๐ค AI Chat Analytics
Ask questions in simple language and get answers in seconds. The AI chat feels natural and keeps the conversation context, so follow-up questions are much easier. It is great for fast insights, quick reporting, and reducing the usual back-and-forth between business and data teams.
๐ Interactive Dashboards
The dashboard system is flexible and easy to use. Teams can create custom charts, apply filters, drill into metrics, and explore live business data without feeling lost. It makes tracking company performance much smoother and honestly more enjoyable than many traditional BI tools.
๐ง Semantic Layer
One of the smartest features is the semantic model. It helps keep metrics and business logic consistent across the company. This means teams are less likely to get conflicting numbers from different reports. It also improves the quality and reliability of AI-generated answers.
๐งฉ Built-In SQL & Spreadsheets
The platform combines SQL tools and spreadsheet-style workflows in one place. Analysts can write advanced queries while non-technical users can still work with familiar formulas and tables. This setup makes collaboration easier and removes the need for constantly switching between separate tools.
๐ Wide Data Integrations
Connecting existing data sources is surprisingly simple. It supports platforms like Snowflake, BigQuery, Databricks, Postgres, and more. Businesses can start analyzing data quickly without rebuilding their entire workflow. That saves time and helps teams get value from the platform much faster.
๐ Embedded AI Analytics
Companies can embed analytics directly into their own products using APIs, SSO, and integrations. This is very useful for SaaS and product teams that want to offer reporting features to customers without spending months building everything from scratch.
