Unlock data insights without SQL complexity for your engineering teams
AI-powered data analysis that connects to BigQuery, GitHub metrics, and analytics tools through natural language.
Backed by the best
Data bottlenecks slow your engineering velocity
Your product teams need customer usage metrics from BigQuery to prioritize features, but only two senior engineers know SQL well enough to write complex queries. Marketing wants user funnel analysis from Google Analytics, but your data team is backlogged for three weeks. Engineering managers request GitHub commit patterns and code review metrics to optimize team performance, but building custom dashboards requires dedicated backend work that competes with product roadmap priorities.
- Product decisions delayed waiting for SQL-savvy engineers to extract user metrics
- Marketing requests queue up because analysts are overwhelmed with complex data pulls
- Engineering managers lack visibility into team performance and code quality trends
- Custom dashboard development competes with core product work for engineering resources
Transform natural language questions into actionable data insights across your entire tech stack
- Product teams get user behavior analysis from BigQuery through conversational queries, no SQL required
- Marketing managers extract funnel metrics and conversion data from Google Analytics using plain English
- Engineering leads access GitHub commit patterns, review cycles, and team velocity metrics instantly
- Custom reports auto-generate and deliver to Slack channels with scheduled updates and trend analysis
How it works
- 01
Connect data sources
Authenticate BigQuery, Google Analytics, GitHub, and other tools through guided setup workflows.
- 02
Ask in plain English
Request analysis like 'Show me user retention by feature usage last quarter' or 'Compare team velocity across sprints'.
- 03
Get insights and automations
Receive formatted reports, charts, and set up recurring analysis that delivers to your team channels.
What Brainvolt brings to your workflow
Contextual Data Intelligence
Connects BigQuery tables, GitHub repositories, Google Analytics properties, and team documentation simultaneously. Answers complex questions by correlating data across multiple sources with proper context about your specific business metrics and engineering practices.
Natural Language Queries
Transform conversational requests into sophisticated SQL queries, API calls, and data transformations. Your team describes what they need in plain English and receives formatted analysis with charts, tables, and actionable insights.
Automated Reporting Workflows
Schedule recurring analysis that runs automatically and delivers results to Slack channels or email. Set up weekly performance reviews, monthly user growth reports, or sprint retrospective data that updates your team without manual intervention.
Code-Level Execution
Generates and runs Python scripts for advanced analysis, data cleaning, and visualization within conversations. Creates custom charts, performs statistical analysis, and builds exportable reports that integrate directly into your existing workflow tools.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.