Immutable double-entry core
Append-only journals with deterministic balance projection. Nothing is ever edited; corrections are entries of their own.
A double-entry ledger, KYC pipeline and payout rail you can embed in your own product — the engine behind our consumer wallet, offered white-label.
Ledgerline
Live · B2B
Ledger writes
Exactly-once
Reconciliation
Continuous
Payout rails
UPI, ACH, SEPA, FPS
Ledgerline began as the core powering Vaultra. Once it had survived real consumer money movement, regulatory reporting and reconciliation at volume, we made it available to other operators.
At its centre is an immutable double-entry ledger: every balance is a derived value, every movement is a journal entry, and reconciliation is a query rather than a month-end project. Around it sit KYC/KYB orchestration, multi-rail payouts and a rules engine for limits and risk.
Marketplaces, gig platforms and fintechs use it to hold balances, split payments and pay out — without becoming a ledger company themselves. It is infrastructure, not a licence: partners operate under their own or a sponsor's regulatory permissions.
Built for
Marketplaces, gig platforms, neobank builders and vertical SaaS adding payments.
Technology
Six capabilities that define Ledgerline. Each one exists because a customer needed it, not because a competitor listed it.
Append-only journals with deterministic balance projection. Nothing is ever edited; corrections are entries of their own.
Provider-agnostic identity verification with fallbacks, re-verification schedules and a decision log built for examiner review.
UPI and IMPS in India, ACH and RTP in the US, SEPA and Faster Payments in Europe and the UK, behind one idempotent API.
Declarative velocity, exposure and sanctions rules evaluated inline, with shadow mode so you can test before enforcing.
Pre-built extracts for transaction monitoring, suspicious activity review and period-end statements.
A full simulator for settlement delays, partial failures and reversals — so your edge cases are tested before production finds them.
We run demos on a sanitised slice of your own catalogue, ledger or inventory rather than a canned dataset — so you see how it behaves with your edge cases, not ours.
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