Built for the writer at 9pm on a Tuesday.
Three things you should know about why PowerGrant exists, what we're building, and where it's going.
The problem we noticed.
Most grant writing isn't writing. It's looking up the same number you looked up last quarter, copying boilerplate from a Word doc, and adapting last year's narrative to a new funder's question set. It's a time tax — paid by people whose time should go to programs, not paperwork.
The first wave of AI grant tools made the tax worse, not better. They generate confident-sounding paragraphs that hallucinate funder names, invent metrics, and produce text the writer has to fact-check line by line. The "AI draft" becomes a draft of a draft, and the time saved gets spent verifying things the AI made up.
What we're building.
PowerGrant inverts the relationship between AI and your facts. Your knowledge base — past grants, financials, program descriptions, outcome data — is the source of truth. The AI writes from that base, and only that base. When the AI doesn't know something, it asks before it guesses.
That constraint is the product. It's why a PowerGrant draft reads like your organization wrote it: because your organization did. We handle the section-by-section assembly, the funder-specific framing, the boilerplate. You handle the strategic edits and the narrative decisions only a human can make.
Where we're going.
Drafting is the start. The same knowledge base that grounds a draft can surface the funders most likely to fund you, flag the program areas where your outcomes are strongest, and learn from every submission to make the next one tighter. Over time, PowerGrant becomes a partner that surfaces opportunities, not just a tool that fills in answers.
We're not in a hurry to ship every adjacent feature. We'd rather do the core well and let it earn the right to expand. Grant writers have been let down enough by hopeful product roadmaps.