Last Updated: May 17, 2026. NextLaureate values your trust and is committed to protecting your academic data, research identity, and documents.
To deliver ranked fellowship matching and AI custom-tailored document generation, NextLaureate syncs and securely maintains specific profile parameters:
When utilizing the NL Advisor (AI document compiler) to match statements with targeted opportunities, academic inputs are passed via API to secure large language models (such as Google Gemini).
NextLaureate maintains strict enterprise agreements with LLM providers. Your private research drafts, customized letters, and CV details are **never** stored, cached, or utilized by third parties to train foundation models. Your intellectual property remains entirely yours.
To minimize external database calls and save your daily API quotas, NextLaureate securely caches match score vectors. This ensures that when you access your dashboard, your recommended postdoctoral and faculty lists populate instantly. Match matrices are encrypted at rest and updated only upon your explicit portfolio refresh.
Regardless of your academic institution's global location, NextLaureate provides complete data rights to all researchers: