Ask Questions in Plain English and Get Structured Answers

The platform accepts natural language queries and translates them into data analysis operations. This removes the need for SQL or Python knowledge, allowing business users to explore data independently. The AI interprets context and intent, delivering relevant results.

Business outcome: Non-technical team members can perform their own data analysis, reducing dependency on specialized data teams.

Auto-Generated Charts and Graphs from Any Query

When a user asks a question, the platform automatically generates appropriate visualizations — bar charts, line graphs, scatter plots — to illustrate the answer. This eliminates manual chart creation and ensures insights are communicated visually.

Business outcome: Faster communication of data insights across teams, improving decision-making speed.

Connect to Google Sheets, BigQuery, and CSV Files

Google Antigravity supports direct connections to Google Sheets, Google BigQuery, and standard CSV uploads. This makes it easy to pull in existing business data without complex ETL processes. Data refreshes are handled automatically.

Business outcome: Teams can analyze live business data without manual data migration or custom integrations.

Share Analysis Results with Team Members Instantly

Users can share their analysis dashboards and queries with team members via a link. Permissions can be set to view-only or edit, enabling collaborative data exploration. This supports a data-driven culture across departments.

Business outcome: Improved cross-functional alignment as all team members work from the same data insights.

Export Results to PDF, CSV, or Google Sheets

All analysis results and visualizations can be exported in multiple formats for inclusion in reports, presentations, or further processing. This ensures that insights can be integrated into existing workflows.

Business outcome: Seamless integration of AI-generated insights into existing reporting and presentation processes.

Full Query History for Reproducibility and Audit Trails

Every query and its result is saved in the user's history, allowing for easy revisiting of past analyses. This supports reproducibility and provides an audit trail for compliance purposes.

Business outcome: Ensures data analysis is transparent and reproducible, meeting internal governance requirements.

• Zero cost for full functionalityThe tool is completely free, making it accessible to businesses of any size without budget constraints.
• Exceptional ease of useThe natural language interface is intuitive, requiring no training or technical background to start using effectively.
• Strong Google ecosystem integrationDirect connections to Google Sheets and BigQuery make it seamless for teams already using Google Workspace.
• Fast insight generationQueries are processed in seconds, enabling rapid iteration and exploration during meetings or brainstorming sessions.

• Limited to cloud data sourcesThe tool only works with data that can be uploaded or connected via Google services — no on-premise database support.
• No advanced statistical modelingFor complex regression analysis, machine learning, or custom statistical tests, dedicated tools like R or Python are still required.
• Data privacy considerationsUploading sensitive or proprietary data to Google's cloud may not be suitable for all organizations due to compliance requirements.
• Professional RealityGoogle Antigravity is a powerful entry-level analysis tool, but it cannot replace dedicated business intelligence platforms for enterprise-grade reporting and governance.

Marketing campaign performance analysis

Marketing teams can upload campaign data and ask questions like 'Which channel drove the highest ROI last quarter?' to quickly identify top performers and optimize spend. This use case benefits from the tool's natural language interface and fast visualization generation.

Product usage trend identification

Product managers can analyze user engagement data from BigQuery to spot feature adoption trends. Questions like 'How has daily active user growth changed month-over-month?' are answered instantly with charts.

Sales pipeline forecasting

Sales teams can connect their CRM data via CSV and ask 'What is the expected revenue from deals in the negotiation stage?' to get real-time pipeline visibility without manual spreadsheet work.

Academic literature review synthesis

Researchers can upload datasets from their studies and ask comparative questions to identify patterns. The tool accelerates the hypothesis testing phase by providing immediate statistical summaries.

Visit antigravity.google and sign in with your Google account — no payment or credit card required.

Upload a CSV file or connect your Google Sheet or BigQuery dataset to the platform.

Type a question in natural language, such as 'Show me total sales by region for the last quarter'.

Review the auto-generated visualization and export the result to PDF or CSV for your report.