CTO investor updates that write themselves
AI pulls from GitHub, analytics, and team data to generate comprehensive technical reports automatically
Backed by the best
Investor updates drain technical leadership time
You're spending entire weekends pulling metrics from GitHub, Google Analytics, and BigQuery to craft investor reports. Each month brings the same ritual: extracting deployment frequencies, calculating team velocity, analyzing infrastructure costs, and translating technical progress into business language. Meanwhile, engineering deadlines pile up as you manually compile data that should flow automatically.
- Manually extracting GitHub deployment data and team velocity metrics monthly
- Switching between BigQuery, analytics tools, and spreadsheets to build reports
- Translating technical achievements into investor-friendly business language
- Missing critical updates because data lives in disconnected engineering tools
AI generates comprehensive investor updates from connected technical data
- Auto-generate monthly reports pulling live data from GitHub, analytics, and infrastructure tools
- Transform technical metrics into investor narratives with risk assessments and progress summaries
- Schedule recurring updates that compile team performance, deployment stats, and business impact
- Create reusable report templates that evolve with your communication needs over time
How it works
- 01
Connect data sources
Link GitHub, BigQuery, Google Analytics, and team tools through guided authentication flows
- 02
Configure report structure
Define metrics, narratives, and investor communication preferences through natural conversation
- 03
Automate delivery
AI generates comprehensive updates monthly, pulling live data and highlighting key technical achievements
What Brainvolt brings to your workflow
Intelligence That Compounds
AI remembers your communication patterns, investor priorities, and metric preferences. Each report improves as the system learns which technical details matter most to your specific investor audience and board requirements.
Contextual Data Integration
Pulls from GitHub repositories, BigQuery analytics, Google Analytics, team calendars, and infrastructure monitoring in single responses. Correlates technical metrics with business outcomes using real-time data and historical context.
Automated Report Generation
Scheduled monthly or quarterly reports that compile deployment frequencies, team velocity, technical debt, security posture, and infrastructure costs. Transforms raw engineering data into investor-ready narratives automatically.
Code And Script Execution
Runs custom analysis scripts, queries databases, and generates dashboards during conversations. Creates API integrations on-demand to pull metrics from specialized engineering tools and monitoring platforms.
Frequently asked questions
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