Frequently Asked
Questions

How does the matching work?

Unlike keyword-based tools, Reviewer.ly Grants uses advanced semantic search to understand the meaning and context of proposals. It looks beyond keywords to find reviewers with the right expertise, even when terminology differs, helping you surface better matches, faster. 

Our AI-powered recommendation engine analyzes each submission to identify potential reviewers or committee members whose published work closely aligns with the topic. Drawing on vast, diverse research datasets covering over 250 million works and 100 million authors, Reviewer.ly Grants can surface relevant reviewers across a wide range of disciplines, including niche and interdisciplinary areas.

By default, the system balances subject-matter expertise with diversity considerations like geography and institutional spread, helping avoid over-reliance on experts you already know.

Can we customize the settings?

Yes. You can fine-tune reviewer matching based on your organization’s priorities. Adjust filters to emphasize specific expertise areas, regions, or even time zones. We can also apply inclusion or exclusion criteria to meet your funding policies.

How does Reviewer.ly Grants integrate with our existing grant management system?

Reviewer.ly Grants is flexible. It can work alongside your current system, replace parts of your workflow, or be customized for direct integration. We’ll help you find the setup that fits.

Can Reviewer.ly Grants handle large competitions?

Yes. Reviewer.ly can automatically generate reviewer matches for thousands of proposals in seconds, with conflict checks built in.

What if we want to make changes to the recommendations?

Reviewer.ly Grants provides recommendations, but you stay in control. You can accept, reject, or refine the selections, or add reviewers manually, with conflict checks still running in the background.

How do conflict of interest checks work?

We automatically detect conflicts using co-authorship, institutional affiliation, and other relationships drawn from global research databases. If you add your own reviewers, the system will instantly flag any conflicts of interest.

Do we need a technical team to set this up?

Reviewer.ly Grants is web-based with no installation needed. It’s designed for program officers and research administrators. We provide onboarding, training, and clear documentation to help your team get started quickly.

For organizations with strict data security requirements, we also support on-premises installation. In this setup, everything stays within your environment and our team will work directly with your technical team to ensure a smooth and secure deployment.

Is there reporting or audit functionality for accountability?

Yes. Every match is backed by data, with reports available for internal review, auditors, or applicant transparency requirements.

How do I get started with Reviewer.ly Grants?

Just reach out! We offer live demos and can walk you through how Reviewer.ly Grants fits your workflow. Contact us to schedule a time that works for your team.

Where does Reviewer.ly Grants come from?

Reviewer.ly Grants is a Canadian-built platform developed in Toronto by a team of AI researchers. It was created with support from NSERC and through close collaboration with a Canadian funding agency to meet the specific needs of research funding competitions.

How is Reviewer.ly Grants priced?

Pricing is based on competition size and organizational needs. Contact us for a tailored quote.