End-to-end data automation

Reliable data pipelines for regulated teams

Bragi lets data and engineering teams ingest, model, and orchestrate business-critical data pipelines with full lineage and auditability for downstream analytics and AI.

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Trusted for regulated and high‑stakes data:








  • Know your data with full traceability

    Track every data field from source to destination. See where your data comes from and how it’s transformed.

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  • Deploy updates securely in seperate environments

    Develop, package, and deploy changes across environments and roll back as needed.

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  • Orchestrate end-to-end processes

    Automate and optimise workflows with scheduling, error handling, notifications, parallel processing, and job dependencies.

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"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 Explore News & Resources

How Bragi fits into your data architecture

Step 1

Ingest & profile

Ingest from flat files, JSON, XML, web services, databases, or any other source. Bragi automatically detects structure, data types, and prepares your environment for loading.

  • Review automated field analyses to spot anomalies and mismatches without digging into raw data.

  • Detect field types and relationships with automated inference of data types.

  • Tag and annotate fields with metadata to improve the quality of automatic documentation.

  • Load once or schedule regular imports from the same source.

Learn more about data load

Step 2

Model & enrich

Model your data using SQL, code modules, or API integrations. Define relationships, build transformations, and connect to external logic within one pipeline. Bragi tracks every dependency and logs every change, keeping infosec and auditors happy.

  • Write in SQL or extend with C#, REST calls, or interface with GenAI to perform complex transformations or enhance with supplementary data.

  • Use visual relationship maps and field-level lineage to understand how models connect.

  • Build in Dev, review and QA in Test before deploying to Production - Bragi optimises lifecycle management.

  • Revert deployed changes with one click.

Learn more about data models

Step 3

Orchestrate workflows

Automate your pipeline from loading to exporting, with automated dependency management.

  • Ensure the integrity of your data when things don’t go to plan with fault-tolerant try/fail behaviour.

Learn more about data automation

Neil Pailing

"The parcel sorter project has been a huge strategic initiative for us and working with Cortex and Bragi has really helped us deliver change rapidly."

Neil Pailing

Step 4

Deliver & share

Export to local files, cloud storage, databases, email or connect directly to enterprise systems and APIs using one of the supported connectors or integrate it yourself using C#.

  • Create and share formatted reports in Excel, PDF or CSV.

  • Schedule exports to cloud platforms like Azure Blob Storage, SharePoint, Google Drive, Trello, Dropbox and many more.

  • Send datasets straight to analytics platforms or CRM tools.

  • Synchronise data into databases like SQL Server or Snowflake for immediate use.

Learn more about data integration

Bragi helps you better understand your data

Unify your data, model it for insights, and stay organised.

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Watch Bragi in action with a personalised demo

Speak directly to Bragi’s co-founders and explore how Bragi can transform your data workflows.

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