Funders › CA › Amar Foundation Co Mccabe & Totah Llp › 2024
Grants paid by Amar Foundation Co Mccabe & Totah Llp, tax year 2024
EIN 94-3055731 · San Jose, CA · Form 990-PF, Part XV
In tax year 2024, Amar Foundation Co Mccabe & Totah Llp (EIN 94-3055731) reported 3 grants paid totaling $1,100,000. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2024
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Integrative Bioinformatics Inc Mountain View, CA | D | $700,000 | paid | Support for educational and scientific purposes, also utilize fund for research "identification of switches/traps in ME/CFS nitrogen metabolism". | 202543189349103439 |
| 2024 | Rigas Stradins University Riga | U | $200,000 | paid | Support for study and research of SARS CoV-2 and infectious origin of chronic fatigue syndrome, and understanding potential infectious triggers and mitochondrial dysfunction in ME.CFS. | 202543189349103439 |
| 2024 | Simmaron Research Inc Incline Vallage, NV | B | $200,000 | paid | To fund trial of "Low-Does Rampamycin in patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome". | 202543189349103439 |
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.
Derived from IRS Form 990-PF e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
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.