AI Data Analyst

Ask your data anything

Upload your spreadsheet, ask questions in plain English, and get instant answers complete with charts and explanations—no SQL or waiting required.

what were the best performing products

Best-performing products ranked by net revenue:

Quick insight: Business leads revenue at $40.3k, while Starter is unprofitable despite high volume — consider pricing review.

See how the analyst thinks

Transparent views of prompts, filters, and reasoning steps.

Web Research

Live research for effective results.

Analyze competitor market positioning
Sourcessearching...
Q3 Earnings Reportsec.gov
Industry Analysis 2024mckinsey.com
Market Forecastbloomberg.com
Competitor Benchmarksstatista.com

Suggested prompts

Ready-made questions to explore faster.

Suggested prompts
Break down churn by segment
Compare regions over time
What's driving the spike?

Python insights

Transparent logic alongside results.

Python
1corr = df['price'].corr(df['sales'])
2print(f"r = {corr:.2f}")
Result
Price and sales show a strong negative correlation (r = -0.73). Lower prices consistently drive higher volume.

Trusted Logic

Watch the AI plan, analyze, and explain its reasoning in real-time so you can verify the results.

See It In Action
Product Launch Metrics
Q4 2024
User Growth
Monthly active users & sessions
Launch Target
Q4 adoption goal
AI Insights
What's driving the user growth spike in May?

The +34% spike in May correlates with your Product Hunt launch on May 12th.

Sessions grew 2.1x faster than users, indicating high engagement.

Ask about this data...

Deep Exploration

Drill down into your dashboard by asking follow-up questions, requesting new breakdowns, or investigating anomalies instantly.

See It In Action

Revenue by Segment

Monthly breakdown · YTD 2024

Live
SELECT
  DATE_TRUNC('month', created_at),
  segment,
  SUM(revenue) AS total
FROM sales_transactions
GROUP BY 1, 2
ORDER BY 1;

Your data, finally accessible

Unlock the answers hidden in your spreadsheets without waiting for the analytics team.

AI data analyst showing chart response to natural language question
01

Ask in plain English

No SQL or special syntax needed. Ask questions just like you'd ask a colleague: 'Which customers churned last month?'

02

Get charts, not just numbers

Every response includes the right visualization automatically—bar charts for comparisons, line charts for trends, and tables for details.

03

Keep the conversation going

Ask follow-ups naturally. Say 'break that down by segment' and watch the analysis evolve instantly.

Analysis that adapts to you

Smart Visualizations

AI automatically selects the best format: bar charts, line graphs, or data tables.

Multi-Step Reasoning

Complex questions are broken into logical steps to synthesize accurate answers.

Written Explanations

Get context on what the numbers mean, what stands out, and what to explore next.

Save to Dashboards

Found an insight? Save any chart to a live dashboard with one click.

Smart Context

The AI reads your specific data structure to plan the right approach and explain exactly what it found.

See It In Action
show me revenue trends vs last year

Here's your monthly revenue comparison for 2024 vs 2023:

YoY Growth

+36.5%

Best Month

June

Avg Growth

+$5.2k

Quick insight: Revenue accelerated in Q2, with June showing the strongest YoY delta (+$19k). Growth rate increased from 20% in Jan to 36% in June — momentum is building.

Example questions

Ask anything about your data

"What were our top products last quarter vs last year?"

AI runs the comparison, builds the chart, and highlights growth.

"Which customer segments have the highest churn?"

AI calculates churn by group and surfaces risk patterns.

"Break down expenses and flag growth over 20%."

AI categorizes spending and calls out line items needing attention.

"What's our average fulfillment time by warehouse?"

AI ranks locations and identifies where delays originate.

"Compare conversion rates across channels."

AI builds a multi-channel comparison with trend analysis.

"What's our attrition rate by department?"

AI segments by department to show where turnover is concentrated.

Frequently asked questions

01

What kind of questions can I ask?

Ask for comparisons, trends, rankings, or anomalies. 'What were our top products?' or 'Why did revenue drop?' work perfectly.

Are there limits on complexity?

Complex questions are fine—the AI breaks them down automatically and asks for clarification if needed.

02

How does AI choose the charts?

AI analyzes your data to pick the best fit: comparisons get bar charts, trends get lines, and detailed breakdowns get tables.

Can I request a different visualization?

You can always override this by asking: 'Show that as a line chart' or 'Give me a table instead.'

03

What data formats work?

Upload CSV, Excel, or Parquet files to start immediately. Columns and data types are detected automatically.

Can I connect to my database?

For live database connections, check out our dashboard product for warehouse integrations.

04

How accurate are the answers?

The AI shows its work (queries and logic) so you can verify the answer. Accuracy is very high on clear data.

Does it make mistakes?

If a question is ambiguous, it will ask you for clarification rather than guessing.

05

Can I ask follow-up questions?

Yes. Say 'break that down by region' or 'exclude refunds' and the AI applies that context to your previous result.

Does it remember context?

This allows you to start broad and drill down naturally based on what you find.

06

Can I save the charts?

Yes, save any chart to a dashboard with one click to share with teammates or export for presentations.

How do I share with my team?

The underlying query is saved, so your charts refresh automatically when data updates.

Get answers in seconds, not days