Operationalise your Collibra Data Intelligence.
xflow turns what Collibra already knows into living context for reports, data products, semantic layers, and AI. Collibra remains the trusted system of record for enterprise meaning. xflow makes that meaning executable at runtime.
xflow makes it operational.
Collibra gives banks and insurers the governed reference layer: what data means, who owns it, where it comes from, and how it should be used. xflow extends that foundation into the systems where context now needs to operate: regulatory reporting, data products, semantic layers, and AI agents.
From discoverable to executable
Collibra makes enterprise data discoverable. xflow turns what is curated for understanding into context that data products, reports, and AI can execute against directly.
From governed metadata to runtime context
xflow consumes Collibra's governed metadata, validates it against the use case, and enriches it with operational detail so humans, machines, and AI work from the same meaning.
From audit reconstruction to evidence by design
Every output can carry its definitions, lineage, rules, policies, approvals, and context version with it, so evidence is produced as the work happens.
The executable digital twin platform for governed data.
xflow does not replace Collibra. It takes Collibra's trusted reference layer into the workloads where governed context must be used, tested, and evidenced.
Data products, context-enabled
Design and validate data products in xflow, then publish governed context back to Collibra. Each product carries business logic, policy constraints, and lineage as machine-readable context for downstream consumers.
Regulatory reports as digital twins
Create a live, executable model of a regulatory return, risk process, or finance workflow. Query any cell, trace its lineage, explain movement, and generate evidence from the same governed source.
AI agents grounded in governed context
Embed Collibra-governed calculations, rules, ownership, and lineage into AI architecture so outputs are grounded in context-specific rules and traceable back to source.
Semantic layer for Snowflake and Databricks
Generate executable semantic models from Collibra-governed metadata for Snowflake Cortex Analyst, Databricks Unity Catalog, and Databricks Genie, with lineage and ownership preserved.
AI changes the assumption behind governance.
People can interpret meaning, exceptions, and policy. AI executes only against the context it is given. In regulated financial services, BCBS 239, Solvency II, IFRS 17, FINREP, COREP, SR 11-7, and the EU AI Act all increase the need for traceable, governed context at runtime.
Your governed meaning is already there.
Collibra gives the enterprise a trusted system of record for definitions, owners, policies, stewardship, lineage, data products, and governed metadata. xflow builds on that foundation and carries it into the places where work is executed.
Turn catalogue meaning into runtime context
xflow takes Collibra-governed metadata and makes it usable inside reports, data products, semantic layers, and AI workflows.
Ship data products with context attached
Each data product can carry permitted use, business rules, transformations, lineage, ownership, and evidence from day one.
Give AI the enterprise context it needs
AI systems receive bounded context from governed sources, including approved definitions, rules, lineage, policy constraints, and calculation logic.
Create proof as work happens
Outputs carry the context version, lineage path, rules applied, approvals, exceptions, and Collibra records that shaped the result.
API-first activation of governed metadata.
xflow reads Collibra business glossary, data products, domains, lineage, policies, ownership, and stewardship metadata through Collibra APIs. It uses that governed metadata to produce executable context, evidence packs, validation outcomes, and usage signals that can be written back to Collibra.
Collibra remains the system of record
xflow consumes governed metadata from Collibra. It does not replace Collibra's catalogue, stewardship, policy, or lineage foundations.
Context runs where work happens
Reports, data products, semantic layers, and AI agents receive governed meaning in the form they can use at runtime.
Governance teams see downstream use
Execution results, evidence packs, validation outcomes, and usage signals can be made visible to data governance teams through the Collibra ecosystem.
Activate your Collibra investment for AI.
Start with a single regulatory reporting domain, risk aggregation flow, or high-value data product. Prove that Collibra-governed metadata can become executable context, with evidence produced as a byproduct of execution.