A patent-pending runtime that routes every AI workload to the cheapest hardware that can actually run it, across cloud, edge, on-prem, mobile and your user's own browser. Operators cut their compute bills. We take a fee on every workload routed. No data leaves their systems.
The problem
To run AI and heavy compute, operators pay the AWS or Google Cloud bill, or buy more servers, and watch it crush their margins. Hyperscalers spent over $450B on AI data centres in 2025, while roughly 5 billion capable GPUs sit idle in people's own phones and browsers, already paid for. The hardware to run things cheaply already exists. The intelligence to route to it did not.
How it works
Hadron is a drop-in library inside your software. On every workload it reads the shape of the job (size, type, precision needs, never the data), scores the options, and runs it on the cheapest hardware that can actually do it, falling back safely if a target is unavailable.
Hyperscaler GPU, plus CDN and serverless edge.
WebGPU, on five billion devices already in your users' hands.
iOS Metal, Android Vulkan, and enterprise CUDA / DirectCompute.
NPU, TPU and embedded accelerators. The cheapest capable target wins.
Proof
The engine is live in your browser today. The numbers below are measured, not projected.
Speedups are peak figures and routing is configurable for cost or speed. The £10M+ saving is modelled from measured benchmarks, not yet realised in production.
Why now
WebGPU shipped across every major browser in Q4 2025, an open W3C standard, making five billion client devices programmable for GPU compute overnight. No commercial dispatch runtime has shipped, we are the only filed IP in the category, and the international patent priority window closes in March 2027. The technical unlock, the economic pain and the IP window line up now.
Why we win
Static. Decided ahead of time, not at runtime.
Compile-time. Optimises a model, does not route a workload.
Primitives. The building blocks, not the decision.
The runtime routing layer across all of them, with deterministic scoring, GPU inhibition and safe CPU fallback.
The moat
Five UK patent applications, all assigned to Ayoob AI Ltd, filed with the UKIPO in 2026. The only filed IP in cross-platform compute dispatch.
Team
Husain Ayoob, founder and sole inventor on all five patent families, built the entire runtime and live demo, so the core technical risk is already retired. He is advised by Prof. Graham Morgan (Newcastle University, 20-plus years in GPU compute, close to directors at NVIDIA) and Ian Wilkin (ex-ADIA, private equity).
Hadron is live and working today. Try the demo, or get in touch.