| What it does | AI proposal generator that turns client notes into polished proposals, scope of work, and pricing tables
| 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 | Not given
| US
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| Pricing model | Freemium
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| Pricing | Free plan: 3 lifetime AI proposal generations and free proposal critique. Pro plan: $29/month internationally or ₹999/month in India, includes draft, critique, fix, and close workflow with up to 100 AI proposal generations per month, custom templates, rate cards, and branded PDF exports.
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| Key features | - AI-generated proposals from call notes and transcriptions
- Proposal critique with Close-Ready Framework feedback
- 10 starter templates for common project types
- Custom templates and rate cards
- Editable proposal sections with regeneration
- Branded PDF export and private web link sharing
- Five-point proposal critique with 39 detection rules
- Up to 100 AI generations per month on Pro plan
| - 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 | - Editorial logic over generic LLM, acting as high-end ghostwriter with business rules
- Reflects your delivery model and pricing structure, not generic prompts
- Complete data ownership with no use for model training
- Opinionated templates written by someone who has shipped the work
- One clear pricing plan with no per-seat costs or confusing upgrade ladder
| - 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 |
| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 39 ● no change since last check |
| Trust Flow (Majestic) | 3 | 7 |
| Citation Flow (Majestic) | 17 | 23 |
| Referring domains (Majestic) | 8 | 84 |