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· Private foundation

Terasaki Inst for Biomedical Innovation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$15k
Granted FY2024still arriving
3
Grants FY2024still arriving
3
States reached
$9k
Largest
01What you fund
0178% classified

What you funded, over time

Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY20172024.

Arts & Culture$6.8MCommunity Improvement$3.6MEducation$362kInternational$125kPhilanthropy$10kHealth$10kOther$3.0M
02FY2024 · 3 grants

Where the money goes

Your grants by size, and where they go.

$4,413
Median grant
3
States reached
$66M
Total assets
Largest grants
RecipientAmount
BRIGHAM AND WOMEN'S HOSPITAL$8,585
DUKE UNIVERSITY$4,413
UNIVERSITY OF TEXAS AT SAN ANTONIO$1,738
02The need
03

Do your dollars go where the need is?

Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.

show:

Dollar for dollar, your grants (FY17–24) land where the poverty rate runs at 14%, against an area that typically sits at 11%. 99% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 11%BRIGHAM WOMEN'S HOSPITAL: $412k → 16%PITTSBURGH FOUNDATION: $10k → 11%LUPUS FOUNDATION OF NO CALIFORNIA: $10k → 8%POSTON COMMUNITY ALLIANCE: $15k → 9%LITTLE TOKYO SERVICE CENTER: $3.5M → 14%UNIVERSITY OF TEXAS AT SAN ANTONIO: $190k → 16%US-JAPAN COUNCIL: $50k → 14%MAYO CLINIC: $100k → 14%DUKE UNIVERSITY: $5k → 11%NATIONAL INVESTORS HALL OF FAME: $25k → 13%DENSHO: $100k → 9%BRIGHAM WOMEN'S HOSPITAL: $174k → 16%LITTLE TOKYO SERVICE CENTER: $75k → 14%UNIVERSITY OF TEXAS AT SAN ANTONIO: $165k → 16%US-JAPAN COUNCIL: $50k → 14%DUKE UNIVERSITY: $127k → 11%BRIGHAM WOMEN'S HOSPITAL: $145k → 16%TERASAKI NIBEI FOUNDATION: $6.0M → 14%UNIVERSITY OF TEXAS AT SAN ANTONIO: $81k → 16%US-JAPAN COUNCIL: $25k → 14%DUKE UNIVERSITY: $4k → 11%BRIGHAM AND WOMEN'S HOSPITAL: $59k → 16%TERASAKI NIBEI FOUNDATION: $188k → 14%BRIGHAM AND WOMEN'S HOSPITAL: $9k → 16%TERASAKI NIBEI FOUNDATION: $180k → 14%TERASAKI NIBEI FOUNDATION: $96k → 14%TERASAKI NIBEI FOUNDATION: $16k → 14%JAPANESE AMERICAN CULTURAL COMMUNIT: $574k → 14%JAPANESE AMERICAN NATL MUSEUM: $50k → 14%JAPANESE AMERICAN NATL MUSEUM: $50k → 14%JAPANESE AMERICAN NATL MUSEUM: $50k → 14%GO FOR BROKE NATL EDUCATION CTR: $10k → 14%GO FOR BROKE NATL EDUCATION CTR: $10k → 14%GO FOR BROKE NATL EDUCATION CTR: $10k → 14%REGENTS OF UNIVERSITY OF CA LOS ANG: $400k → 14%REGENTS OF UNIVERSITY OF CA LOS ANG: $214k → 14%REGENTS OF UNIVERSITY OF CA LOS ANG: $214k → 14%REGENTS OF UNIVERSITY OF CA LOS ANG: $107k → 14%REGENTS OF UNIVERSITY OF CA LOS ANG: $107k → 14%REGENTS OF UNIVERSITY OF CA LOS ANG: $47k → 14%REGENTS OF UNIVERSITY OF CA LOS ANG: $13k → 14%ASIAN PACIFIC ALUMNI OF UCLA: $10k → 14%UCLA FOUNDATION: $100k → 14%UCLA FOUNDATION: $66k → 14%LOS ANGELES JEWISH SYMPHONY: $10k → 14%UCLA FOUNDATION: $50k → 14%CEDARS SINAI: $10k → 14%CEDARS SINAI HEART INSTITUTE: $10k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

Which US states your grants reach

WA
MA
OH
PA
CA
NC
DC
TX
FL

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 — shown as context about the area, never attributed to your giving.

