| What it does | AI workflows for public finance desks
| AI trained on firsthand experiences
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| Stage | Startup
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| Founded | 2025
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| Based in | US
| US
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - RFP and RFQ automation
- Issuer intelligence and records
- Private single-tenant deployment
- Integrates with existing systems
- Human approval at every decision point
- Forward-deployed support model
| - Continuous content validation at AI speed
- MCP integration with AI tools like Claude, ChatGPT, Copilot, Gemini
- Real buyer interview database for validation
- Citation-backed output with real buyer data
- Slack integration for buyer intelligence questions
- Impact measurement and reporting
- Unlimited research without per-project fees
- Works within existing tools without new interfaces
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| What makes it different | - Designed exclusively for public finance desks, not horizontal platforms
- Customized to desk-specific workflows and approval standards
- Data never pooled or used to train models
- No system replacement or migration required
- Banker-engineer pairs stay through deployment
| - Enriches existing AI tools with real buyer interview data instead of requiring a new platform
- Validates content continuously at AI speed rather than as a quarterly research exercise
- Every answer is backed by real buyer data with citations, not AI guesses
- Unlimited research without caps or per-project fees
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 42 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 10 | 9 |
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| Citation Flow (Majestic) | 23 | 32 |
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| Referring domains (Majestic) | 25 | 169 |
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