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Technology Coalition Inc at a glance

· Public charity

Technology Coalition Inc

The coalition's vision is to eradicate online child sexual exploitation.

$185k
Granted FY2024still arriving
6
Grants FY2024still arriving
2
States reached
$52k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2024.

International$3.0MCrime & Legal$834kCommunity Improvement$52kPublic Safety & Disaster$30kScience & Tech$28kEducation$15k
02FY2024 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 6 grants below total $150,757, the rows itemized in this filing. The $184,757 headline is the total grant expense on the return; the other $34,000 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2024

  • Under $10k1 grant · $6k
  • $10k–50k4 grants · $93k
  • $50k–250k1 grant · $52k
$27,857
Median grant
2
States reached
$6.4M
Total assets
Largest grants
RecipientAmount
ROBIN BAY CONSULTING LLC$51,625
DALLAS CHILDREN'S ADVOCACY CENTER$30,000
TURING ENTERPRISES INC$27,857
TRUST & SAFETY PROFESSIONAL ASSOCIATION$20,000
UNIVERSITY OF MASSACHUSETTS$15,080
WOOD SMITH HENNING AND BERMAN LLP$6,195
02The need
03

Does the money reach high-need areas?

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

show:

Its human-services grants (FY21–24, $828k) land where the poverty rate runs at 14%, against an area that typically sits at 11%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%THORN: $634k → 14%DALLAS CHILDREN'S ADVOCACY CENTER: $30k → 14%THORN: $83k → 14%DALLAS CHILDREN'S ADVOCACY CENTER: $26k → 14%THORN: $56k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
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.

Grants abroad, by region: $34k on the FY2024 return

Schedule F, as filed: 2 regions. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

East Asia and the Pacific$20k · 59% · 1 grant

Stated purpose: CONSULTING - BUILDS VIRTUAL PLATFORMS.

Europe (including Iceland and Greenland)$14k · 41% · 1 grant

Stated purpose: HELPS TO MAKE THE INTERNET SAFER FOR CHILDREN.

How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving. Grants abroad on Schedule F are filed by region, purpose and amount with no recipient name, so they are shown by region and cannot be placed on the country map or matched to a grantee.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

97%of every dollar goes to organizations it has funded before.
$3.9M · 4 repeat orgs$101k to everyone else

4 repeat relationships: 2 still active in FY2024, 2 since wound down; 4 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

4
4

Total granted

$3.9M
$101k

Still filing today

100%
0%

New vs renewed · share of each year

In FY2024, 33% of grant dollars renewed an existing relationship; $101k went to new ones.

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

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

’20’21’22’23’24
Human ServicesInternationalOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • UNITED STATES FUND FOR UNICEF
    3× · 2020–2022 · $3.0M · revenue +46%
  • T
    THORN
    3× · 2021–2023 · $772k · revenue -14%
  • DC
    DALLAS CHILDREN'S ADVOCACY CENTER
    2× · 2023–2024 · $56k · revenue 0%

Funded once

  • RB
    ROBIN BAY CONSULTING LLC
    one grant, 2024 · $52k
  • TE
    TURING ENTERPRISES INC
    one grant, 2024 · $28k
  • UO
    UNIVERSITY OF MASSACHUSETTS
    one grant, 2024 · $15k
How this is measured

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

04Its field
04the grantee network

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

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 4 of the 8 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
4/4
Grantees still filing
2/4
Grew since first funded

Where the money sits, by cause and then by grantee

UNITED STATES FUND FOR UNICEF: $3,000,000 · InternationalUNITED STATES FUND FOR UNICEFTHORN: $772,000 · Human ServicesTHORNDALLAS CHILDREN'S ADVOCACY CENTER: $56,000 · Human ServicesDALLAS CHILDREN'S ADVOC…ROBIN BAY CONSULTING LLC: $51,625 · OtherTRUST & SAFETY PROFESSIONAL ASSOCIATION: $30,000 · OtherTURING ENTERPRISES INC: $27,857 · OtherUNIVERSITY OF MASSACHUSETTS: $15,080 · OtherWOOD SMITH HENNING AND BERMAN LLP: $6,195 · Other
International$3,000,000Human Services$828,000Other$130,757

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetUNITED STATES FUND FOR UNICEF: $3,000,000 over 3y, 0.2% of budgetTHORN: $772,000 over 3y, 4.0% of budgetDALLAS CHILDREN'S ADVOCACY CENTER: $56,000 over 2y, 0.2% of budgetTRUST & SAFETY PROFESSIONAL ASSOCIATION: $30,000 over 2y, 0.7% of budget
Grantee by grantee: a decade per organization, before and after funding

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

  • Who funds UNITED STATES FUND FOR UNICEF ↗
  • Who funds THORN ↗
  • Who funds DALLAS CHILDREN'S ADVOCACY CENTER ↗
  • Who funds TRUST & SAFETY PROFESSIONAL ASSOCIATION ↗

How much its grantees rely on government

Each dot is one organization Technology Coalition Inc funds: left to right is the share of its income from government, bottom to top the share from Technology Coalition Inc. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 8 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its 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.

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

    Source object · view filing

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    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home