| What it does | Optimize AI Agents for Quality, Latency & Cost
| Physics-based AI that optimizes complex industrial systems in real time
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Developer (Free): 1 agent, up to 1,000 traces/month. Business ($500/month): up to 3 agents, 50,000 traces/month. Enterprise (Custom): unlimited agents with PII redaction, SLA guarantees, and dedicated support.
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| Key features | - Automatic trace and agent detection
- Analysis across agent traces and code
- Ranked improvements for quality, latency, and cost
- Interactive LLM Judge
- Slack alerts and pull requests for approved fixes
- Live observability across every agent
- Automatic use case grouping
- PII scrubbing for sensitive data
- Multi-model SDK support
| - 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 | - Ranked fixes by impact instead of one-trace-at-a-time analysis
- Works alongside existing observability tools without replacement
- Evidence-backed recommendations tied to real outcomes
- Compounds improvements over time as more traces arrive
| - 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) | 7 ● no change 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) | 29 | 30 |
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| Referring domains (Majestic) | 47 | 141 |
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Papaya
Geminus