VP Engineering workspace that connects all your tools
AI that learns from every conversation and builds custom integrations on demand
Backed by the best
Engineering teams drowning in disconnected tools
Your engineers jump between GitHub for code reviews, Slack for standups, BigQuery for performance metrics, and Jira for sprint planning. Critical insights are buried across systems. When production issues hit, you're manually correlating logs, metrics, and deployment data. Your team spends more time context-switching between tools than actually solving problems.
- Production incidents require manual data gathering from five different dashboards
- Sprint retrospectives lack automated insights from GitHub and deployment metrics
- Performance reviews need manual compilation of commits, reviews, and velocity data
- Capacity planning requires spreadsheet gymnastics across multiple data sources
Turn disconnected tools into intelligent engineering operations
- Connect GitHub, Slack, BigQuery, and custom tools into one AI conversation interface
- Build automated incident reports that pull logs, metrics, and deployment data automatically
- Generate sprint insights and capacity forecasts from real engineering data sources
- Create custom dashboards and scripts through conversation, no DevOps tickets required
How it works
- 01
Connect your stack
Link GitHub, Slack, BigQuery, and custom tools through guided authentication. AI learns your engineering workflows.
- 02
Ask across systems
Request insights that span multiple tools. AI pulls data from all connected sources in one response.
- 03
Automate and scale
Turn working solutions into scheduled tasks. Build custom integrations and dashboards through conversation.
What Brainvolt brings to your workflow
On-Demand Tool Integration
Connect any engineering tool through conversation. Pre-built integrations for GitHub, Slack, BigQuery, and Google Analytics. Create custom connections to internal APIs and specialized tools your team uses daily.
Contextual Engineering Intelligence
AI draws from connected repositories, deployment logs, performance metrics, and team conversations. Get insights that span your entire engineering stack with source citations and real-time data.
Code Execution Environment
Run Python scripts, build database queries, and generate reports directly in conversations. Create monitoring dashboards, analyze performance trends, and automate routine engineering tasks without leaving the chat.
Shared Engineering Channels
Team-wide AI conversations where engineering insights compound. Multiple engineers can contribute to the same analysis thread. Solutions become reusable tools for the entire engineering organization.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.