Every transaction. Posted in real time. Auditable forever.
A transaction engine built for the volumes, the scrutiny and the real-time expectations of modern banking in emerging markets. Authorise, post and reconcile in real time, with inline risk checks, full traceability, and the resilience to handle whatever your growth throws at it.
Scale up without breaking. Slow down without surprises.
The transaction engine is the most performance-critical component in any banking platform. When it is slow, customers notice. When it fails, the consequences are immediate and visible. When it processes something incorrectly, the correction is painful.
Oradian's transaction engine was designed for the specific conditions of banking in emerging markets: high transaction volumes concentrated at predictable moments, payday, end of month, salary cycles. Mobile-first payment patterns where frequency is high and average value is low. And multi-channel environments where a customer might transact through an app, an agent and a USSD session on the same day, and expect all three to reflect the same real-time balance.
Every capability in the engine, real-time posting, inline risk checks, idempotent APIs, full traceability, is a response to a real operational problem institutions in our markets face.
Built for the volumes, the scrutiny, and the real-time expectations.
Real-time posting, always
Balances update the moment a transaction completes. Not in the next batch run. Not after an overnight process. The moment the transaction is authorised and settled. For AI fraud detection, real-time posting is a prerequisite, models need current balance and history, not a snapshot from six hours ago.
High throughput for peak volumes
Engineered for peak, payday spikes, end-of-month settlements, product launches that drive unexpected volume. The engine scales horizontally on the underlying cloud infrastructure, handling volume increases without degrading response times or requiring manual intervention.
Inline risk checks in the transaction path
Fraud detection, AML checks and limit enforcement run in the transaction path, before completion, not after. If a transaction triggers a rule or exceeds a limit, it is flagged or blocked before money moves. The architecture that makes real-time fraud prevention possible.
Full traceability, every transaction replayable
Every transaction is stored with complete context: the channel it came from, the user or system that initiated it, the risk checks it passed, the ledger entries it created and the customer record it updated. When a customer disputes a transaction, your team can replay the complete sequence in minutes.
Any channel, one engine
Cards, transfers, mobile wallet, agent network, USSD, all processed by the same transaction engine against the same ledger. A customer who transacts through an agent in the morning and checks their balance on the mobile app in the afternoon sees the same number.
Idempotent APIs, retries are safe
All transaction APIs are idempotent: submitting the same request multiple times produces the same result as submitting it once. When networks fail mid-transaction, which happens, the customer's app can safely retry without creating a duplicate posting or a double-charge.
The transaction stream your AI models need.
AI fraud detection, real-time credit decisioning and churn prediction all depend on a continuous stream of current transaction data. Oradian's transaction engine publishes every event to a real-time stream that AI systems can subscribe to and act on immediately, before the next batch, before the next report, before the damage is done.
For fraud detection specifically, the value of real-time transaction streams cannot be overstated. A model that receives transaction data sixty seconds after it occurs catches fraud sixty seconds later than one that receives it immediately. At scale, that sixty seconds is the difference between stopping a transaction and reversing one.
Every event, every channel, every authorisation, published in real time to the AI systems that decide what to do next.
Process every transaction like it's the only one.
High-throughput processing with end-to-end traceability and real-time event streams.
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