AI project management that learns from every engineering decision
VP Engineering workspace where technical knowledge compounds and project intelligence scales across teams.
Backed by the best
Engineering project management scattered across tools
Your engineering teams juggle Slack threads about incidents, GitHub issues tracking features, Jira tickets for bugs, and Google Sheets for capacity planning. When a critical API fails at 2am, context lives in someone's head who's on vacation. Sprint retrospectives identify the same blockers repeatedly because insights don't persist between quarters. New team members take months to understand tribal knowledge about deployment gotchas, vendor limitations, and architectural decisions.
- Same technical problems resurface because solutions aren't captured systematically
- Project context scattered across Slack, GitHub, Jira, and spreadsheets
- New engineers onboard slowly due to undocumented tribal knowledge
- Incident response delayed when key context lives in unavailable teammate's memory
Engineering intelligence that accumulates and scales
- Convert engineering conversations into reusable tools that solve recurring technical problems automatically
- Generate project reports by pulling live data from GitHub, Jira, and Slack in one response
- Build deployment dashboards and capacity models through conversation, not manual spreadsheet work
- Create automated workflows that notify teams, update tickets, and sync project status across tools
How it works
- 01
Connect engineering tools
Authenticate with GitHub, Slack, Jira and other systems your teams use daily.
- 02
Build through conversation
Describe what you need and AI creates scripts, reports, dashboards using live data.
- 03
Scale solutions automatically
Working solutions become reusable tools for recurring engineering problems across teams.
What Brainvolt brings to your workflow
Compounding Technical Intelligence
AI accumulates engineering knowledge from every troubleshooting session, architectural decision, and project retrospective. Solutions developed for one team become reusable tools for similar problems across the organization, creating institutional memory that scales.
Connected Engineering Context
Pull real-time data from GitHub commits, Jira velocity, Slack incidents, and deployment logs in one response with source citations. AI understands different contexts for different projects and teams automatically.
Collaborative Project Intelligence
Shared AI channels where engineering teams can collaborate on complex problems together. Multiple architects can contribute to the same technical analysis thread, with all thinking and solutions visible to the team.
Engineering Execution Automation
Build deployment scripts, generate incident reports, create capacity dashboards, and set up monitoring alerts through conversation. Connect to any engineering tool with an API to create custom workflows that ship immediately.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.