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· Private foundation
This foundation does not accept unsolicited requests — it funds preselected organizations.
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 75% of Salehi Family Foundation’s grantee dollars go to organizations outside the IRS cause taxonomy (common for large international and research funders), so a chart would be mostly “unclassified” and misrepresent the portfolio.
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 · FY2024
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY18–24, $575k) land where the poverty rate runs at 13% — the area typically sits at 11%. 97% of those dollars reach neighborhoods with above-average need. Most of your grants land in higher-need ZIPs.
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.
The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.
About 52% of Salehi Family Foundation’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another. Read by recipient address, 75% of the giving stays in TX; read by stated purpose it is 89% — more of the work is directed home than the recipients' locations suggest.
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the foundation’s own 990 grant descriptions.
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +33% since the first grant, against +19% for the ones you funded once.
34 repeat relationships — 15 still active in FY2024, 19 since wound down; 14 grantees were first funded in FY2024 (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 FY2024, 79% of grant dollars renewed an existing relationship; $291k 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.
Tarrant area food bank empowers communities to alleviate hunger and improve health.
To procure and distribute nutritional food to qualified agencies that feed the hungry of West Central Texas.
To provide quality retirement living, hospice services and child care services for citizens of Hereford, Texas and the surrounding area.
TexProtects advances public policy and local implementation to strenghten families to prevent child abuse and neglect.
Wyoming Rescue Mission restores homeless lives to community independence with the love of Christ.
Safer path builds awareness of family violence and sexual assault, empowers victims, supports survivors' healing and creates a safe and abuse free community. founded in 1992 as atascosa family crisis center,the organization changed its…
Empowering youth in foster care and families in crisis to heal from trauma and build resiliency.
The Butte Rescue Mission is transforming lives in Jesus's name, offering assistance to those facing homelessness by providing food, shelter and clothing to restore individuals and reunite families, empowering them to reintegrate into…
Promote independence and self-reliance for the visually impaired through job opportunities.
To provide high quality, individualized care and community inclusion for the people we serve so they can have full and happy lives.
To alleviate hunger in the imediate service area through the distribution of food products donated by the usda, feeding america, area grocery stores, etc. which are distributed to the needy by way of area food banks and other qualified…
Providing mental healthcare to restore hope and healing
For reference, the grantee most central to the portfolio’s shape is Midland Fair Havens and the most unlike its peers is Mountainfilm. 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 33 years old; the field is 14. You back the established end — and your money leans older still.
The field is 27% startups (under 5 years old) — 0% of your grantees by number, and just 0% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 9% 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: Scharbauer Foundation Inc · Abell-Hanger Foundation · Permian Basin Area Foundation · Paul and Katherine Morrow Family · Beal Foundation · Pevehouse Family Foundation · The Henry Foundation · Warren Charitable Foundation · Walter & Jere Hubbard Family Foundation · Chaparral Foundation · Yarborough Foundation · The Fasken Foundation
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 Salehi Family Foundation 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: Kimble County Meals on Wheels.
Agentic due diligence · confidence × risk
~14 months of operating runway; revenue grew over 6 filed years.
6 years of Form 990 filings, still active.
US 501(c)(3); EIN 741826093 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 Kimble County Meals on Wheels, 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 Salehi Family Foundation 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.