| What it does | Ship real products with no coding. An AI crew plans, builds, reviews, and ships.
| Testing and improvement for GenAI systems, before deployment and in production
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| Stage | Not given
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| Founded | Not given
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| Based in | CA
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| Pricing model | Freemium
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| Pricing | Free: $0/month (2 trial projects, 6 trial builds, 3 trial deployments). Go: $9.90/month (up to 10 projects, 10 hours/month live running time, 1 custom domain). Starter: $19/month (up to 20 projects, 20 hours/month live running time, 2 custom domains, 2 team seats). Pro: $39/month (up to 40 projects,
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| Key features | - Multi-agent crew (planners, builders, reviewers, shippers)
- Intent Engine for converting ideas to actionable plans
- Code committed to user's GitHub repository from day one
- Review before ship workflow
- Custom domain deployment with no watermark
- Built-in authentication and payments
- Full-stack integrations (database, auth, storage, email, Stripe)
- Support for multiple programming languages and frameworks
- Auto-deployment and auto-scaling
- Continuous iteration at flat build cost
| - Automated evaluations with off-the-shelf benchmarks and LLM as Judges
- Product strategy and cross-department PM modules
- Automated alerts for deviations in product behavior
- LLM as Users for simulating diverse user personas
- AI portfolio governance and oversight
- User feedback automation and expert annotation
- Metrics comparison with historical data and leaderboards
- Customizable metrics for different knowledge levels and evolving needs
- Integration with existing workflows for cross-departmental teams
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| What makes it different | - Ships production apps, not just prototypes
- Code quality maintained through continuous iteration
- Complete code ownership with no lock-in
- Professional review and deployment workflow
- Full production capabilities vs prototype tools
| - Measures real-world impact to prove business and user value before deployment
- Metrics become shared language across product, engineering and risk teams
- Reduces reliance on data scientists by automating AI product management
- Makes impact of AI predictable through testing and forecasting
- Ensures AI aligns with actual user needs through feedback and explainability
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ● no change since last check | 39 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 7 |
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| Citation Flow (Majestic) | 26 | 23 |
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| Referring domains (Majestic) | 75 | 84 |
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Ideavibes AI
Impact AI