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The technology

MOS β€” MultiCortex Optimization Stack

A software layer between AI models and hardware that optimizes how they run on chips.

What MOS is

Extract the maximum from every chip

For any company running AI inference, MOS sits between the model and the silicon: an optimization layer that routes every step of processing to the right accelerator, at the right time β€” GPU, CPU, NPU or XPU, alone or combined.

Extract the maximum from every chip β€” for any company running AI inference.

The architecture

Sovereignty, end to end

From chat to silicon, every layer is yours. Four layers, zero external dependencies.

1

Conversational interface

The layer end users see and use β€” chat, assistant or application β€” free to be built and hosted however your company prefers.

2

Open source LLMs

Any open source language model, in whatever version and size fits your use case β€” with no dependency on a single model vendor.

3

MultiCortex OS

The AI operating system that orchestrates execution: this is where MOS lives, distributing each workload across the available accelerators.

4

Hardware

Any GPU, CPU, NPU or XPU, from any manufacturer β€” MultiCortex extracts performance from what your company already owns.

Zero hardware and software lock-in

Why it matters

Zero lock-in, end to end

Switching hardware vendors or models should never mean rewriting your AI infrastructure. MOS was built to make that switch transparent.

Any hardware

GPU, CPU, NPU or XPU β€” from any manufacturer. Your company is never locked into a single chip brand to keep operating.

Any model, any language

Support for open source models and the programming languages your team already uses, with no forced migrations.

See MOS in action

Meet the product that applies this technology to companies already running AI in production.