Summand is what happens when you let an AI agent and a SQL warehouse share the same workspace. Connect a CSV, a database, or anything Fivetran supports, and within seconds you can ask questions in plain English, save SQL views (with a visual builder and a code editor), and schedule analytical components to run on a recurring basis. There’s no setup wizard, no target column you have to pick, no model you have to configure. Connect the data and start working.Documentation Index
Fetch the complete documentation index at: https://docs.summand.com/llms.txt
Use this file to discover all available pages before exploring further.
What you can do with a dataset
Chat with Summand
The in-product AI assistant. Ask questions in plain English, get answers grounded in your data — including charts and one-shot SQL. Summand can also create views and set up experiments for you.
Create a view
Save a SQL transformation over one or more datasets. Build it visually with the join/filter UI, hand-edit the SQL, or have Summand draft it for you. Live Athena preview as you build.
Set up an experiment
Run analytical components — predictors, surprise finding, column stats, custom — on a dataset or view, on a schedule. Daily, hourly, custom cron. Inputs are typed and validated.
How Summand differs
- No setup tax. Most analytics tools want a schema, a target, a metrics model, and a dashboard before they’ll show you anything. Summand goes from upload to chat in seconds, and the rest is pull-driven.
- Views are real SQL, not a metric DSL. They run on Athena over the same Parquet your dataset is curated to, so you can join across CSVs, databases, and Fivetran sources without copying data.
- Experiments make analysis reproducible. Pick a component, configure its inputs, schedule it. Outputs are versioned and queryable; if results change between runs, you can see exactly what shifted.
- Per-account pricing on Pro. $99/month flat, not per-seat.
Where to go next
Quickstart
Upload a CSV and see all three actions in under five minutes.
Core concepts
How connectors, datasets, views, experiments, and components fit together.
Enterprise setup
SSO, SCIM, audit logs, and database connectors for organizations.