We set up our AI Data Analyst on your data
We take your existing data, whether that's research, survey data, CRM records, or behavioural logs, and make it explorable through the same AI Data Analyst we built for our own Gen Alpha dataset.
Your team asks questions in plain English and gets analytical responses with charts, narrative, and sample sizes. The AI Data Analyst maintains context across your session and suggests where to look next.
The setup works with structured data in any format. We handle ingestion, schema mapping, and configuration. Your team starts asking questions.
Ingest
We take your data
Configure
Map schema to AI
Ask
Your team explores
0
queries executed
0
findings surfaced
Research complete. Report generated.
Thousands of queries. Hours, not months.
Deep Research runs autonomously, executing thousands of queries per hour across every combination of dimensions your data supports. It maps the full question space, then explores systematically, going deeper with each pass.
We ran a shallow pass across one wave of our Gen Alpha trends data. Deep Research surfaced hundreds of unique findings and produced a designed slide deck. The findings 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.
Deep Research is coming soon.
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 explores your data does not check its own work. A separate validation agent reviews every finding: re-runs the query, validates data references against the schema, and verifies the numbers support the conclusion.
If anything fails, the validation agent sends structured feedback. The research agent revises and resubmits. They iterate until both agents agree the finding is correct.
Independent verification
Research Agent finds the data. Validation Agent checks every finding. They iterate until both agree.
See it working, or talk to our team
Try the AI Data Analyst on our Gen Alpha dataset, or talk to our team about setting it up on yours. Every dataset is different. We'll walk through how it maps.