Sample funder match
How AMD FOUNDATION INC stacks up for Riverside Youth Coding Academy.
This is the same funder analysis Kindora delivers to a real nonprofit user — fit verdict, alignment notes, giving footprint, and recommended next steps. The funder is real; the sample analysis was generated for a fictional Bay Area youth STEM nonprofit.
AMD FOUNDATION INC
EIN 71-1036553
Fit score
74
Fit analysis
Why this funder ranked where it did against the sample org's mission and programs.
AMD Foundation appears to be a credible and worthwhile prospect for Riverside Youth Coding Academy based on strong programmatic alignment and meaningful California grantmaking. The foundation’s documented giving is concentrated in STEM education, computer science access, and underrepresented student pathways, including a $150,000 grant to Code.org for young women in computer science and a $13,000 grant to Texas Alliance for Minorities in Engineering. Geographic fit is not perfect because AMD’s largest concentration is Texas, but actual 990 grant history shows 11.7% of total giving to California and repeated grants to a California-based intermediary (Give2Asia), which keeps this above a speculative prospect. The main constraints are limited grant volume, a very small dataset, no clearly documented open application process, and missing grantee data on budget, age, and precise service geography. This is worth pursuing if Riverside can present itself as a Bay Area STEM-equity pipeline serving youth underrepresented in technology and can secure a warm introduction.
Strategic framing
Position Riverside as a practical equity-and-workforce bridge: a nonprofit that moves students from exposure to skill-building to paid applied experience in technology. The strongest framing is not generic youth development but measurable STEM inclusion, especially for students who are underrepresented in computing. The proposal should connect AMD’s demonstrated interest in computer science, women in tech, and minority engineering pathways with Riverside’s hands-on cohort model, apprenticeship placements, and employer engagement. Fundraising materials should be specific about outcomes, student demographics, and what AMD funds would unlock over a defined 12-month period.
What's working
- Free access model reduces financial barriers to STEM participation.
- In-school, after-school, and summer delivery creates year-round engagement and reach.
- Paid teen apprenticeship pipeline distinguishes Riverside from typical coding nonprofits.
- Mentor base from Bay Area tech companies aligns well with a corporate foundation audience.
- Potential school district partnerships offer scale and credibility.
What's marginal
- Riverside’s exact geography is not formally specified; Bay Area location is inferred rather than documented.
- No grantee budget, age, or staff data were provided, limiting organizational-fit analysis.
- No explicit evidence of AMD Foundation grants to Oakland or San Francisco organizations in the available grant record.
- No known open application process or documented submission pathway was provided.
- The grantee profile does not explicitly state whether it prioritizes girls, young women, or other underrepresented populations in tech, which would strengthen alignment materially.
Programs that match
- STEM education / computer science education
- Equity in technology pathways for underrepresented youth and girls
- Community partnership / local impact model
What we'd want to confirm
- What exact geographies does Riverside serve, and can it document Oakland/San Francisco reach?
- What student demographics does Riverside serve, especially girls and underrepresented youth in tech?
- What are the placement and retention outcomes for the apprenticeship pipeline?
- Does Riverside have Bay Area corporate partners that could create a warm path to AMD?
- Is there a formal AMD Foundation application pathway, or is outreach relationship-based?
Suggested next steps
- Verify and present Riverside’s full legal/tax details, EIN, headquarters city, and service geography clearly in all outreach materials.
- Build the case around measurable STEM-equity outcomes: number of youth served, demographics, coding skill gains, paid apprenticeships placed, and employer partners.
- Frame the request as a technology-access and opportunity pipeline for underrepresented Bay Area students, not just a coding class provider.
- Seek a warm introduction through AMD employees, Bay Area tech partners, school district partners, or community foundation contacts before submitting any request.
- Start with a relationship-building inquiry or concise concept note rather than a full unsolicited proposal, unless AMD confirms an open process.
- Request a program grant in the $20,000-$25,000 range for a clearly bounded initiative such as a girls-in-coding cohort, apprenticeship expansion, or school-year/summer pathway.
- If Riverside has data on young women, first-generation students, low-income youth, or students of color served, foreground that evidence prominently.
- Reference AMD’s prior support for Code.org and minority engineering pathways to show a direct understanding of the foundation’s giving pattern.
Generated by Kindora's AI from the funder's public 990 filings, public website, and aggregated public grant history.
Funder snapshot
Capacity and giving footprint at a glance — drawn from the latest public 990 filings.
Total assets
$358k
Annual giving
$540k
Geographic scope
National
33% in TX
Application mode
Not specified
| Grant size | 25th percentile | Median | 75th percentile |
|---|---|---|---|
| Range across recent grants | $11k | $15k | $23k |
The AMD Foundation concentrates its giving on STEM education initiatives, with particular emphasis on computer science and expanding access for underrepresented students. Grants flow to a mix of local Austin institutions and national education nonprofits, supporting program delivery (traveling science workshops, K–12 STEM) and targeted efforts to increase participation of women and minorities in engineering and computing.
Source: Latest public IRS Form 990 / 990-PF filings and aggregated public grant histories.
Focus areas
Themes Kindora extracted from the funder's public profile, program pages, and grant history.
Programmatic focus
Funding philosophy
Beneficiary types
Source: Public funder websites, public program pages, and AI synthesis of public 990 filings.
Recent giving signals
A look at where this funder has placed grants recently — useful for benchmarking and warm-intro paths.
Notable grantees
Stated focus areas (from public profile)
- K–12 STEM education programs in Austin (traveling science workshops, local student enrichment)
- Computer science education with emphasis on young women (Code.org partnerships and programs)
- STEM access for underrepresented minorities (support for minority engineering pipeline organizations)
- Regional philanthropy intermediaries that fund STEM initiatives (support via community foundation and Give2Asia)
Source: Public 990 grant lists and the funder's own published program descriptions.
Take the next step
Go deeper on this funder.
In the live product, briefs are generated for your top matches first. The sample org has briefs for 7 funders.
Sample analysis — generated for fictional org against real public funders
Sample data: Riverside Youth Coding Academy is a fictional 501(c)(3). The fit score, verdict, and rationales above were generated by Kindora's real matching and AI fit-analysis pipelines using public IRS Form 990 filings, public funder websites, and aggregated public grant histories. The funder is real.
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