Technical White Paper · July 2026
An Architecture for Grant Discovery and Grounded Application Drafting
Uthman Olomide · Grantivo
Abstract
Grant seekers face a discovery problem: tens of thousands of private foundations give billions of dollars each year, little of it through open calls, yet the usual tools only index the calls. Grantivo is built on a different premise: the most informative signal about a funder is its record of past giving, disclosed in annual public filings.
The paper describes how those filings become a queryable model of funder behavior, more than 140,000 foundations and over 7.5 million grants, and how that model powers discovery, funder research, evidence-backed drafting, and draft audit. It also examines the property we find most interesting: because the writing happens inside the system, it observes the applicant-side text and outcomes that the filings omit, supervision no public dataset contains, together with the data governance that using customer applications responsibly requires.
What’s Inside
The funder model
Every U.S. private foundation files an annual return itemizing the grants it made. Grantivo structures these primary-source filings into a queryable model of funder behavior: more than 140,000 foundations, roughly 1.8 million officers and trustees, and over 7.5 million grants.
Discovery and funder research
Organizations narrow the funder universe by demonstrated behavior: geography, sector, grant size, staffing, and whether a funder accepts unsolicited requests. Each candidate resolves to a research profile built from its filings: giving history, the people who run it, and its application guidance.
Grounded drafting and draft audit
A drafting assistant conditions generation on the target funder's verified facts and the organization's own materials, then audits the draft on two separate axes, writing quality and fit to the funder, with every suggestion anchored to a span of the draft and the evidence behind it.
The missing side of the data
Filings describe funders, never applicants. Because the writing happens inside the system, it observes the applicant-side text and, over time, the outcomes that no public dataset contains. That supervision makes matching and drafting sharper the more the system is used.
Cite This Paper
Olomide, U. (2026) An architecture for grant discovery and grounded application drafting. Technical White Paper. Grantivo. Available at: https://grantivo.com/papers/grantivo-architecture-2026-07.pdf
Questions about the paper or the platform? Get in touch or explore the funder database.