Answer questions from your data.
Connect to your data sources and let AI agents analyze them to answer questions and provide insights.
The cost of the question queue
Most analytics teams spend more time answering repeat questions than doing the analysis only they can do.
Frontal answers the repeat questions from your governed models, and leaves the hard ones to your analysts with the context already assembled.
- Of ad hoc questions answered without an analyst
- 80%
- Faster turnaround on routine requests
- 9x
- From question to reviewed answer
- 1d
What keeps an answer trustworthy
- Governed models
- Answers read from your semantic layer rather than from raw tables, so a metric means the same thing everywhere it appears.
- Row level security
- Access follows the policies already defined in your warehouse. An agent can never return data its requester cannot see.
- Query cost
- Set limits per workspace. Expensive queries are estimated before they run and stopped when they exceed the budget.
- Provenance
- Every answer cites the model, the query, and the run that produced it, so a number can always be checked.
How an answer gets made
FIG 1.1
Ask in plain language
Questions arrive where people already work and resolve against the same definitions your dashboards use.
FIG 1.2
See the query
Every answer shows the query it ran, so an analyst can verify it, correct it, or promote it.
FIG 1.3
Promote what works
A good one off answer becomes a governed metric, so the next person asking gets the reviewed version.
Questions from analytics teams
What analysts ask before a warehouse is connected.
Put your data within reach
Connect a warehouse and ask your first question.