Marketplaces
Marketplaces run more payment surface than any single provider covers, across multiple PSPs, regions and flows. Payinference is one decision layer above all of them. Every payment is decided against the same version-controlled policy, from the same cached signals, with the same audit trail.
More providers, more flows, less consistency
Multi-provider stacks accumulate divergent logic. Each integration retries differently, applies different rules, and records different evidence. Nobody can say whether two similar payments in two regions were treated the same way, or explain, later, why either was treated the way it was.
One layer, consistent decisions
Solutions that fit
The same decision layer, pointed at the problems this industry actually has.
Payment optimization
Choose the best action for every payment before it is sent. Routing, failover and fallback are decided per payment from live health, cost and policy signals.
Policy governance
Payment policy as an explicit, version-controlled artifact. It is written down, enforced identically on every decision, and keeps a record of which version decided what.
Decision audit
Every payment decision is recorded with its inputs, matched rules, reason codes and policy version, so any instruction can be replayed and explained after the fact.
Frequently asked questions
Common questions from marketplaces teams evaluating Payinference.
Payinference is provider-neutral by design. Because it never calls a PSP itself, it needs no provider integration to work. Each decision request lists the providers available to you, and you execute the instruction through the stack you already run.
Orchestrators sit in your payment flow and execute transactions across providers. Payinference sits above the flow and only decides. You keep your existing PSP integrations, contracts and settlement exactly as they are. Payinference tells your stack which action to take, and your stack carries it out.
In shadow mode Payinference returns decisions and records what it would have done while your existing logic keeps executing, so you can evaluate decision quality against real traffic with zero risk. In enforce mode your stack executes the returned instruction.