Bruno is the AI execution layer built into the Inferyx platform. Ask a question in plain language. Bruno navigates the platform, runs the work, and returns the result.
Most AI tools hand the work back. They suggest, surface, and summarize, then wait for a human to act. Bruno is built differently. It takes a natural language request, moves through the platform, and closes the loop itself.
Bruno operates natively across Data Catalog, Data Engineering, and Data Analytics. No separate integration, no prompt engineering, no specialist required. It shares the same metadata, lineage, and governance foundation as the rest of the platform, so everything it does is traceable, auditable, and governed by the same role-based permissions as every other action on Inferyx.
Bruno follows the full data lifecycle, across every layer of the platform.
Data Catalog
Bruno recommends and creates glossary terms, domains, assets, data products, and classifications. It reads the actual state of the catalog before generating any suggestion, so outputs reflect what exists, not a generic template. Assets Bruno creates stay unpublished until a data steward approves them. The steward's role shifts from building to reviewing.
Data Engineering
Bruno configures ingestion, maps fields, generates quality rules, sets up reconciliation, builds and executes pipelines, troubleshoots failures, and schedules batch jobs. All from a single natural language request.
Data Analytics
Bruno generates queries from plain language descriptions, executes them against the selected data source, and returns the result. For dashboards, it suggests fields, chart types, and layout. For knowledge graphs, it generates and executes graph queries directly. Dashboard creation compresses from hours to minutes.
Bruno does not operate as a black box. Every action it takes runs on the Inferyx shared metadata, lineage, and governance layer. Role-based permissions govern what Bruno can see, create, and execute on behalf of each user. Automated workflows include built-in approval gates. Bruno accelerates the process. It does not bypass it.
The Inferyx platform structures the full data lifecycle into four movements. Bruno operates across all of them.
Discover
Bruno identifies trusted, governed data across the catalog before any pipeline is built or query is run. It knows what exists, where it lives, and whether it can be relied upon.
Prepare
Bruno moves into the engineering layer, builds pipelines, maps fields, and applies quality checks without manual configuration at each step.
Analyze
Bruno generates insights through the analytics layer. Dashboards, alerts, and reports from natural language inputs, not from an engineering queue.
Act
Bruno delivers recommendations tied directly to the data behind them. The gap between question and answer closes.
Cloud, hybrid, and on-premise. AWS, Azure, Google Cloud. Bruno adapts to existing infrastructure and coordinates multi-step workflows autonomously across platform layers, handling handoffs without manual intervention.
Bruno is live inside Inferyx, across every module, ready to work.
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