Transparency over the sales call
We publish our rate ranges by vertical, so you can see roughly what high-risk processing costs before you ever talk to us, final rate set by underwriting on the real specifics.
GivePayments is a US, bank-sponsored high-risk payment processor built for the verticals mainstream processors drop. We underwrite each business properly before boarding, publish our rate ranges, disclose reserves in writing, and commit to not deplatforming compliant merchants by surprise.
Why we exist
They fail because their processing was never built for them. A mass-market processor boards them in minutes, everything works while volume is small, and then, right as the business starts to scale, an automated risk model trips, the account freezes, and the funds are held. We started GivePayments because we'd watched that happen too many times to legitimate, compliant businesses that deserved better.
So the company is built around a single conviction: high-risk processing should be transparent and stable, not a trap that springs the month you succeed. Everything below, how we price, how we underwrite, how we treat reserves and terminations, follows from that conviction. We'd rather have a slightly harder conversation at the front than a much worse one when your cash flow is on the line.
What we believe
We publish our rate ranges by vertical, so you can see roughly what high-risk processing costs before you ever talk to us, final rate set by underwriting on the real specifics.
We underwrite the risk before boarding so there are no hidden tripwires, disclose reserve terms in writing, and manage accounts through disputes instead of dropping them at the first sign of friction.
Where a reserve is warranted, its percentage, hold period, and taper schedule are stated in your underwriting memo before you sign, not discovered later when funds are held.
How we underwrite
The modern part of how we work is that AI does what AI is good at and people do what people are good at. Every application and every transaction runs through AI risk screening, pattern analysis, velocity and device signals, vertical-specific fraud models, which is faster and sharper than any manual review at catching what's actually risky. But the decision to board, and the explanation behind it, comes from human underwriters who understand the vertical.
That combination is the point. Pure-automation processors are the ones that freeze good merchants, because a model with no human in the loop can only react. Pairing AI screening with human judgment is how we move quickly without treating every edge case as a threat.
How we underwrite
Every application and transaction runs through AI risk screening, pattern analysis, velocity and device signals, vertical-specific fraud models. But the decision to board, and the written explanation behind it, comes from human underwriters who understand the vertical.

Our footing
We're US-based and US-focused. We process for American merchants on domestic, USD-settling accounts through US sponsor-bank relationships, with US-based support. We're deliberately not an offshore placement shop, offshore has its place for specific extreme cases, but stable domestic processing is the right fit for the large majority of US high-risk merchants, and it's what we're built to deliver.
On principle and by agreement, we never publish our sponsor bank's name; “our sponsor bank” is how we refer to that relationship throughout the site. GivePayments is run by people who came up in payments and high-risk underwriting and got tired of watching the industry treat compliant merchants as disposable, so we built the underwriting, fraud, and support functions in-house. The people deciding your account are the people you can reach.
FAQ
GivePayments is a US, bank-sponsored payment processor specializing in high-risk merchant accounts. We board the verticals mainstream processors decline, supplements, subscriptions, coaching, peptides, nonprofits, platforms, and more, by underwriting each business properly before boarding and pricing for the risk transparently. Our model pairs AI-driven risk screening with human underwriting decisions, and we commit to not deplatforming compliant merchants without cause.
GivePayments is a bank-sponsored processor: we operate through sponsor-bank relationships and acquiring partners to board merchants onto dedicated merchant accounts, and we underwrite, price, and support those accounts directly. That's different from a lead broker that hands you off after the sale. When you have a question, a dispute, or a reserve to discuss, you're talking to the people who run your account, not a referral middleman.
GivePayments is US-based and US-focused. We process for American merchants on domestic, USD-settling accounts through US sponsor-bank relationships, with US-based support. We're not an offshore placement shop; our focus is stable domestic high-risk processing, which is the right fit for the large majority of US merchants in high-risk verticals.
Our commitment is not to deplatform compliant merchants by surprise. The reason high-risk merchants get burned by mainstream processors is sudden, automated terminations, accounts frozen the moment a risk model trips. We underwrite the risk before boarding so there are no hidden tripwires, and we manage accounts through disputes rather than dropping them at the first sign of friction. We will act on genuine compliance or fraud problems, but a merchant operating cleanly within its underwritten terms shouldn't fear a freeze.
Three things: we publish our rate ranges by vertical instead of hiding them behind a sales call; we disclose reserve terms, percentage, hold period, and taper, in writing before boarding; and we underwrite the specific model before approving it, so the account that goes live is built to stay live. Combined with AI fraud screening and US-based, processor-direct support, that's a deliberately more transparent, more stable version of high-risk processing.
That's the entire reason this company exists. Get underwritten properly, with your rate and reserve in writing before you commit.