KYC / AML investigation
Turn fragmented customer records into a reviewable investigation.
Try the interactive demoFor teams connecting business systems, analytics, and AI: build the workflow, resolve the exceptions, and keep the source evidence with every handoff.
Running in production on Genedata
Try a banking workflow with synthetic data. Change a rule, inspect an exception, and follow the handoff to the next team.
Each record remains identifiable from intake through the review queue.
| Record | Currency | Ledger amount | Settlement amount |
|---|---|---|---|
| T-301 | CAD | 1250 | 1250 CAD |
| T-302 | CAD | 780 | 779.5 CAD |
| T-303 | USD | 2200 | 2200 CAD |
| T-304 | CAD | 640 | Missing |
Amounts use the currency shown on each record.
A human reviewer owns the final decision. This workflow does not approve credit, close an investigation, or post an adjustment.
Turn fragmented customer records into a reviewable investigation.
Try the interactive demoBuild a complete application package before the credit review.
Try the interactive demoMatch the routine transactions. Investigate the exceptions.
Try the interactive demoInteractive demos use synthetic data and run in your browser.








Your teams should share context, not reconcile disconnected tools. Bring the work together, from engineering and analytics to AI and governance.
Connect sources and orchestrate pipelines. Keep every transformation connected to its origin.
Connect & buildGround models and agents in your business context, with clear permissions and human oversight.
Reason & actGive datasets, definitions, and relationships a shared home that every team can understand.
Discover & understandTurn trusted metrics into analysis, dashboards, and briefings that guide your next move.
Analyze & decideConnect policy, access, and evidence to the data workflows they protect.
Govern & protectFollow pipeline health, resource usage, and operational context from one control plane.
Observe & improveA pipeline feeds an analysis. An analysis informs an agent. An action creates evidence. Genedata keeps the context between them.
Bring existing systems and business data into the workflow.
Keep definitions, permissions, and lineage alongside the data.
Deliver reporting and AI workflows with review and evidence.
Start with a real business problem. Connect the data, knowledge, and workflows your people need to solve it.
Practical workflows, efficiency guidance, and learning paths for the people who make data useful.
Work through sample records and see how decisions stay connected to their evidence.
Download synthetic data, rules, and a review checklist for a focused pilot.
Understand connection methods, supported operations, and setup constraints.
Bring security, architecture, privacy, and procurement into the conversation early.
Define success criteria and estimate value using your own assumptions.
Follow a practical learning path with a clear output and review checkpoints.
Bring your data challenge. Explore the platform with the people who build it, and find the right place to begin.