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Your data analyst.
In Slack.

Ask questions in plain English. Get accurate answers from your data warehouse. Powered by a semantic layer that grounds every answer in your defined metrics.

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@askdata what was our revenue last quarter?
Ask-Data.Chat
Q4 2025 revenue was $2.4M, up 23% from Q3. Here's the breakdown:

October: $780K
November: $820K
December: $800K

Top revenue sources: Enterprise contracts (68%), Self-serve (32%)

Analytics that actually works for your team

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Ask like a human

Type questions the way you'd ask a colleague. The system understands what you mean and translates it to proper queries.

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Reliable answers

Every answer is backed by your semantic layer. No hallucinations, no made-up numbers.

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Grounded in reality

Built on your semantic layer with standardized metrics. The bot can't make up numbers because it only knows what you've defined.

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Remembers context

Ask follow-up questions and drill deeper. Each conversation builds on what came before.

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Share insights instantly

Post answers directly in channels. When someone asks a question, everyone benefits.

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Plugs into your stack

Works with Cube, dbt, Snowflake, BigQuery, Redshift. If you have a data warehouse, we can connect to it.

How it works

1

Connect your warehouse

Point us to Snowflake, BigQuery, Redshift, or Postgres. Takes about five minutes.

2

Define your metrics

Write SQL for the metrics that matter. Revenue, churn, active users. We convert it into a semantic layer that the bot understands.

3

Install to Slack

One click to add the bot. Choose which team members get access.

4

Start asking

@mention @askdata in any channel or DM. Get accurate answers backed by your semantic layer.

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We're onboarding new customers every week.

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