doubleAI Unveils The First AI That Lives Inside Running Code

Frontier lab introduces Code Execution Models (CEMs), a new category of AI that understands and improves code while it runs, from within.

TEL AVIV, Israel, October 19, 2026--doubleAI today introduced a new category of AI model: Code Execution Models (CEMs). CEMs place intelligence somewhere it has never been before: between code and silicon. While coding agents act on behalf of the user, a CEM acts on behalf of the hardware. The promise of CEMs is in multiplying available hardware, through their ability to unlock a vast share of compute that sits idle today. The first CEM, doubleAI's Maxwell, is now open for early access at heymaxwell.ai.

A CEM lives inside the running program. Unlike coding agents, which take human instructions and produce source code, CEMs operate on a different level entirely. Their inputs are the running program itself, the hardware it runs on, and the data flowing through it, and they produce instructions meant directly, and only, for the machine. The source code people and coding agents write and read stays exactly as it was. Maxwell is a CEM that continuously inspects and improves the binary under the code as it runs, fitting it to the exact hardware, data, and usage it encounters.

Every improvement Maxwell makes is formally proven correct. Until now, AI has never been trusted inside running software: changes made while code runs get no human review, and conventional AI models can make mistakes. doubleAI has made breakthroughs in verification that change this. Maxwell formally and mathematically proves that every optimization it unlocks leaves the program's behavior unchanged.

Compute has become one of the world's scarcest resources. CEMs get more out of every piece of hardware, either CPU or GPU. The same hardware does more work, or the same work needs less hardware. On real-world workloads, doubleAI's first CEM, Maxwell, has made data pipelines over 38x faster and AI inference kernels over 4.5x faster.

Why Code Execution Models?

CEMs change the paradigm of how we use computers. Up until now, software has been static. Humans and AI agents write code, and that code is then carried out by the machine, exactly as written. But the environments it runs in are dynamic. Hardware, data, and usage shift constantly, and the best version of a program can change by the hour. Static code can't keep up. This is why hardware is so underutilized.

CEMs make code dynamic. A living thing that shifts and improves as it runs. In a compute-constrained world, that is what it takes to get full use out of every chip. A CEM is an agent for the machine: it makes the CPUs and GPUs themselves intelligent.