| What it does | Physics-based AI that optimizes complex industrial systems in real time
| Know exactly where every AI dollar goes
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| PY
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Free: $0/month (1 developer, 1 project, 7-day event history). Starter: $10/month (3 developers, 2 projects, 30-day event history). Team: $50/month (10 developers, 5 projects, 90-day event history). Business: $100/month (100 developers, 100 projects, 180-day event history).
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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
| - Track spending by project, developer, model and provider
- Privacy-preserving SDK that never collects prompts or responses
- Fail-open design ensures AI calls work even if Tokmetry API is down
- Support for OpenAI, Anthropic and Google Gemini
- Cost calculator to estimate spending on different models
- No latency added to AI calls
- Historical cost tracking with versioned pricing
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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 for privacy with only metadata collection, never storing prompts or API keys
- Fail-open architecture ensures your AI application keeps running even if the service goes down
- One-line integration with no proxy or gateway required
- Unified view across multiple AI providers with normalized costs
- Waste detection and cost comparison between models
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| Community votes | 1 | 0 |
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| DR (Domain Rating by Ahrefs) | 29 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 18 | 0 |
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| Citation Flow (Majestic) | 30 | 22 |
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| Referring domains (Majestic) | 141 | 2 |
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Geminus
Tokmetry