Luzmo's AI features, including chart/dashboard agents and Luzmo IQ, are not trained on customer datasets. Luzmo logs
conversations for the duration of our regular log retention window to help in issue investigations or to identify areas
where the service accuracy needs to be improved.
Luzmo uses OpenAI's API for AI features, with data residency matching the Luzmo multitenant cloud or dedicated cloud residency. OpenAI does not use prompts or responses to train models. Luzmo has a zero data retention agreement with OpenAI: OpenAI does not store any data from Luzmo's usage of their API.
What the model receives depends on the feature. Lookups and queries run in Luzmo's query engine, under the viewer's
access control, outside the model.
Metadata only: column and dataset descriptions, metadata suggestions, and formula generation. The model
sees names, types and descriptions. No cell values and no query results.
Category values: chart generation and dashboard creation. The model receives a sample of distinct values
from category columns, and further lookups when a filter needs an exact value. Those values can include personal data.
It does not receive measure results or the chart's query output.
Query results: AI summaries, Luzmo IQ, and Luzmo IQ agentic APIs and MCP. The model receives the query
result, which may include personal data. Results are aggregated unless the chart or question is a row listing. Category
values may also be looked up, or embedded, to match a filter or a classification.