| What it does | An AI agent for cloud infrastructure teams
| Physics-based AI that optimizes complex industrial systems in real time
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| Stage | Startup
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
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| Key features | - Detects performance regressions and incidents
- Correlates telemetry, code, CI/CD, and cloud signals
- Drafts root cause analyses, runbooks, and actionable fixes
- Slack integration
- Production signal monitoring
| - 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
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| What makes it different | - Acts on production signals to ship products faster and more reliably
- Solves DevOps complexity legacy observability tools couldn't solve
- Makes infrastructure invisible and proactive
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 15 ▲ +1 (up) since last check | 30 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 18 |
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| Citation Flow (Majestic) | 22 | 30 |
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| Referring domains (Majestic) | 103 | 141 |
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Vratix
Geminus