Data and insights, powered by AIAI
11 years of Gen Alpha tracking data. Your own datasets. Roblox consumer intelligence. All explorable through our AI Data Analyst.
Ask a question. Get an answer.
You type a question in plain English. The response arrives with multiple charts chosen for the data, a narrative tying the findings together with sample sizes always shown, and two follow-up suggestions pointing you deeper. The suggestions are contextual, cross-referencing across studies and topics, driven by what the dataset actually supports.
When relevant, the analyst surfaces verbatim responses from kids and parents in the survey. Filters scope your analysis by country, age range, time period, or study. Export any chart as CSV or PDF. The analyst maintains full context across turns, so turn 15 remembers the framing from turn 1.
Let AI ask thousands of questions
Ask a question and get an answer. Or let Deep Research ask thousands of its own. It runs autonomously, maps the full question space across a dataset, then dispatches thousands of queries per hour across every combination of dimensions the data supports. What would take a human analyst a month, Deep Research does in hours.
The output is a designed slide deck. The example here is from a single wave of our Gen Alpha trends data. This was a shallow pass across one dataset. Deep Research can go much further.
The findings in that report existed in the data before we ran the tool. Nobody had asked the questions because the economics of manual analysis meant most of the question space never gets explored. Deep Research explores all of it.
Report generated by Deep Research
1,059 queries across one wave of Trends data, completed in 2 hours
Research Agent
Explores the dataset, builds the query, produces a finding with charts and narrative.
Validation Agent
Re-runs the query, checks data references against the schema, verifies the numbers support the conclusion. Sends structured feedback if anything fails.
Checked by a second AI before it reaches you
The AI that finds the data does not check its own work. A separate validation agent reviews every finding independently.
The validation agent re-runs the query, checks every data reference against the schema, and verifies the numbers support the conclusion. If anything fails, it sends structured feedback. The research agent revises and resubmits. They go back and forth until both agents agree the finding is correct.
The AI that produces the finding is never the AI that checks it.
Independent verification
Research Agent finds the data. Validation Agent checks every finding. They iterate until both agree.
What data do you want to explore?
See it working
Try the AI Data Analyst on a live slice of our Gen Alpha dataset. One wave of data, US and UK, covering platform awareness, content consumption, and parental attitudes. Ask anything.