03Your edge
repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

94%of every dollar goes to organizations you’ve funded before.
$13M · 11 repeat orgs$855k to everyone else

And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +88% since the first grant, against +51% for the ones you funded once.

11 repeat relationships — 3 still active in FY2024, 8 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

11
10

Total granted

$13M
$855k

Median revenue growth · since first grant

+88%
+51%

Still filing today

55%
60%

New vs renewed · share of each year

In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21’22’23’24
Arts & CultureEducationInternationalCommunity ImprovementHealthOther

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.

Backed again, and grew

  • TN
    TERASAKI NIBEI FOUNDATION FKA NIBEI FOUNDATION
    4× · 2017–2020 · $6.5M · revenue +59% · 100% of their budget
  • 1L
    1979 LEGACY CORP
    2× · 2019–2020 · $3.6M · revenue +88%
  • JAPANESE AMERICAN NATIONAL MUSEUM
    3× · 2017–2019 · $150k · revenue +86%

Funded once

  • JA
    JAPANESE AMERICAN CULTURAL COMMUNIT
    one grant, 2019 · $574k
  • MC
    MAYO CLINIC
    one grant, 2017 · $100k
  • D
    DENSHO
    one grant, 2019 · $100k · revenue -2%

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field

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.

1
Us-Japan Research Institute Suite 801
2
United States - Japan Foundation
3
Soka University of America

The mission of soka university of america is to foster a steady stream of global citizens committed to living a contributive life. continued on schedule o.

Education
4
Japantown Cultural Society
Education
5
Terasaki Inst for Biomedical Innovation
6
Japan Society Inc

Japan society is the premier organization connecting japanese arts, culture, business, and society with audiences in new york and around the world. in fy2024, attendance onsite was 36.9k with 3.3k participating in online programs.

Arts & Culture
7
National Japanese American Historical Society Inc

The National Japanese American Historical Society, Inc. (NJAHS) charitable nonprofit organization dedicated to the collection, preservation, authentic interpretation, and sharing of historical information of the Japanese American…

8
Alliance for Perserving the Truth of Sino-Japan War

Public education

Arts & Culture
9
Java Historical Society
Arts & Culture
10
The Hideo Sasaki Foundation
Philanthropy
11
United States-Japan Bridging Foundation Inc

The united states-japan bridging foundation provides u.s. undergraduates who demonstrate financial need and academic merit with scholarships to study abroad in japan, along with mentorship and networking opportunities.

International
12
Asian Art Museum Foundation of San Francisco

The asian art museum celebrates, preserves, and promotes asian and asian american art and cultures for local and global audiences. we provide a dynamic forum for exchanging ideas, inviting collaboration, and fueling imagination to deepen…

Arts & Culture

For reference, the grantee most central to the portfolio’s shape is Densho and the most unlike its peers is Terasaki Nibei Foundation Fka Nibei Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.

04the grantee network

14 grantees tracked through their own filings, 2017–2025.

