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California · Public charity

Accel Ai Institute

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$29k
Granted FY2021
2
Itemized grants FY2021
2
Organizations funded FY2021
100%
First-time grantees FY2021
Read the full brief
Itemized, FY2021
$85
The rest is grants the schedule does not break out
Median grant, FY2021
$50
Largest grant, FY2021
$50
Organizations funded a year
2 to 2
FY2020 to FY2021
States reached, FY2021
2
Total assets, FY2021
$385k

How open it is to new grantees

In FY2021, 100% of the organizations Accel Ai Institute funded were first-time grantees, receiving 100% of its grant dollars.

The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20212$85100%
FY20202$145n/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2021.

Animals$104Education$85Housing & Shelter$41

Top grantees

Largest recipients by total granted, FY2020 to FY2021, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Zoos Ferret Sanctuary N F P$1041n/a
Ninos del Sol Inc$5010%
Habitat for Humanity of Lake County$4110%
The Ninety-Nines Inc$3510%

Compare Accel Ai Institute with peer funders

About Accel Ai Institute

How much does Accel Ai Institute give?
Accel Ai Institute reported 2 itemized grants totaling $85, out of $29,380 in total grant expense reported on the return in its FY2021 IRS filing. It funded between 2 and 2 organizations a year over FY2020 to FY2021.
What does Accel Ai Institute fund?
By grant dollars over FY2020 to FY2021, its largest causes are Animals (45%), Education (37%), Housing & Shelter (18%).
Who are Accel Ai Institute's largest grantees?
By total granted over FY2020 to FY2021: Zoos Ferret Sanctuary N F P ($104), Ninos del Sol Inc ($50), Habitat for Humanity of Lake County ($41).
Does Accel Ai Institute fund new organizations?
In FY2021, 100% of the organizations it funded were first-time grantees.
Where is Accel Ai Institute based?
Accel Ai Institute is based in CA.

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 4 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 2021, released 2021. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports $145k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2021, the most recent year this funder named its grantees.

Source object · view filing

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The unnamed billions
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The camps
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By state
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