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· Public charity
To accelerate and resource the fight against sex trafficking and exploitation.
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2020–2025.
Beneath the NTEE codes, this is what the grant descriptions actually say.
…and in their own words, year by year
Words distinctive to each year’s grant purposes (TF-IDF) · event-driven terms in cyan.
Your grants by size, and where they go.
By grant size · FY2025
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY22–25, $2.5M) land where the poverty rate runs at 12% — the area typically sits at 10%. 49% of those dollars reach neighborhoods with above-average need. Your grants spread fairly evenly across need levels.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA, United Way ALICE — shown as context about the area, never attributed to your giving.
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
21 repeat relationships — 16 still active in FY2025, 5 since wound down; 14 grantees were first funded in FY2025 (too recent to call).
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2025, 80% of grant dollars renewed an existing relationship; $270k went to new ones.
Where new relationships form · theme of each grantee’s first grant
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). The earliest year is left-censored: relationships that predate the data read as “new.” Theme is the grantee’s IRS cause.
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.
Providing shelter for victims of human trafficking
To prevent and end sex slavery worldwide
To give shelter counsel education and work to women and men caught in human trafficking
Freed Life exists to eradicate human trafficking through empowering survivors, equipping communities and changing systems.
Prevention now leverages data and technology to stop human trafficking before it starts.
Prevention, intervention, and restoration of women that have been trapped into the sex trafficking industry
Fight human trafficking
Nightlight is an international organization compelled by love to reach out to, rescue, and restore all those who are negatively impacted by sex trafficking and commercial sexual exploitation.
Offer support for survivors of commercial sexual exploitation and sex-trafficking.
To provide supportive services to victims of human trafficking and sexual exploitation.
For reference, the grantee most central to the portfolio’s shape is Refuge for Women Inc and the most unlike its peers is Tides Center. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
Your grantees are a median of 14 years old; the field is 16. You back the younger end — and your money leans older still.
The field is 22% startups (under 5 years old) — 9% of your grantees by number, and just 5% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 11% of the field you don’t fund.
Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: The Jensen Project Inc · Human Investment Foundation · Natl Christian Charitable Fdn Inc · Dressember Foundation · Safe House Project Inc · Stewardship Foundation · Serving USA Inc · Servant Foundation · Morgan Stanley Global Impact Funding Trust Inc · American Endowment Foundation · Raymond James Charitable Endowment Fund · Gs Donor Advised Philanthropy Fund
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.
Every dot is one organisation RESCUE- FREEDOM INTERNATIONAL funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
Government income is each org’s traced federal awards (USASpending — grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check. An association, not a claim that your grant caused the public funding. Coverage is precision-first — a floor, not a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12–24 months.
Through Plinth
This dossier was generated cold from public filings. In Plinth it’s a working system — every applicant assessed and every grant monitored. Here’s a taste, run on one of your grantees: Rain Collective.
Agentic due diligence · confidence × risk
~1 months of operating runway; revenue held over 3 filed years.
3 years of Form 990 filings, still active.
US 501(c)(3); EIN 871158957 on file with current IRS Form 990 filings.
Board composition & governance documents — verified live in Plinth from the applicant.
OFAC / UN sanctions screening — run live in Plinth at assessment.
Staffing, M&E and activity alignment — assessed live in Plinth from submitted proposals.
Live · Plinth’s real DD engine
Run the actual assessment on Rain Collective, cold from public data.
Generated live from public IRS filings + open web sources by Plinth’s agentic engine. Shown as an illustration of the product, not a formal assessment.
Post-award monitoring · continuous checks
What you see here is static and public. In Plinth it’s operational — the full six-pillar framework on every applicant (with their own documents + live registry and sanctions checks), monitoring dashboards on every award, custom board reports, and eligibility routing for intake.
Preview generated from this grantee’s public IRS filings and independent reporting. Pillars marked “live in Plinth” require the applicant’s submitted documents. Shown as illustration, not a formal assessment.
Warm introductions · Powered by PlinthPro
Find your warmest path to Rescue- Freedom International through people who sit on both boards. Search for your organization and Plinth traces the introduction across shared trustees and officers.
Every link is a documented governance overlap in public IRS 990 filings — not a personal network — and each hop carries its own confidence tier. Low-confidence or distant paths are held back rather than guessed.