One place to look,
across every rail.

One normalised view across every payment rail and format, from a few seconds to 10+ years ago. Fast answers any team member can find and share without raising an IT ticket.

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Unified
Search
10+ years · all rails
Swift
MT – CBPR+ (MX)
LIVE
LVPS
STEP2 – FedACH – ACH – BACS
LIVE
HVPS
T2 – EURO1 – FedWire – CHIPS – CHAPS
LIVE
Instant
TIPS – RT1 – FedNow – RTP – FPS
LIVE

faster response times for payment queries

0 %

Compared to manual cross-system investigation

effort reduction for complex investigations

0 %
Across Customer Service and Payment Operations

of transaction data searchable in one place

0 + years
From a few seconds to 10+ years ago — unified and indexed

The cost of today's approach

When data is fragmented,
every question takes too long.

Payment data exists across dozens of systems, rails, and formats. But when no one can reach it without raising an IT ticket, the consequences stack up fast: root cause analysis stalls, regulatory responses miss deadlines, and enquiries from customers and auditors pile into backlogs that cost more to clear every month. The data is there. The problem is access.

Find answers fast

Google-like search on common business fields, such as UETR, IBAN, reference, counterparty, amount, and supporting metadata, which locates financial messages, transaction events and/or transactions in seconds. Any team member can open a transaction and see its current state and key lifecycle events immediately, and understand system behavior across the payment immediately, without raising a ticket.

One view across all rails

Messages from different payment rails and different systems are ingested, normalised, and correlated into one consistent view. This is data observability applied to payments: every transaction, across every system, from the moment it enters your infrastructure to its full history years later, held in a single searchable data lake rather than scattered exports.

Share evidence and spot trends

Export results to Excel, CSV, or PDF, or retrieve via API for downstream systems and audit trails. Aggregated metrics on volume, value, and error rates over time — sliced by currency, country, counterparty, and rail — surface patterns your teams can act on without building custom reports.

"With the solutions, we have all the relevant transaction data in one source."

Daniel Besse
Chief Information Officer, Clearstream

FAQs​

Is this an observability tool for payments?

Yes. Vyntra brings transaction observability to payment operations. Instead of monitoring servers, it makes every message, transaction flow, and lifecycle event searchable and correlated.

Messages are captured through consistent instrumentation and telemetry as they pass through each rail, then run through normalisation data pipelines before indexing. The result is one clean, queryable record.

The platform is built to ingest all standard payment formats (ISO 20022, Swift MT and legacy rail formats).

No. Vyntra is deployed on the customers’ own infrastructure either on-premises (like VMs) or cloud. It supports the SLAs, audit trails, and system reliability standards that regulated financial institutions require. Historic transaction data is held in a unified data lake searchable across 10+ years.

GET IN TOUCH

Stop waiting on IT.
Start finding answers.

See how Transaction Search & Analytics gives every team one unified view across every rail and format — with a decade of history available in seconds, and no IT queue standing between your teams and the answers they need.

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