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webFrame

The execution layer for high-performance sovereign AI

Optimize and accelerate model execution across every device you own—without cloud dependency.

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webFrame is the intelligent execution engine behind model performance on the webAI Platform. It optimizes inference for supported models and hardware configurations, simplifying complex tasks like quantization and batching. The result is faster, more efficient AI that operates entirely within your infrastructure.

Adaptive Optimization

Automatically tunes models for each device's compute profile to maximize throughput and minimize latency.

End-to-End Efficiency

Proprietary quantization and batching improve model throughput and enable seamless distribution across devices.

Hardware Flexibility

Runs seamlessly across consumer-grade Macs and enterprise clusters without reconfiguration.

Local Execution

Keeps all inference and training inside your environment—no external dependencies or data exposure.

Accuracy Preserved

Maintains up to 99.5% accuracy while reducing model size for edge and on-device deployment.

Inside webFrame the intelligent optimization stack that makes private AI performant at scale.

Inside webFrame the intelligent optimization stack that makes private AI performant at scale.

Popover window showing device requirements for "Meta Llama 3.1 8G" with memory usage at 4.2/32GB, set to run on "My Computer." Background is blurred.

Detects device capabilities at runtime and adapts execution strategy automatically.

Orchestrate Sovereign AI at any scale.

Let's build the future together.

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