One place to look,
across every rail.
One normalized 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.
faster response times for payment queries
Compared to manual cross-system investigation
effort reduction for complex investigations
of transaction data searchable in one place
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 inquiries 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
One view across all rails
Messages from different payment rails and different systems are ingested, normalized, 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.
How it works
"With the solutions, we have all the relevant transaction data in one source."
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.
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.
How is the transaction data collected across systems?
Messages are captured through consistent instrumentation and telemetry as they pass through each rail, then run through normalization data pipelines before indexing. The result is one clean, queryable record.
What standard formats are supported?
The platform is built to ingest all standard payment formats (ISO 20022, Swift MT and legacy rail formats).
Is Vyntra a SaaS product?
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.
