funder-graph

FundersMI

Grants paid by Vattikuti India Relief Foundation

EIN 26-3450613 · Southfield, MI · Form 990-PF, Part XV · NTEE T22

Vattikuti India Relief Foundation of Southfield, MI (EIN 26-3450613) reported 7 grants paid totaling $916,082 to 6 recipients in tax years 2018–2023, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$916,082

7 grants

Recipients

6

distinct organizations

Tax years

2018–2023

3 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20184$582,762
20222$116,882
20231$216,438

Top recipients

The 6 recipients receiving the most from Vattikuti India Relief Foundation, by grants paid, out of 6 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Vattikuti India FoundationUKarnataka, BANGALORE 5601001$511,0002018
Vattikuti India FoundationUBangalore2$316,4382023
Rashtriya Gramin Vikas Nidhi (rvgn)UKamrup, ASSAM 7810211$51,2772018
PrarambhaUBangalore, KARNATAKA 5832821$16,8822022
BaifUWarje, PUNE 4110581$11,2282018
Initiatives for Development Foundation (idf)UBengaluru, KARNATAKA 5600411$9,2572018

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Every grant

All 7 grant rows this organization reported, most recent first.

Grants reported by Vattikuti India Relief Foundation
Tax yearRecipientMatchAmountTypePurposeSource filing
2023Vattikuti India Foundation BangaloreU$216,438paidTO SUPPORT A FELLOWSHIP PROGRAM WITH OBJECTIVE TO TRAIN SURGEONS USING ROBOTIC TECHNOLOGY IN INDIA202500349349100730
2022Vattikuti India Foundation BangaloreU$100,000paidTO SUPPORT A FELLOWSHIP PROGRAM WITH OBJECTIVE TO TRAIN SURGEONS USING ROBOTIC TECHNOLOGY IN INDIA202343199349110184
2022Prarambha Bangalore, KARNATAKA 583282U$16,882paidTO SUPPORT PROGRAMS THAT HELP VULNERABLE PEOPLE (INDIVIDUALS, HOUSEHOLDS, GROUPS AND COMMUNITIES) IN KARNATAKA, INDIA202343199349110184
2018Vattikuti India Foundation Karnataka, BANGALORE 560100U$511,000paidTO HELP ALLEVIATE POVERTY & IMPROVE MEDICAL & EDUCATION SERVICES IN INDIA201931899349100003
2018Rashtriya Gramin Vikas Nidhi (rvgn) Kamrup, ASSAM 781021U$51,277paidPOVERTY ALLEVIATION PROJECT IN INDIA201931899349100003
2018Baif Warje, PUNE 411058U$11,228paidTO HELP ALLEVIATE POVERTY & IMPROVE MEDICAL & EDUCATION SERVICES IN INDIA201931899349100003
2018Initiatives for Development Foundation (idf) Bengaluru, KARNATAKA 560041U$9,257paidTO HELP ALLEVIATE POVERTY & IMPROVE MEDICAL & EDUCATION SERVICES IN INDIA201931899349100003

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.

Source filings

Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.

Returns this page is derived from
FormTax yearPeriod endFiledSchemaIRS OBJECT_ID
990PF20232023-12-31not stated2023v6.0202500349349100730
990PF20222022-12-31not stated2022v5.0202343199349110184
990PF20182018-12-31not stated2018v3.1201931899349100003

Derived from IRS Form 990-PF e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/263450613.json.

The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.

This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.