: most platforms treat candidates as inventory. We're candidate-first and consent-first — which makes us a credible partner for mission-driven work and rigorous research alike.