CUSTOMERS
Trusted for regulated and high-stakes data
Bragi is used by teams operating in regulated, operationally critical environments where data needs to be correct, explainable, and auditable.
Our customers use Bragi to modernise legacy systems, meet regulatory reporting requirements, and build data platforms that teams can safely rely on.
Near real-time parcel tracking for a national logistics operation
Bragi supported Guernsey Post in delivering near real-time visibility into parcel processing as part of a major parcel sorter initiative.
“The parcel sorter project has been a huge strategic initiative for us and working with Cortex has really helped us deliver. Automating the process means that we don’t have postal workers having to manually receipt scan items on their handheld, which greatly simplifies their tasks before heading out for deliveries.
It ultimately means we can process more parcels which is so important at peak times. It’s great to work with a trusted and experienced local team, using software that was built here in Guernsey.”
Neil Pailing, Head of IT at Guernsey Post
-> Read the media release
Case studies
MORTGAGE APPLICATIONS REPORTING
Operational reporting at scale
A financial services team rebuilt their mortgage reporting workflows to support twice-daily updates without full recomputation.
Using Bragi, they modelled application lifecycles as reusable datasets, applied incremental execution patterns, and maintained full auditability as application data changed over time.
→ Read case study: Improving mortgage applications reporting
CRS & FATCA TAX REPORTING
Regulatory reporting with full lineage
A regulated institution consolidated fragmented client and account data across multiple systems to produce accurate CRS and FATCA reports.
Bragi provided field-level lineage from source to submission, automated validation, and a shared data model trusted by both compliance and engineering teams.
LEGACY DATA MIGRATION
Controlled migration with built-in reconciliation
During a migration from a legacy platform to a cloud data stack, Bragi was used to reconcile datasets end-to-end.
Each migration cycle was validated automatically, with discrepancies surfaced as explicit exceptions rather than hidden in spreadsheets making migration repeatable, auditable, and significantly lower risk.
See Bragi in action
Ready to see how Bragi fits your use case?
Speak directly to Bragi’s co-founders, not a sales agent, and explore how Bragi can transform your data workflows.