Payment Gateway and SDK

The routing engine evaluates each active gateway against three parameters at the moment of each transaction: current success rate for the transaction type and currency, per-transaction cost, and current latency. These are weighted against a configurable priority model and a decision is produced in milliseconds. The routing decision is logged as part of the transaction record, so analytics can show which routing choices produced which outcomes over time — enabling continuous model refinement without manual analysis.

The model scores each transaction against a feature set that includes transaction amount, merchant category, device fingerprint, historical behaviour patterns, and velocity signals. Features are retrieved from a Redis-backed store that is updated in near real time rather than on a batch cycle — which is what keeps the model responsive to behavioural shifts. The score is produced in under 100ms, which keeps it within the transaction processing window so it can gate the transaction rather than flag it for post-settlement review.

It means compliance requirements are addressed at the architecture design stage rather than retrofitted after the build. Cardholder data is tokenized at entry and never stored in application databases. Audit logs are generated automatically at the infrastructure level. Access controls are applied at the data layer, not just the application layer. Network segmentation isolates the payment processing environment from other system components. When an external QSA reviews the implementation, the compliance evidence exists in the architecture rather than in compensating controls applied after the fact.

Settlement files arrive from each gateway on their own schedule and in their own format. The reconciliation pipeline ingests each file, normalizes it, and matches each settlement record against the corresponding internal transaction record. Matches are confirmed automatically. Unmatched records — due to timing differences, partial settlements, or gateway errors — surface as exceptions with the data needed to investigate them. This replaces a manual process where finance teams download settlement reports and compare them against internal records in spreadsheets, which scales poorly as transaction volume increases.

A full payment orchestration platform — covering multi-gateway integration, smart routing, ML fraud scoring, automated reconciliation, and event streaming — typically runs fourteen to twenty weeks from architecture sign-off to production. The range depends on the number of gateways in scope, the complexity of existing settlement workflows, and whether the ML fraud model is built from scratch or adapted from an existing model. We assess scope during the discovery phase before committing to a timeline.

The system is handed over production-ready, load-tested, and documented. Your team can maintain and extend it independently. We do not build on proprietary frameworks that require ongoing vendor involvement to operate. If your team wants a formal support arrangement post-launch, that is a separate conversation.

In most BFSI organizations, the decision sits across both. Engineering owns the integration architecture and gateway SLA requirements. Finance owns settlement, reconciliation, and cost per transaction. Our engagements typically involve both stakeholders from the discovery phase, because routing optimization decisions affect cost structures that finance needs visibility into, and reconciliation automation affects workflows that finance currently owns manually.