| What it does | Physics-based AI that optimizes complex industrial systems in real time
| Offline checker for AI agent role declarations without executing agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| JP
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Not given
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| Key features | - Physics-native optimization grounded in system physics
- Multi-fidelity data fusion with real-time feeds
- Guard railed autonomy with rigorous framework
- Decision-making under uncertainty with calibrated confidence measures
- Systems of surrogates for industrial-scale complex systems
- Auditable workflows with complete chain of evidence
- Cloud-native with on-premises support
- REST API and OPC UA integration
- SOC 2 Type II certified security
- Deploys in weeks across entire operations
| - Checks role and authority consistency
- Validates reviewer-implementer separation
- Verifies role references exist
- Checks filesystem write scope boundaries
- Runs completely offline without network access
- Three command modes: validate, explain, and handoff
- Clear exit codes for pass/fail/error states
- MIT open source license
- Bundled starter fixtures and examples
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| What makes it different | - Deploys in weeks, not years or months
- Physics-grounded reasoning beyond historical data patterns
- Measurable outcomes from day one with $100M+ proven results
- Uncertainty-aware recommendations operators can trust
- Operates on mission-critical systems trusted by world's largest energy companies
| - Designed through public feedback dialogue with incorporated role and path mapping improvements
- Bundles working examples that run without API keys or accounts
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| Community votes | 1 | 0 |
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| DR (Domain Rating by Ahrefs) | 30 ● no change since last check | 13 ● no change since last check |
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| Trust Flow (Majestic) | 18 | 9 |
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| Citation Flow (Majestic) | 30 | 29 |
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| Referring domains (Majestic) | 141 | 51 |
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Geminus
Agent Role Contracts