Code & SQL
Describe a task in plain English, get help generating SQL and explore explanations of legacy code.
AI FOR DATA AND CODE
Work With Data and Code More Naturally.
Not every employee works comfortably in SQL, and legacy code can take time to understand. Fluid AI helps users express data questions in natural language, work with SQL and explore interactive visualisations.
DATA EXPLORER
Illustrative UI · not a live product screen01/ 04
Describe a data question...
Illustrative visual · not customer data
WORKSPACE PREVIEW
PRODUCT DEMOS
Explore AI for SQL, Visualisation and Code
Interactive Visualisation
Choose a dashboard type or describe a view, then filter and explore spreadsheet data in the browser.
THE PROBLEM
Getting From Data to Understanding Takes Work
SQL has a learning curve
Users may know what they need to ask but not the syntax needed to query data.
Legacy code is difficult to navigate
Existing code can require additional effort to understand.
Data needs context
Tables and spreadsheets become more useful when people can explore relevant visualisations.
HOW IT WORKS
From a Plain-Language Request to an Explorable Result
Describe the task
Explain the query or information you need.
Generate or understand code
Use the SQL or code assistance workflow.
Explore data visually
Where supported, turn spreadsheet data into an interactive dashboard.
Check the result
Validate queries, data, calculations and interpretations before relying on them.
CAPABILITIES
Explore SQL, Data and Legacy Code
Natural-language SQL assistance
Describe a data task in plain English and get help generating SQL.
Legacy-code explanation
Ask for help understanding existing code.
Interactive visualisation
Create and explore browser-based dashboards from spreadsheet data.
Dashboard choices
The visualisation demo describes seven dashboard types or a view described by the user.
Deployment considerations
The Code & SQL material describes on-premise deployment; see existing deployment options.
ILLUSTRATIVE WORKFLOW
Ask a Data Question Without Starting With SQL Syntax
Illustrative examples: An analyst describes a data task in plain language, reviews the generated query as a starting point and validates it against the underlying data. Separately, a team can turn spreadsheet data into an interactive visualisation.
HUMAN REVIEW
Validate Queries and Results
Generated SQL is a starting point. Check the query, calculations and results against the underlying data before relying on them.
FAQ
Frequently Asked Questions
Answers about ai sql, data analysis & legacy code.