Skip to content
Foundation DossiersAlso receives grants: funding profile →

North Carolina · Public charity

International Society of Automation

The INTERNATIONAL SOCIETY OF AUTOMATION (isa) is a non-profit professional association founded in 1945 to create a better world through automation. Isa empowers the global automation community through standards and knowledge sharing, driving the advancement of individual careers and the overall profession. Isa develops widely used global…

$78k
Granted FY2024(still arriving)
1
Itemized grants FY2024
1
Organizations funded FY2018
Read the full brief
Itemized, FY2024
$7k
The rest is grants the schedule does not break out
Median grant, FY2024
$7,000
Largest grant, FY2024
$7,000
States reached, FY2024
1
Total assets, FY2024
$51M
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2024.

Education$13k

Top grantees

Largest recipients by total granted, FY2018 to FY2024, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Lamar University Foundation Inc$7,00040%
Texas A&M Agrilife Research$6,0001n/a

Compare International Society of Automation with peer funders

About International Society of Automation

How much does International Society of Automation give?
International Society of Automation reported 1 itemized grants totaling $7,000, out of $77,653 in total grant expense reported on the return in its FY2024 IRS filing.
What does International Society of Automation fund?
By grant dollars over FY2018 to FY2024, its largest causes are Education (100%).
Who are International Society of Automation's largest grantees?
By total granted over FY2018 to FY2024: Lamar University Foundation Inc ($7k), Texas A&M Agrilife Research ($6k).
Where is International Society of Automation based?
International Society of Automation is based in NC.

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 2 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

Play a game based on International Society of Automation’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