Grants paid by Apparel Impact Institute
EIN 45-5146805 · Oakland, CA · Form 990, Schedule I · NTEE C05
Apparel Impact Institute of Oakland, CA (EIN 45-5146805) reported 4 grants paid totaling $1,033,820 to 4 recipients in tax years 2023–2024, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$1,033,820
4 grants
Recipients
4
distinct organizations
Tax years
2023–2024
2 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2023 | 2 | $749,005 | — |
| 2024 | 2 | $284,815 | — |
Top recipients
The 4 recipients receiving the most from Apparel Impact Institute, by grants paid, out of 4 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Precision Development 81-0779400 | A | Newton, MA | 1 | $499,005 | 2023 |
| Global Efficiency Inteligence | U | Petersburg, FL | 1 | $250,000 | 2023 |
| Amphico | U | London | 1 | $213,600 | 2024 |
| Grant Thornton Bharat | U | Aerocity New Delhi, 110037 | 1 | $71,215 | 2024 |
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 4 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Amphico London | U | $213,600 | paid | REDUCE PROCESS ENERGY DEMAND WITH WATERLESS TEXTILE COLORATION THROUGH OPTICAL COLOR-MIXING AND MACHINE LEARNING COLOR-RECIPE PREDICTION. MACHINE LEARNING IS USED TO PREDICT THE COLOR RECIPE NEEDED FROMTHE PRIMARY COLORS. THIS MAKES DOPE DYEING SCALABLE AS IT REMOVES THE MINIMUM ORDER QUANTITY BARRIER. THISSOLUTION REDUCES GHG EMISSIONS AS IT REMOVES THE DYEING IN WATER BATH AND EXCESSIVE DYE WASH OFF PROCESS | 202501609349300910 |
| 2024 | Grant Thornton Bharat Aerocity New Delhi, 110037 | U | $71,215 | paid | ESTABLISH PROOF OF CONCEPT THAT SWITCHING TO SYNTHETIC LUBRICANTS REDUCES ENERGY LOSSES. DEVELOP A CONSOLIDATED BEST PRACTICE GUIDE FOR ACCELERATED REPLICATION OF THE SOLUTION ACROSS TIER 2 AND 3 MILLS. | 202501609349300910 |
| 2023 | Precision Development Newton, MA | A | $499,005 | paid | ADDRESS THE INEFFICIENT USE OF NITROGEN FERTILIZER IN COTTON CULTIVATION, WHICH IS AM INA DRIVER OF GHG EMISSIONS FROM COTTONG EXTRACTION. | 202411779349300516 |
| 2023 | Global Efficiency Inteligence Petersburg, FL | U | $250,000 | paid | ALTERNATIVE ENERGY SOURCES, BEST PRACTICE POILICIES, MATRIX OF TECHNOLOGY READINESS, LOW-CARBON ENERGY SOURCE/TECHNOLOGY EVALUATION TABLE | 202411779349300516 |
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.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990 | 2024 | 2024-12-31 | not stated | 2024v5.1 | 202501609349300910 |
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.0 | 202411779349300516 |
Derived from IRS Form 990 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/455146805.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.