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 14 of the 23 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

1
Load-bearing (≥25% of a budget)
4
Early backer (in before they grew)
14/14
Grantees still filing
11/14
Grew since you first funded

Where your money sits — by cause, then by grantee

TERASAKI NIBEI FOUNDATION FKA NIBEI FOUNDATION — $6,492,276 · Arts & CultureTERASAKI NIBEI FOUNDATION FKA NIBEI FOUNDATION+6 more — $330,000 · Arts & Culture1979 LEGACY CORP — $3,575,000 · Community Improvement1979 LEGACY CORPREGENTS OF UNIVERSITY OF CA LOS ANG — $1,102,837 · OtherREGENTS OF UNIVERSITY OF…BRIGHAM WOMEN'S HOSPITAL — $730,012 · OtherBRIGHAM WOMEN'S HOSPITALJAPANESE AMERICAN CULTURAL COMMUNIT — $573,971 · OtherJAPANESE AMERICAN CULTUR…UNIVERSITY OF TEXAS AT SAN ANTONIO — $436,969 · OtherUNIVERSITY OF TEXAS AT S…+5 more — $191,631 · Other+5 moreUCLA FOUNDATION — $215,663 · EducationDUKE UNIVERSITY — $136,094 · Education+1 more — $10,000 · EducationUS- JAPAN COUNCIL — $125,000 · InternationalTHE PITTSBURGH FOUNDATION — $10,000 · PhilanthropyCEDARS-SINAI MEDICAL CENTER — $10,000 · Health
Arts & Culture$6,822,276Community Improvement$3,575,000Other$3,035,420Education$361,757International$125,000Philanthropy$10,000Health$10,000

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetTERASAKI NIBEI FOUNDATION FKA NIBEI FOUNDATION — $6,492,276 over 4y, 100% of budget1979 LEGACY CORP — $3,575,000 over 2y, 17% of budgetUCLA FOUNDATION — $215,663 over 2y, 0.0% of budgetJAPANESE AMERICAN NATIONAL MUSEUM — $150,000 over 3y, 0.8% of budgetDUKE UNIVERSITY — $136,094 over 3y, 0.0% of budgetUS- JAPAN COUNCIL — $125,000 over 3y, 0.9% of budgetDENSHO — $100,000 over 1y, 5.1% of budgetGO FOR BROKE NATIONAL EDUCATIONAL CENTER — $30,000 over 3y, 0.9% of budgetNATIONAL INVENTORS HALL OF FAME INC — $25,000 over 1y, 0.1% of budgetTHE PITTSBURGH FOUNDATION — $10,000 over 1y, 0.0% of budgetCEDARS-SINAI MEDICAL CENTER — $10,000 over 1y, 0.0% of budgetLOS ANGELES JEWISH SYMPHONY — $10,000 over 1y, 1.6% of budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.

  • Who funds TERASAKI NIBEI FOUNDATION FKA NIBEI FOUNDATION
  • Who funds 1979 LEGACY CORP
  • Who funds UCLA FOUNDATION
  • Who funds JAPANESE AMERICAN NATIONAL MUSEUM
  • Who funds DUKE UNIVERSITY
  • Who funds US- JAPAN COUNCIL
  • Who funds DENSHO
  • Who funds GO FOR BROKE NATIONAL EDUCATIONAL CENTER
  • Who funds NATIONAL INVENTORS HALL OF FAME INC
  • Who funds POSTON COMMUNITY ALLIANCE INC
  • Who funds THE PITTSBURGH FOUNDATION
  • Who funds CEDARS-SINAI MEDICAL CENTER
  • Who funds LOS ANGELES JEWISH SYMPHONY
  • Who funds ASIAN PACIFIC ALUMNI OF UCLA

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.

The Keith and Cecilia Terasaki Family FoundationCA17.9× affinity6 shared granteesties to 6 of 6Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Keith and Cecilia Terasaki Family Foundation · Terasaki Nibei Foundation Fka Nibei Foundation · National Philanthropic Trust · American Online Giving Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile 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.

Government reliance of your grantees

Every dot is one organization Terasaki Inst for Biomedical Innovation 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.

2024
202122232425
no gov · 00%6%25%56%100%your share of their income ↑0%25%50%75%100%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    typical government reliance, FY2025

    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: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. 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.

    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Terasaki Inst for Biomedical Innovation?

    Find your warmest path to Terasaki Inst for Biomedical Innovation through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

    On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 23 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears. How we build these →

    Generated from your IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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