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RunAnywhere

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The default way of running On-Device AI at Scale

Edge AI is inevitable, but shipping it is painful: every device class behaves differently, runtimes vary, models are huge, and performance collapses under memory/power constraints. RunAnywhere turns that into an enterprise-ready workflow: one SDK to run models on-device, plus a control plane to manage models, enforce policies, and measure outcomes across thousands of devices.

Tags

AIAI InfrastructureAPIB2BComputer VisionDeveloper ToolsEdge ComputeEnterprise SoftwareIoTSaaS

Investors

Y Combinatoraccelerator

accelerator · 2026

Source
RunAnywhere — The default way of running On-Device AI at Scale | Questd