Give your frontend the intelligence to detect true WebGPU and VRAM capabilities in real-time. Execute AI locally when the hardware allows it, and safely route to the cloud when it doesn't.

The "Cloud vs. Local AI" debate is a trap. Treating "The Edge" as if it is one uniform environment is a fundamental architectural flaw.
Right now, you are forced into a terrible compromise.
The AI Readiness (AIR) index changes how neural workloads are executed. Our lightweight 10KB script measures the physical limits of the user's silicon, VRAM, and parallel processing capacity in milliseconds. It exposes a simple, deterministic score (AIR 1 to 4) directly to your frontend before any heavy model is loaded.
You finally have the intelligence to build Adaptive AI: run models natively on the edge for zero cost, while safely routing unsupported devices to your cloud APIs.
Give your AI engineering team the script they need to build hardware-aware routing instantly. Just catch the AIR tier and adapt the execution.
Stop forcing models onto unsupported hardware, and stop paying cloud fees for users with neural-class devices.
The sd-metrics.js script injects a missing layer of hardware context into your current stack, turning standard web analytics into hardware-aware datasets. By exposing BDP and AIR as native dimensions, your engineering team can instantly feed high-value business intelligence to the entire organization. Product managers, data analysts, and executive teams finally get a clear matrix to cross-reference conversion funnels, user retention, and marketing efficiency with actual computing power.






DIAGNOSE
Deploy our passive 10KB script for 7 days. We deliver a board-ready executive report proving exactly what percentage of your traffic is capable of running local AI, and calculate the exact API costs you could save by routing them.
ACT
Move straight from audit to active infrastructure optimization. By embedding our lightweight execution script into your production application, your system gains the real-time intelligence to orchestrate neural workloads dynamically. Instead of burning your cloud budget on every single prompt, your platform automatically runs heavy AI models locally on high-end user devices ($0 cloud cost) and reserves expensive Cloud APIs only for devices that strictly need it.
AUTOMATE
For advanced teams. Stop writing manual fallback logic. Our compiler dynamically analyzes the user's silicon and automatically splits AI execution between the client's WebGPU and your server based on real-time capacity.
Early access by invitation only.
Stop optimizing in the dark. Choose how you want to bring hardware intelligence into your AI architecture.