| What it does | AI governance software that goes beyond good intentions
| Physics-based AI that optimizes complex industrial systems in real time
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| Stage | Established
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| Founded | 2019
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| Based in | US
| 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 | - Drift and bias monitoring
- Continuous model monitoring and validation
- Integration with MLOps and GRC systems
| - 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 | - Recognized by Forrester as a Strong Performer and Customer Favorite in AI governance
- Transforms AI governance from a barrier into a business enabler for innovation
- Team of deep domain experts in machine learning, assurance, corporate innovation, and software development
| - 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) | 49 ● no change since last check | 30 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 18 |
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| Citation Flow (Majestic) | 39 | 30 |
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| Referring domains (Majestic) | 559 | 141 |
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Monitaur
Geminus