AIGrantWriter

We are at a critical moment for climate change and 86% of environmental conservation is done by land trusts, small farmers, and grassroots environmental communities. Yet only 3.25% of federal grants are received by the frontline communities addressing climate change. However, this isn't an issue of not having enough funding - more than 8-10 billion dollars are left over across federal grants that go unclaimed which then become a warrant to reduce budgets across these agencies. Many of the communities we work with live in rural communities with little access to internet and small teams of less than 10 people doing all operations - most spend their time on the ground working on reforestation and wetland presentation Its an issue of having a mobile friendly interface that can match them with grants, project manage, and draft responses that reflect their stories by doing most of the brunt work of NLP, scraping the web of all their events they've already put on, and matching the language inferences from past awardees We are creating an AI agent that can followup with smaller nonprofits to increase bandwidth by: Identifying grants that they’d be great fits for through NLP Drafting potential proposals based on past grantees and pointing out the considerations they should add Creating any followup tasks as an internal project board that sends notification as an sms interface Dataset of Nonprofits: Should we be able to successfully generate one draft from the pilot user story, we should test the model on a larger dynamic sets of both grants and nonprofits. The reforestation can then lead to a carbon credit marketplace, each acre translates to 1-10 carbon credits. Our GTM includes a potential of 13,000,000 acres which can year between 13-130,000,000 acres of carbon credits while the industry demand is looking for 20,000,000 carbon credits across Meta, Google, Microsoft, and Amazon this next year alone.