USE CASE
Deploy AI into your pipelines securely, scalably, and with full context
Bragi gives you the tools to prepare, enrich, and govern AI-ready data. Whether you’re calling an LLM, scoring records, or deploying your own model, Bragi keeps every step versioned, auditable, and production-ready.

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DATA VALIDATION & PREPARATION
Ensure every dataset is ready for AI use and integration
AI doesn’t start with models. It starts with trustworthy data. Bragi helps you consolidate, validate, and prepare your data with a focus on quality, observability, and reusability, making every dataset ready for downstream AI use and pipeline integration.
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Ingest data from any system.
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Automatically validate inputs with built-in quality checks..
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Apply transformations, enrichments, and versioning in a single pipeline.

AUDITABLE & TRACEABLE
Embed models with built-in lineage
AI capabilities shouldn’t come at the cost of auditability. Embed LLMs or custom models in your pipelines without losing track of versions, lineage, or access control.
Use AI for real, production-grade tasks like:
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Classifying free-text fields.
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Enriching data with summarisation or tagging.
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Scoring records with business-specific models.
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Performing fuzzy joins and data matching.
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Flagging anomalies or exceptions.
Every model output is traceable, testable, and integrated into your platform.

FULL EXTENSIBILITY
Integrate your own model logic with Bragi’s custom code functionality
Use your own trained model in Bragi. Bragi’s code component allows you to call external services or embed your own model logic in a governed, repeatable way.
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Reference compiled model code or external APIs.
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Pass Bragi’s pipeline context (IDs, metadata, data snapshots).
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Record input/output for monitoring and compliance.
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Version and promote models across environments safely.

See Bragi in action
Integrate AI without compromising on governance or control
Speak directly to Bragi’s co-founders, not a sales agent, and explore how Bragi can transform your AI data workflows.