Turn data analysis into reusable knowledge for teams
AI workspace where SQL queries, Python scripts, and insights become sharable tools
Backed by the best
Analysis gets lost in scattered files
Your SQL query that fixed last quarter's revenue discrepancy is buried in a Google Drive folder. The Python script you wrote to clean customer data exists only on your laptop. When teammates ask about churn analysis methodology, you dig through old Excel files and Jupyter notebooks. Critical insights disappear after projects end, forcing you to solve the same problems repeatedly.
- SQL queries scattered across Google Drive folders and local files
- Python scripts lost when teammates need similar analysis approaches
- Methodology explanations rewritten for every stakeholder request
- Data cleaning steps repeated because process wasn't documented
Build a knowledge base that grows smarter
- SQL queries and Python scripts become searchable, reusable tools for your entire team
- Analysis methodology automatically documented with source citations and context
- Data insights connected across BigQuery, Google Analytics, and CSV files in one response
- Automated reports run on schedule while building institutional knowledge over time
How it works
- 01
Connect data sources
Link BigQuery, Google Analytics, CSV files, and other data sources through guided authentication
- 02
Analyze with AI
Ask questions, run SQL queries, execute Python scripts while AI documents methodology
- 03
Build reusable tools
Analysis approaches become searchable tools teammates can discover and adapt for their projects
What Brainvolt brings to your workflow
Contextual Data Intelligence
AI draws from BigQuery tables, Google Analytics reports, CSV files, and real-time web search in single responses. Every analysis includes source citations, so teammates understand where insights originate and can verify methodology.
Knowledge That Compounds
SQL queries, Python scripts, and analysis approaches become reusable tools. Problems solved once turn into searchable knowledge base entries. Your methodology explanations accumulate, making future analysis requests faster to fulfill.
Code Execution Workspace
Run Python scripts and SQL queries directly in conversations. Test data transformations, validate analysis, and debug code without switching between multiple tools. Results feed back into your growing knowledge base.
Automated Analysis Workflows
Schedule recurring reports that pull from multiple data sources. Weekly cohort analysis, monthly revenue breakdowns, and quarterly trend reports run automatically. Each execution adds to your team's analytical knowledge.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.