Pushing Limits with Software Optimization

The demand for speed and efficiency is a key challenge in modern IT. Only in high-performing computing environments can we find answers to the most pressing questions of our time, from climate change and supply chain disruptions to the battle against cancer.

By making software hardware-intelligent, Mynatix is contributing to this quest. Our disruptive, physics-based solution is called LAYCOS, short for «Latency-Optimized Code Segmentation». It enables software to automatically understand its hardware and use its capacities in an optimal way.

Shaping the Future of Efficient Computing

Our goal is clear: to create a world where software no longer needs to be tailored to individual platforms manually. Where code adjusts autonomously to any computing environment. Where new levels of performance are reached by automating the segmentation of code to enable parallel execution.

Mynatix redefines compiling in the 21st century: from syntax optimization to physical intelligence. Our Intellectual Property is a driver of efficiency in all areas of computing, from software development to chip design and cloud computing. With Mynatix, computing finally becomes adaptive.

LAYCOS is being protected by five international patents (PCT) in the areas of:

Compiler / transpiler technology
Operating System Kernels
High-level synthesis (HLS)
Chip Design
Quantum Computing

This makes LAYCOS the basis for multiple technological applications.

Software / OS

Modern software development faces growing complexity due to heterogeneous hardware and the need for efficient parallel execution. As a cloud-based expert system, LAYCOS supports developers by reducing manual optimization effort and making performance more predictable. It reduces time and complexity, independent of programming language and application.

Programmable Hardware

LAYCOS improves the use of programmable hardware by providing a robust path from high-level code to hardware-ready implementations, enabling efficient use in HLS toolchains and downstream ASIC workflows. By automatically segmenting code and exposing parallelism prior to hardware mapping decisions, it addresses a major bottleneck in modern HLS flows.

Reduced CPU

Reduced CPUs offer high efficiency and scalability, as long as software is structured in a way that reflects their physical execution constraints. LAYCOS enables software to automatically understand how it should run on the given hardware, allowing reduced CPUs to achieve high performance with significantly lower energy consumption.

Quantum Computing

One of the key challenges in quantum computing is translating abstract algorithms into executable instructions while respecting strict physical dependencies and limited execution freedom. As a compiler for programmable quantum computers, LAYCOS analyzes dependencies and segments code before hardware mapping, exposing execution freedom in a transparent, physics-based way.

From Pitch Deck to Paper

At Mynatix, we bridge the gap between theory and practice by applying scientific findings from the deep tech sector to IT practice, turning knowledge into economic added value. Our technology is a traceable, scientific process that follows specific criteria. The effectiveness of our LAYCOS method has been proven in initial proofs of concept (PoCs), and we have explained and demonstrated how it works in scientific papers and at conferences.

mynatix - A Deep Tech Startup from Basel

Founded in 2020, we at Mynatix are shaping the next generation of software optimization. From our headquarters in Basel, Switzerland, we apply physics-based technology to enable a fundamental shift: we make software hardware-intelligent.

We are convinced that optimizing the use of hardware is the key to efficiently handling rapidly growing data volumes and enabling successful data-driven business models. This is why we developed LAYCOS. Physical intelligence will become standard: code that understands which platform it runs on and adapts to it optimally.