November 26, 2025

Streamlining Researcher Profiles

CV uploads for faster, more reliable eligibility decisions

Building accurate, complete researcher profiles is essential for effective grant discovery. Yet administrators often spend hours tracking down CVs, parsing them manually, and trying to keep information aligned across systems. Our latest feature release is designed to remove that friction.

A faster path to complete researcher profiles

Until now, our platform automatically generated profiles using high quality public data. That automation already reduced the administrative lift of gathering publications, affiliations, research interests, and funding history.

You can now go a step further. Users can upload documents directly into their profile chat assistant, such as CVs, resumes, biosketches, or other relevant files. The assistant can read the document, extract key details, and add them to the profile with your approval.

This gives administrators a way to:

• Capture information that is not publicly indexed, such as pending proposals or specific project roles
• Improve accuracy for early career researchers and new faculty who may not yet have a large online footprint
• Reduce back and forth with researchers by centralizing all profile inputs in one place
• Maintain cleaner data across teams supporting proposal development and internal reporting

How it works

Researchers or administrators upload a file directly in the profile assistant chat. The assistant analyzes the document and identifies data that can strengthen the user profile. That might include publication lists, funding history, keywords, departmental roles, expertise descriptions, or key accomplishments. Atom's AI will automatically format and add the relevant information.

Why this matters for research administration

Accurate profiles strengthen eligibility checks. When CV data flows directly into the system, the assistant can verify whether researchers meet requirements tied to career stage, effort commitments, disciplinary alignment, prior funding, or specific qualifications. This reduces the time administrators spend comparing documents, interpreting eligibility rules, and following up for missing details. Cleaner profile data means faster go/no-go decisions and fewer surprises close to deadlines.

What is coming next

The CV upload feature is an early step toward a broader goal: giving every researcher a flexible AI partner that can help maintain data, surface opportunities, and reduce administrative overhead. As we continue improving the profile assistant, we will add deeper extraction capabilities and more options for integrating structured data into institutional workflows.

If you want a walkthrough or would like this enabled for your institution, let us know or book a demo here