Aurora Coach
Aurora Coach is a continuous improvement platform for software engineering organizations. The AI gathers context from team feedback and delivery data, scores teams across six domains of effectiveness, and proposes concrete next steps that teams refine and commit to, with follow-up verification each period. The platform works alongside existing tools like Parabol and LinearB, and offers free MCP server access so Claude and ChatGPT can consult it as a coach.
- Artificial Intelligence
- Enterprise Software
- AI Agents
- Developer Tools
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Software teams often struggle to turn retrospective insights and delivery metrics into sustained, measurable improvements. Improvement efforts tend to be episodic, fragmented across separate tools, and dependent on expensive external coaching, leaving gaps between what teams sense and what they actually change.
Solution
Aurora Coach provides a continuous improvement platform where each team runs its own improvement loop every period. The AI gathers context from team feedback and delivery data, analyzes performance across six domains of team effectiveness, and proposes concrete next steps. The team reviews, refines, and commits to changes, and the next period's analysis shows whether those changes held. Humans always make the final decisions, while the AI handles the analysis and recommendation workload. The platform works alongside existing retro tools, metrics dashboards, and coaches, using their signal as input rather than replacing them.
Target Audience
Primary customers are software engineering organizations and their teams, including engineering leaders and agile coaches who want to institutionalize continuous improvement without relying on episodic external coaching.
Features
- AI-driven analysis across six domains of team effectiveness, combining human factors and delivery metrics
- Continuous improvement loop: sense, analyze, recommend, refine, commit, execute, and re-evaluate each period
- MCP server integration that lets Claude and ChatGPT consult Aurora Coach as a coach, not just a database
- Free use-case tools covering AI-era problems like comprehension debt, squad health checks, and psychological safety
- Team-owned commitments with follow-up verification in subsequent periods, including under delivery pressure
- Works alongside existing tools like Parabol, Jellyfish, LinearB, and Swarmia, using their signal as input
- Interactive individual health check and SWOT analysis with every team member, feeding agentic analysis workflows
- GitHub repository data and DORA signals synthesized into the analysis alongside team context
- Flat-rate pricing per team member with no usage credits or metering; managers and admins free