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Wisys Technology Foundation Inc at a glance

· Public charity

Wisys Technology Foundation Inc

Supporting universities of wisconsin faculty, staff, students, and alumni to innovate for impact.

$511k
Granted FY2025still arriving
12
Grants FY2025still arriving
1
States reached
$135k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
0198% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Science & Tech$1.1MEducation$367kArts & Culture$62kCommunity Improvement$55kYouth Development$9kEnvironment$6kOther$0
02FY2025 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 12 grants below total $479,276, the rows itemized in this filing. The $511,350 headline is the total grant expense on the return; the other $32,074 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 · FY2025

  • $10k–50k9 grants · $216k
  • $50k–250k3 grants · $263k
$27,079
Median grant
1
States reached
$3.2M
Total assets
Largest grants
RecipientAmount
UNIVERSITY OF WISCONSIN-MADISON$134,728
UNIVERSITY OF WISCONSIN-EAU CLAIRE FOUNDATION$76,540
UNIVERSITY OF WISCONSIN-PLATTEVILLE$51,818
UNIVERSITY OF WISCONSIN-LA CROSSE$44,401
UNIVERSITY OF WISCONSIN-OSHKOSH$37,677
UNIVERSITY OF WISCONSIN-RIVER FALLS$27,079
UNIVERSITY OF WISCONSIN-PARKSIDE$24,308
UNIVERSITY OF WISCONSIN-WHITEWATER$23,687
UNIVERSITY OF WISCONSIN-STOUT$21,920
UNIVERSITY OF WISCONSIN-MILWAUKEE RESEARCH FOUNDATION$16,683
UNIVERSITY OF WISCONSIN-STEVENS POINT$10,340
UNIVERSITY OF WISCONSIN-GREEN BAY$10,095
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:

Dollar for dollar, its grants (FY17–25) land where the poverty rate runs at 11%, against an area that typically sits at 11%. 61% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%UNIVERSITY OF WISCONSIN-RIVER FALLS: $27k → 9%UNIVERSITY OF WISCONSIN-PARKSIDE: $24k → 10%UW-GREEN BAY: $118k → 10%UNIVERSITY OF WISCONSIN-STEVENS POINT: $10k → 10%UNIVERSITY OF WISCONSIN-WHITEWATER: $24k → 10%UNIVERSITY OF WISCONSIN-MADISON: $135k → 10%UNIVERSITY OF WISCONSIN-STOUT: $22k → 11%UNIVERSITY OF WISCONSIN-OSHKOSH: $38k → 11%UNIVERSITY OF WISCONSIN-EAU CLAIRE FOUNDATION: $77k → 12%UW-LA CROSSE: $46k → 12%UW-PLATTEVILLE: $116k → 13%UNIVERSITY OF WISCONSIN-MILWAUKEE RESEARCH FOUNDATION: $17k → 17%UW-RIVER FALLS: $18k → 9%UW-GREEN BAY DEPARTMENT OF NATURAL AND APPLIED SCIENCES: $49k → 10%UW-WHITEWATER: $11k → 10%UW-MADISON: $24k → 10%UW-STOUT: $13k → 11%UW-OSHKOSH: $23k → 11%UW-EAU CLAIRE: $75k → 12%UNIVERSITY OF WISCONSIN-LA CROSSE: $44k → 12%UW-PLATTEVILLE: $70k → 13%UW-MILWAUKEE: $17k → 17%UW-RIVER FALLS: $12k → 9%UW-GREEN BAY: $44k → 10%UW-WHITEWATER: $10k → 10%WI TECHNOLOGY COUNCIL: $20k → 10%UW-STOUT: $13k → 11%UW-OSHKOSH: $16k → 11%UW-EAU CLAIRE: $45k → 12%UW-LA CROSSE DEPARTMENT OF CHEMISTRY AND BIOCHEMISTRY: $35k → 12%UW-PLATTEVILLE: $68k → 13%UW-RIVER FALLS BIOLOGY DEPARTMENT: $9k → 9%UW-GREEN BAY: $40k → 10%UW-STOUT: $9k → 11%UW-OSHKOSH: $15k → 11%UW-LA CROSSE: $24k → 12%UW-PLATTEVILLE: $68k → 13%UW-GREEN BAY: $15k → 10%UW-OSHKOSH: $10k → 11%UW-LA CROSSE DEPARTMENT OF CHEMISTRY AND BIOCHEMISTRY: $18k → 12%UNIVERSITY OF WISCONSIN-PLATTEVILLE: $52k → 13%UNIVERSITY OF WISCONSIN-GREEN BAY: $10k → 10%UW-LA CROSSE: $9k → 12%UW-PLATTEVILLE: $19k → 13%UW-GREEN BAY DEPARTMENT OF INFORMATION AND COMPUTER SCIENCE: $9k → 10%UW-PLATTEVILLE DEPARTMENT OF CHEMISTRY: $10k → 13%UW-GREEN BAY: $8k → 10%UW-PLATTEVILLE: $10k → 13%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.
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.
03Its 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 6 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
0/4
Grew since first funded

Where the money sits, by cause and then by grantee

UNIVERSITY OF WISCONSIN: $1,360,939 · OtherUNIVERSITY OF WISCONSINUniversity of Wisconsin Madison: $159,144 · OtherUniversity of Wisconsin MadisonUNIVERSITY OF WISCONSIN - EAU CLAIRE FOUNDATION INC: $76,540 · EducationTHE UWM FOUNDATION INC: $16,683 · EducationWISCONSIN TECHNOLOGY COUNCIL INC: $19,750 · Community ImprovementUWM RESEARCH FOUNDATION INC: $16,683 · Community Improvement
Other$1,520,083Education$93,223Community Improvement$36,433

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

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetUNIVERSITY OF WISCONSIN - EAU CLAIRE FOUNDATION INC: $76,540 over 1y, 0.3% of budgetWISCONSIN TECHNOLOGY COUNCIL INC: $19,750 over 1y, 1.9% of budgetUWM RESEARCH FOUNDATION INC: $16,683 over 1y, 1.1% of budgetTHE UWM FOUNDATION INC: $16,683 over 1y, 0.0% 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.

How much its grantees rely on government

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

2025
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%4%8%11%15%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–15%
    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 6 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Wisys Technology’s filings →

    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