Built for the case no one else designed for.
Every payment platform we evaluated assumed a human business as the paying party. We built Payman because that assumption breaks the moment an AI agent needs to compensate a person for real work.
AI agents need to pay people. Nothing handled that.
Gig platforms route humans to human employers. B2B rails move money between companies. Neither model accommodates a machine as the originating payer — with its own wallet, its own task logic, and its own settlement requirements.
So we designed the infrastructure from that starting point: the payer is an agent, the payee is a person, and the transaction must close without a human approving it on the sending side.
Fees, uptime, and ledger — all public.
Transaction ledger
Fee structure
Uptime record
Every payment routed through Payman is logged with a verifiable record — task ID, agent ID, amount, method, and timestamp. Queryable via API.
Flat per-transaction fee. No percentage rake on worker earnings. No hidden conversion spread on crypto settlements. Published in full at status.paymanai.com.
Rolling 90-day uptime posted publicly. If the payment rail is down, you see it before we tell you — because your agent's task queue can't wait for a status email.
Payment engineers and AI infrastructure builders.
The team holds direct experience across payment processing rails and AI agent orchestration — not adjacent consulting, not product management of other people's systems. We ran the systems we're now rebuilding for a new payer class.