Intelligent Science Group with Mass General Brigham Researchers Launch 15-minute AI Critique to Boost NIH Funding Odds

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Intelligent Science Group Inc.

May 28, 2025, 11:28 ET

Free first review arrives ahead of the June 5th R01 deadline, tackling a record-low 17% NIH success rate.

CAMBRIDGE, Mass., May 28, 2025 /PRNewswire/ -- Intelligent Science Group Inc. in collaboration with researchers from Mass General Brigham, today unveiled an AI-powered platform, Dr. GRAI - grantreview.ai, that delivers NIH-style critiques on any grant in under 15 minutes, giving U.S scientists a last-minute edge before the June 5 standard due date for new RO1 applications.

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Dr. GRAI Partial Review Output Example
Dr. GRAI Partial Review Output Example
Dr. GRAI Panel Review Example Output
Dr. GRAI Panel Review Example Output

With only 17 - 19 % of R01 proposals funded in FY 2024 and seasoned investigators spending 100-plus hours crafting each application - or paying $3,500+ for outside editors - Grantreview.ai promises a cheaper, faster path to a competitive 1-to-9 NIH Impact score.

"Labs can't afford another unfunded cycle. Our model is trained on thousands of funded and unfunded proposals, so in a coffee break, you'll know exactly which sections pull your score down - and how to fix them."
— Joshua Sandhu, CEO of ISG Inc.

Trained on 1000s of successful and unsuccessful grant proposals. The tool is now live with one free panel review with pay-as-you-go or subscription pricing, matching lean lab budgets.

"The AI flagged weaknesses our internal reviewers missed. We cut five days of edits and resubmitted with confidence."
— Dr. Leo Kim, Associate Professor at Harvard Medical School

Key features:

  • Instant categorization mirroring each NIH criterion.
  • Priority fix list ranked by projected score impact.
  • Collaboration links so co-PIs and research admins can view feedback in real time.

About ISG

Intelligent Science Group Inc. is a Cambridge based software company using generative AI to help scientists win more funding. Its proprietary algorithms replicate NIH peer-review logic, giving researchers actionable feedback in minutes instead of weeks.

Media Contact:
Joshua Sandhu
+447707455444
[email protected]

SOURCE Intelligent Science Group Inc.