Sample funder match
How THE APPLIED MATERIALS FOUNDATION 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.
THE APPLIED MATERIALS FOUNDATION
EIN 77-0386898
Fit score
76
Fit analysis
Why this funder ranked where it did against the sample org's mission and programs.
The Applied Materials Foundation appears to be a credible and worthwhile prospect for Riverside Youth Coding Academy because there is strong issue alignment around youth STEM education, girls-focused technology access, workforce/apprenticeship pathways, and Bay Area community investment. Geographic fit is a major strength: 53.9% of total grant dollars went to California, with significant concentration in Mountain View, San Jose, and broader Silicon Valley/Bay Area communities. The foundation has also made relevant direct grants such as $100,000 to Techbridge Girls, $40,000 to Girlstart for Bay Area STEM education, and education/community investments routed through Silicon Valley Community Foundation. However, this is not an ideal fit because much of the portfolio is highly concentrated in pass-through vehicles such as Silicon Valley Community Foundation and Blackbaud Giving Fund, the application pathway for core charitable investments appears targeted or invite-only, and key organizational fit data for the grantee (budget, age, staff size, exact headquarters) is missing. Bottom line: worth pursuing if Riverside can demonstrate Bay Area student reach, especially in Oakland/San Francisco, and position itself as an equity-centered CS access and apprenticeship pipeline partner.
Strategic framing
Riverside should position itself not as a generic afterschool coding nonprofit, but as a Bay Area STEM-equity pipeline builder that moves underserved students from classroom exposure to paid applied learning and career readiness. The strongest frame is: free, school-embedded computer science access for underrepresented youth, paired with measurable workforce pathways and district-level systems impact. If applicable, the proposal should explicitly quantify participation by girls, low-income students, first-generation students, and students of color, because the foundation's giving history suggests strong interest in equity-centered STEM opportunities.
What's working
- Strong overlap with youth STEM education and technical career pathways
- Clear Bay Area relevance in a region where the foundation gives heavily
- Free access model supports educational equity and inclusion
- Paid teen apprenticeships create a distinctive workforce-development bridge
- School-district partnerships and systems-change goals can appeal to community-impact framing
What's marginal
- Riverside's exact headquarters, legal details beyond 501(c)(3), operating budget, staff size, and organizational age were not provided, limiting full organizational-fit analysis.
- No known connections to Applied Materials Foundation staff, board, or employees were identified.
- The foundation's largest gifts are not representative of open direct grants and may not be accessible to a first-time applicant.
- It is unclear whether Riverside explicitly centers girls/young women or other priority populations the foundation has funded within STEM.
- San Francisco-specific grant history is not visible in the supplied city-level dataset, though broader Bay Area/California fit is strong.
Programs that match
- STEM Education Grants
- FY24 Charitable Investments (Applied Materials Foundation Grants)
- Community Vitality / Community Grants
- Employee Matching & Volunteer Grants
- Disaster Relief & Recovery Grants
What we'd want to confirm
- Can Riverside document a meaningful Bay Area service footprint today, not just future plans?
- Does Riverside have strong enough outcome data to compete for a targeted corporate foundation investment?
- Can the organization demonstrate readiness for corporate partnership stewardship and reporting?
- Is there a credible path to relationship access given the likely invite-driven nature of larger grants?
- Can Riverside substantiate how its apprenticeship model complements, rather than duplicates, district CS offerings?
Suggested next steps
- Confirm and document Riverside's exact Bay Area footprint, especially Oakland and San Francisco student counts, school partners, and site locations.
- Lead with a STEM equity + workforce pipeline case: free coding access, district-linked cohorts, paid teen apprenticeships, and outcomes for underrepresented youth.
- Prepare a first ask in the $25,000 range for a discrete, fundable component such as East Bay cohort expansion, instructor onboarding standardization, or apprenticeship growth.
- Develop a stronger corporate-volunteer angle and identify whether any Applied Materials employees could serve as mentors, speakers, judges, or internship hosts.
- Research whether Riverside has any indirect ties to Silicon Valley Community Foundation, Blackbaud Giving Fund campaigns, or Bay Area corporate philanthropy networks that can open doors.
- Produce concise outcomes data: student completion, demographic reach, persistence in CS pathways, apprenticeship placement, and school/district demand.
- If Riverside serves girls or can demonstrate strong participation by girls and underrepresented students in computing, elevate that evidence prominently.
- Treat this as a relationship-led prospect rather than a pure open-application opportunity; prioritize introductions and targeted outreach over generic submission.
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
$28M
Annual giving
$18M
Geographic scope
National
41% in CA
Application mode
Not specified
| Grant size | 25th percentile | Median | 75th percentile |
|---|---|---|---|
| Range across recent grants | $8k | $26k | $172k |
The Applied Materials Foundation primarily channels large, institutional gifts into philanthropic vehicles rather than directly funding programmatic nonprofits. Nearly all giving is routed through donor-advised/community foundation funds and employee matching platforms, indicating the foundation’s focus is on enabling and amplifying staff and company-directed philanthropy in the Silicon Valley region. Their grants function as pass-through or endowment-style contributions to support employee-driven and advised grantmaking.
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)
- Donor-advised / endowed fund at Silicon Valley Community Foundation (Applied Materials Foundation Fund)
- Employee matching and workplace giving (Blackbaud Giving Fund)
- Philanthropic infrastructure and grantmaking facilitation in Silicon Valley
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.
Want this with your own org?
Institutional grant prospecting is included in every Kindora plan, including the free trial. Sign up, complete onboarding, and your own ranked funder list with AI-generated intel briefs is ready in minutes.
Prefer a guided walkthrough? We're happy to show you what this looks like for your mission, programs, and geography.
For context: Foundation Directory Online runs ~$2,400/yr and DonorSearch ~$4,000/yr — both are data-only. Kindora plans start at $25/mo and include AI intel briefs plus drafting (grant applications and donor/foundation outreach) inside Kindora AI.