| What it does | AI workflows for public finance desks
| Independent technology stock research and daily classifications
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| Stage | Startup
| Not given
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| Founded | 2025
| Not given
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| Based in | US
| GB
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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
| - Four fixed-weight inputs with no manual overrides
- Five-band classification scale from Strong Positive to Strong Negative
- Daily classification updates for covered tickers
- Simulated portfolio backtests against S&P 500
- Sector-specific classification models
- Transparent model change log
- Public data sources only
- Historical performance data and watchlist management
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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
| - Completely rule-based with no analyst discretion or manual overrides applied
- Full performance transparency including underperforming models alongside outperformers
- Mechanically executed simulated trading without subjective interpretation
- Fixed-weight inputs established in advance with public notifications of any changes
- Curated universe of technology equities organized by focused sectors
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 0 |
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| Citation Flow (Majestic) | 23 | 0 |
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| Referring domains (Majestic) | 25 | 0 |
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Starch
CyronTek Research