| What it does | Engineering Solana's core protocol and infrastructure
| AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Open source
| Contact for pricing
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| Pricing | Not given
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| Key features | - Agave validator client for Solana
- Alpenglow consensus protocol
- Wincode bincode serializer for Rust
- Pinocchio framework for Solana programs
- P-Token implementation
- Codama code generator
- Solana Kit SDK JavaScript SDK
| - Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
- Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
- Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
- Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
- Small focused AI models in deterministic graph: reduces errors and cost vs single large models
- Fully auditable and explainable execution
- Durable execution engine with checkpoints and automated recovery
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| What makes it different | - Majority validator client built by engineers closest to the protocol
- New consensus protocol for faster finality
- Open-source infrastructure shipping multiple tools
| - Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
- Partners keep control of brand and customer relationships while using platform for execution
- Usage-based pricing aligns fees with completed outcomes rather than features
- Small focused AI models designed for accuracy and repeatability in high-trust workflows
- Includes mapping stage to validate commercial viability before significant investment
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 73 ● no change since last check | 12 ● no change since last check |
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| Trust Flow (Majestic) | 16 | 8 |
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| Citation Flow (Majestic) | 44 | 29 |
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| Referring domains (Majestic) | 1467 | 64 |
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Anza
Aguru