Getting Started with Slateo

Slateo helps teams explore and analyze data using AI-powered SQL capabilities. This guide gets you from "new workspace" to "working in Slateo" quickly, with paths tailored to your role.

Get a quick overview

Start here if you want to understand Slateo's core capabilities before diving into setup.

What is Slateo?

Slateo is an AI-powered data exploration platform that helps teams:

Query data naturally: Use natural language to generate SQL queries
Explore your data model: Navigate tables, relationships, and schemas intelligently
Collaborate on insights: Share queries, reports, and dashboards with your team
Integrate with your stack: Connect to data warehouses, Slack, Notion, and more

Core features

AI Agent

Ask questions in natural language and get SQL queries generated automatically. The agent understands your schema and suggests relevant queries.

Query Editor

Write and execute SQL queries with intelligent autocomplete, syntax highlighting, and instant results visualization.

Data Models

Explore your data warehouse schema, understand table relationships, and discover datasets through an intuitive interface.

Reports & Dashboards

Create shareable reports and dashboards from your queries. Schedule updates and collaborate with your team.

Choose your path

Select the guide that matches your role and goals:

For Admins

If you're setting up Slateo for your organization, start with the admin guide. You'll learn how to:

Connect your data warehouse
Configure workspace settings
Invite and manage team members
Set up integrations with Slack, GitHub, and other tools

Admin Setup Guide

For Developers

If you're integrating Slateo into your application or workflow, check out our API documentation:

API Quickstart

Key concepts

Before diving in, familiarize yourself with these core concepts:

Queries

Queries are the atomic unit in Slateo. They represent a SQL statement that retrieves data from your warehouse. Queries can be:

Created manually in the query editor
Generated by the AI agent from natural language
Saved and shared with your team
Scheduled to run automatically

Learn about Queries

Query References

Query references are saved, reusable queries that can be referenced by name. They act as building blocks for more complex analyses and can be:

Parameterized with variables
Versioned for reproducibility
Used in other queries via the ref() function

Learn about Query References

Data Models

Data models represent your data warehouse schema. Slateo automatically discovers:

Tables and views
Column types and constraints
Foreign key relationships
Common join patterns

Reports

Reports combine queries with visualizations and narrative text. They can be:

Shared with specific team members or made public
Scheduled to refresh on a cadence
Exported as PDFs or embedded in other tools

Next steps

Start with Admin Setup Or jump to API Quickstart

Need help?

Documentation: Browse our full documentation for detailed guides
API Reference: Check the API documentation for programmatic access
Integrations: Learn about Slack, Notion, and other integrations
Support: Contact your workspace admin or reach out to support@slateo.ai