| What it does | Make your AI agents self-healing
| Kubernetes operator for self-hosted LLM inference
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| Stage | Growing
| Growing
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| free
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| Pricing | Not given
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| Key features | - OpenTelemetry compatible SDKs
- Automatic dataset generation from production traces
- Human annotations and inline feedback
- Advanced semantic search and filtering
- Failure mode clustering and issue grouping
- Slack and webhook alerts
- Conversation intelligence analysis
- MCP server integration
| - Pluggable runtime backends for vLLM, TGI, llama.cpp, and custom containers
- HPA autoscaling based on real inference metrics
- GPU layer offloading with custom sharding splits
- Automatic model download and persistent caching
- Prometheus and Grafana dashboards for inference metrics
- CUDA 13 with NVIDIA Blackwell GPU support
- Multi-GPU tensor parallelism and layer sharding
- Foreman agentic coding with GitHub integration
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| What makes it different | - Automatic issue discovery and failure grouping without manual triage
- Direct agent dispatch for automated fixes with PR generation
- Self-healing agents that fix themselves in production
| - 20x cheaper than cloud with self-hosted inference on consumer GPUs
- Kubernetes-native CRDs for Model and InferenceService, not wrappers around Kubernetes
- One operator supports seven pluggable runtime backends with no code changes
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 60 ● no change since last check | 20 ● no change since last check |
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| Trust Flow (Majestic) | 28 | 18 |
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| Citation Flow (Majestic) | 44 | 26 |
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| Referring domains (Majestic) | 1176 | 165 |
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