GRAIL: An Agentic AI Architecture for Interactive Grant Proposal Writing
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8538-8542.
https://doi.org/10.24963/ijcai.2026/998
Keywords
- AI: Agent-based and Multi-agent Systems
- AI: Natural Language Processing
- AI: Data Mining
- AI: Search
Abstract
Securing research funding remains fragmented and time-consuming: researchers must navigate separate databases across dozens of agencies while simultaneously drafting competitive proposals. We present GRAIL, a web-based platform that unifies grant discovery and proposal writing through conversational AI. Users describe their research interests in natural language to explore opportunities from a unified index of 11.8K U.S. federal and nonprofit grant opportunities; within the document editor, integrated AI assistance supports real-time proposal revision and refinement. The system runs in any modern browser without installation. Conference attendees are invited to interact with the live system at the demo booth, explore the grant discovery and writing assistance workflows, and provide feedback on the user experience.
@inproceedings{ijcai2026p998,
title = {GRAIL: An Agentic AI Architecture for Interactive Grant Proposal Writing},
author = {Tang, Zhisheng and Kejriwal, Mayank},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {8538--8542},
year = {2026},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2026/998},
url = {https://doi.org/10.24963/ijcai.2026/998},
}
TY - CPAPER TI - GRAIL: An Agentic AI Architecture for Interactive Grant Proposal Writing AU - Tang, Zhisheng AU - Kejriwal, Mayank T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 8538 EP - 8542 DO - 10.24963/ijcai.2026/998 UR - https://doi.org/10.24963/ijcai.2026/998 ER -Copied
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