Automated ingestion
Bring in raw data through APIs, files and native streaming sources on scheduled or continuous cycles.
Enterprise data reconciliationContinuous complex reconciliation, built for enterprise scale.
TrueMatch ingests fragmented raw data, normalises it into a reliable record and applies configurable N-way matching to reduce manual effort, accelerate exception review and strengthen financial control.
Settlement pipelineContinuous run
Source recordsAPI · file · stream
NormaliseUnified schema
N-way matchConfigurable rules
Matched98.7%
Exceptions1,248
Sources08
Scheme vs switch06:10 UTCComplete
Gateway vs ledger06:18 UTCReview
Bank vs settlement06:26 UTCComplete
Reconciliation engine
Turn fragmented transaction data into one controlled process.
TrueMatch combines automated ingestion, unified records and scheduled matching to reduce spreadsheet dependency and manual intervention.
Dynamic normalisation
Adapt raw source formats into a consistent schema ready for matching, analysis and reporting.
Many-to-many matching
Reconcile complex transaction sets across more than two sources and multiple relationship patterns.
Configurable rules
Define matching logic, thresholds and tolerances for each use case without rebuilding the platform.
Discrepancy visibility
Surface unmatched and partially matched records for focused investigation and controlled resolution.
Reporting & export
Use predefined reconciliation reports, custom dashboards and configurable external data outputs.
Continuous optimisation loop
Source, standardise, match and evidence.
The reconciliation cycle runs in the background while operations teams focus on the exceptions that need judgement.
Ingest
Acquire data through direct APIs, file exchange or streaming integrations, including ISO message formats.
Normalise
Map fields, validate structure and transform heterogeneous feeds into a unified record model.
Match
Apply many-to-many logic, thresholds, tolerances and use-case-specific matching rules.
Report
Review discrepancies, settlement status, trends and configurable outputs for downstream networks.
Integration & scale
Designed for changing data ecosystems and growing volumes.
An API-first, connector-based architecture makes it easier to onboard new sources and evolve reconciliation logic as the operating model changes.
Data acquisition
- Direct API and file-based sourcing
- Native streaming data sources
- Support for ISO 8583 and ISO 20022 flows
- Pre-built adapters for common platforms
- Custom feeds through API-first integration
Enterprise operation
- Processing for high-volume record sets
- Horizontal scaling as data volumes grow
- Scheduled ingestion and matching cycles
- Configurable thresholds and tolerances
- Rules tuned without core-code changes
Operational control
Give each team the visibility required to act.
Dashboards, discrepancy views, N-way reconciliation and configurable outputs create a clearer line from raw data to accountable resolution.
Custom dashboards
Shape current-state views around the metrics, cycles, sources and exception classes relevant to each team.
Discrepancy analysis
Focus operations on the records that did not reconcile and preserve the context needed for resolution.
Reports & data export
Produce settlement and reconciliation reports and configure outputs for schemes, switches and external networks.