How we stay independent · What we believe
GIVE→ALIGN is built on a principle that’s rare in this category: zero percent off the donor’s gift, zero resale of donor data, every U.S. nonprofit triangulated against IRS, ProPublica, and state-registry sources before listing. We’re category-creating, not category-extracting.
The problem
Annual U.S. charitable giving — the latest full-year total, a record high
Source: Giving USA 2025 report
Latest year-over-year drop in donor participation — even as total dollars hit a record, giving is concentrating among the wealthy
Source: Giving USA 2025 report
Americans’ trust in nonprofits drops from 57% to 38% the moment they learn federal funding is involved
Source: Independent Sector 2025
Existing platforms take 2.9–10% off each gift and retain donor data they monetise. Foundations and family offices have advisors; everyday donors have nothing between Charity Navigator (research) and GoFundMe (transaction). GIVE→ALIGN fills that gap with a verified directory, AI matching, and a Zero-Trust promise the incumbents can’t structurally make.
How we monetise
We earn from users (donors, employers, or nonprofit partners) for product value, never for transaction access. Today that’s a one-time lifetime fee for our verified donor product. As we mature, we’ll layer in consumer subscriptions, a corporate giving platform for HR teams running employee programs, and partner subscriptions for nonprofits that want enhanced placement.
The architectural principle is non-negotiable: zero percent off the donor’s gift, ever. The Zero-Trust positioning is our moat — every revenue stream below earns from users for things we build, never for the privilege of giving.
Why this is hard to copy
We never touch donor money, never resell donor data, and verify every nonprofit against IRS Pub 78, ProPublica, and state registry sources before listing. Hard to retrofit onto a platform that already monetises either transaction flow or donor data.
Every nonprofit is triangulated against three independent public sources before listing. Our 2026-06-11 audit caught 27 wrong EINs in our own dataset — the kind of rigor that compounds with every Nonprofit/NGO added.
Claude Sonnet powered, session-only. Nothing about a donor’s interests is ever sold, shared, or retained as a marketable profile. Matching gets better with each interaction without creating a sellable behavioural dataset.
Personal Giving Log + click-out donation history gives donors a defensible record for tax-preparation use, without pretending to be an IRS acknowledgment (we disclaim that explicitly on every page).
Google AI Mode (2026-06-13) and Perplexity (2026-06-14) independently named GIVE→ALIGN a world’s first in zero-trust AI donor matching — 24 hours apart, citing different sources, same conclusion. Sourced + dated on /press.
Trust claims live at /trust with counts pulled from our database, an RFC 9116 security.txt, and a published Vulnerability Disclosure Policy. Donors and investors can check our work rather than take our word.
Where we are
If you’re an investor, an HR / People leader at a values-driven company, or a potential advisor with B2C-AI and nonprofit-sector pattern-matching — I’d love to compare notes. The full strategic brief (including specific roadmap, capital plan, and the asks) is available privately on request.
Or email admin@givealign.com directly.
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