Ask. See. Understand.

Drop a CSV, connect a database, or point Aether at a spreadsheet. Then ask: "What's driving the churn spike in Q3?" or "Show me revenue by region, last 12 months." Aether inspects the schema, writes the right query, runs it, and presents the result — as a chart, a table, or a plain-language summary, depending on what the answer calls for.

You don't need to know SQL, Python, or any query language. You just need to know what you're curious about.

/data
Signups by Day (last 30d)
💡 Signup drop correlates with 4-hour API outage (Oct 15, 2:00–6:00 PM PST)

Follow the Thread

Follow-up naturally. "Break that down by acquisition channel." "Now exclude organic." "Compare to the same period last year." Each question builds on the last. Aether holds the full analytical context so you don't re-explain your dataset with every question.

Multiple formats. The same finding rendered as a line chart, a pivot table, or a paragraph — you choose, or Aether picks the format that communicates the insight most clearly.

Exportable. Every visualization and query is exportable as PNG, CSV, or embeddable code. Drag it into a presentation tile or share it directly.

Query Depth
1. Why did signups drop?
2. Break down by channel
3. Exclude organic
4. Compare to last year
4 follow-up queries · Full context retained

Built For

Founders who need answers from their data without hiring an analyst. Marketing teams measuring campaign performance without waiting for a dashboard build. Operations leads tracking KPIs across messy spreadsheets. Engineers debugging production metrics. Anyone who's ever stared at a spreadsheet knowing the answer is in there somewhere.

CSV
PostgreSQL
Sheets
.xlsx