Grant intelligence, not grant lists

Win more grants.

GrantGraph shows you who won a grant before, who to partner with, and where to find extra funding — so you apply with a plan.

Free to start · Built on public data

1Pick a grant
2See who won it
3Get partner matches
4Stack extra funding
5 sources, 1 graph

Grants.gov · USASpending · IRS 990/EO BMF · state portals · outcome feedback — joined.

1 question

Not "what grants exist" but "what does it take to win this one."

$0–$49

Free to explore. The graph nobody else has, at a Pro price under everyone.

Built for both sides of every grant

Two audiences, one graph

The same data that helps a nonprofit win a grant tells a vendor which of their customers can fund a purchase with it. We work both sides.

Grant-seekers

Nonprofits, cities, counties, agencies, and consultants. Find the grant, see who won it, who to partner with, and how to stack the money — then write a stronger application.

Find your grants →

Vendors & channel partners

Your customers buy your products with grant money. Show them which grants fund your category and how to win — so the funding that closes your sale actually lands.

See how it works for vendors →
How it works

One grant, the whole picture

The graph turns a single listing into a strategy: who already won it, what those winners had in common, who to team up with, and which funders stack on top.

01 · GRANT

The opportunity

Open and forecasted grants, normalized by cause and geography.

02 · WINNERS

Who got it

Past recipients near you, with award sizes — from federal award records.

03 · PATTERNS

What it takes to win

The shared traits of recent winners, surfaced as plain-language intelligence.

04 · PARTNERS

Who to team with

Active local orgs that fit the coalition this grant rewards.

05 · STACK

How to fund the rest

Funders that have backed similar work, to layer on top.

The feature no other grant tool has

Funding moves through relationships. So we map them.

Most tools help you find a grant. GrantGraph finds your warm path to the funder — who in your network was already funded by someone who funds this grant.

Canvas Health
your partner
Medica Foundation
funder in your network
This grant
your target

You have a warm introduction path. Ask for the intro instead of cold-applying.

SOURCE: 990 grantee records
What actually makes it different

The graph is the asset. Everything else is an application of it.

Search, alerts, and AI writing are table stakes — every competitor has them. We match those and lead with the layer no one else can build.

Why people buy

Tier 1
  • Coalition / partner matching
  • Funding stacking
  • Recipient graph + Winning Pattern Analysis
  • Warm-introduction engine

The differentiators. No competitor assembles these.

What closes the sale

Tier 2
  • AI trained on who wins
  • Partner-outreach workflow
  • Recurrence / forecasting

Strong features — powerful because of the graph, not because they're AI.

Expected, never headlined

Tier 3
  • Grant search & filters
  • Alerts & saved searches
  • Pipeline & calendar
  • AI writing itself

Table stakes. We match them on cost; we don't sell on them.

How we know — every feature traced to a real source

Built only on what the data supports

Nothing here promises more than public data can deliver. Where a signal is inferred or predicted, the interface says so — on every data point. That honesty is a feature, not a footnote.

FeaturePowered byWhat it can honestly showStatus
Grant directory & eligibility Grants.gov (NOFO), state portals Open/forecasted grants, eligibility, deadlines. solid
Local winner map USASpending Past federal recipients, award amounts, geography. solid
Winning Pattern — attributes USASpending + 990 (EIN) Org size, geography, program type, funding level. Observed, not causal. solid
Winning Pattern — coalition structure USASpending subawards Prime→sub only. Non-funded MOU partners aren't visible — shown as inferred. inferred
"Odds of winning" — not in public data — Application counts aren't public, so we show award counts/sizes — never a fake win-rate %. honest by omission
Coalition partner matching IRS EO BMF + 990 Active orgs by cause × ZIP, with shared-funder overlap as "why it fits." solid
Warm-introduction engine 990 grantee records Who in your network was funded by a funder of this grant — a warm path. solid
Funding stack suggestions 990 grantee overlap Funders that co-funded similar work. Suggested, not guaranteed. inferred
Recurrence forecast Historical posting/award cadence Likely reopen window with a confidence figure. forecast
Vendor outreach lists SAM.gov (PSC/NAICS) + FPDS Vendors who sell what a grant funds. Email needs enrichment; name+address is public. scoped
Coalition Success Probability subaward + outcome data Needs enough winning-coalition examples; ships once data supports it. roadmap