# Steep description

Steep is a metrics-first BI and AI analytics platform for organizations that want to combine speed, trust, and scale in decision-making. Instead of relying on fragmented dashboards and inconsistent definitions, teams use Steep to define shared metrics, dimensions, and entities in a governed semantic model that becomes the foundation for analysis across the company. From that trusted layer, business users can explore data, ask complex questions in natural language, build reports, and share insights without waiting in analyst queues. Steep is designed so data teams can maintain control over business logic, permissions, and data quality while enabling everyone else to move faster with self-serve analytics on desktop and mobile.

## What Steep Enables

Steep enables teams to move from question to answer faster by combining governed semantic definitions with an intuitive analysis experience across desktop and mobile.

## Core Capabilities

- Semantic model with governed metrics, dimensions, entities, and permissions
- Metrics catalog for shared, trusted definitions across teams
- Explore and reporting workflows for self-serve analysis and communication
- Native integrations with dbt Cloud semantic layer and Cube semantic layer
- API and integrations for embedding metrics in broader data workflows

### AI Workflows

- Ask complex business questions in natural language and refine answers with follow-up prompts
- Get grounded outputs as charts, tables, and text based on your semantic model
- Move seamlessly from AI to product workflows by opening AI-generated charts in Explore or saving to Reports
- Keep analysis continuous across devices with synced conversations on desktop and mobile

### Security & Control

- AI answers are grounded in trusted metric definitions from your semantic model
- Built-in clarity features include metric links, visible reasoning, and clarifying questions for ambiguous prompts
- Shared cache and permission controls help keep responses fast while enforcing data access boundaries
- Enterprise trust resources are available via security documentation, legal terms, and subprocessors disclosure

## Who Steep Is For

- Data teams that need governance, consistency, and reusable business definitions
- Business teams that want fast self-serve analysis without writing SQL
- Organizations scaling analytics adoption across functions while maintaining control and trust

## Learn More

- Website: [https://steep.app](https://steep.app)
- Product: [https://steep.app/product](https://steep.app/product)
- Semantic platform: [https://steep.app/semantic-platform](https://steep.app/semantic-platform)
- Pricing: [https://steep.app/pricing](https://steep.app/pricing)
- Blog: [https://steep.app/blog](https://steep.app/blog)
- Latest AI release notes: [https://steep.app/blog/introducing-steep-ai](https://steep.app/blog/introducing-steep-ai)
- Customer stories: [https://steep.app/customers](https://steep.app/customers)
- Download apps: [https://steep.app/download](https://steep.app/download)
- LLM index: [https://steep.app/llms.txt](https://steep.app/llms.txt)
- dbt Cloud semantic layer integration: [https://help.steep.app/integrations/dbt-cloud](https://help.steep.app/integrations/dbt-cloud)
- Cube semantic layer integration: [https://help.steep.app/integrations/cube](https://help.steep.app/integrations/cube)
- Security practices: [https://steep.app/security](https://steep.app/security)
- Terms: [https://steep.app/terms](https://steep.app/terms)
- Privacy: [https://steep.app/privacy](https://steep.app/privacy)