ScaleDynamics makes the web runtime AI-Aware in the first 14ms of page load. By calculating the AI On-Device Readiness (AIR) index, your application can instantly decide whether to run models locally on the client or fall back to the cloud —maximizing responsiveness, privacy, and margins across every device tier.
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Shipping browser-based AI features blindly is a massive financial and technical risk. If you force a low-end device to download and run a local LLM, the browser crashes and the battery drains instantly. But if you route every single user interaction to cloud servers (like AWS or OpenAI APIs), your compute bills scale linearly with your user growth, destroying your gross margins.
The AI Readiness (AIR) index changes how neural workloads are executed. Our lightweight 10KB script 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.
Add our lightweight loader tag to your HTML <head> or deploy it via Google Tag Manager to asynchronously get the AIR in 14ms.
AIR Tiers 3 & 4
When ScaleDynamics detects flagship client-side hardware equipped with dedicated neural engines or high-end graphics layers, your application shifts into Edge Mode.
Execute token generation, vector embeddings, image processing, and transcription directly on the user’s device. You scale your AI features to millions of users with zero increase in your monthly cloud API spend.
Local execution completely bypasses network round-trips to your servers. Your users experience instantaneous, real-time AI responses, vastly improving product engagement.
Keep data processing entirely local on the user's machine, satisfying strict enterprise privacy, security, and compliance requirements automatically.
AIR Tiers 1 & 2
Not every user has an M-series Mac or an RTX gaming rig. For budget hardware or locked-down enterprise environments, ScaleDynamics triggers Server-Side Fallbacks.
Automatically block low-end hardware from attempting to download and parse heavy WebGPU model weights that would freeze the main thread.
Seamlessly route these specific sessions to your cloud LLM or backend infrastructure. Low-end users still get the AI features, but your servers only pay for the users who actually need them.
Stop wasting money on global API calls for users whose devices could have easily computed the workload locally.
Stop shipping generic app bundles to an imaginary "average" device. Map your live hardware baseline to identify thermal-throttled mobile users (BDP 1–2), tap unused flagship silicon (BDP 3–4), and pinpoint devices ready for local AI (AIR).
5-Minute Installation:
Add our lightweight loader tag to your HTML <head> or deploy it via Google Tag Manager to start collecting session data.
Capped at 10,000 Sessions
We cover the full infrastructure and database processing costs for your first 10K sessions - giving you complete view of your harware tiers.
100% Enterprise Safe
GDPR/CCPA compliant telemetry that queries low-level hardware and graphics hooks, never user data or PII.
Learn how our diagnostic architecture works →
Two Reports in One Audit
Instantly audit Browser Device Performance bottlenecks and local AI readiness concurrently at no extra cost.
View BDP Sample Report → / AIR Sample Report →
