| What it does | Physics-based AI that optimizes complex industrial systems in real time
| Find retiring AI model IDs in your code before the shutdown date
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| IN
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Free: All public repositories and first 3 private repositories. Pro: $29 per month or $290 per year per GitHub account, includes every private repository, scans on every push, and pull request checks.
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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
| - Scans code repositories for retiring AI model identifiers
- Reports file path, line number and shutdown date for each match
- Person-verified rules checked against provider notices
- Scans Python, TypeScript, JavaScript, Go, Java, Ruby, PHP, C#
- Uses literal strings and patterns, never sends code to AI
- Covers Anthropic, OpenAI, Bedrock, Vertex, Azure, Stripe, Twilio
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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
| - Finds exact file and line numbers where retiring models are used, not just which models are retiring
- Verifies every rule against provider's official notice before shipping
- Free for all public repos and first 3 private repos
- Never modifies code, has read-only access to repositories
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| Community votes | 1 | 0 |
| DR (Domain Rating by Ahrefs) | 29 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 18 | 0 |
| Citation Flow (Majestic) | 30 | 0 |
| Referring domains (Majestic) | 141 | 0 |