The latest in computing - empowering your business.

Our mission is to leverage the power of cutting-edge hardware and algorithms to push your application's performance to the next level.

GPU algorithm development

Design & development of parallel algorithms from scratch targeting GPUs

Re-designing existing applications for GPUs

Re-engineering of existing code running on CPUs to GPUs for a performance boost

Code parallelization & performance optimization

Identification and re-designing of critical sections in legacy applications

Distributed & Cloud architectures

Design and development of distributed computing systems, in the cloud or local clusters

Performance-centric software development

Tailored software development with a focus on performance, adapted to the available hardware mix

FOR
Engineering
CAE/CAD
Machine Learning
LLMs
Computational
Science
Big
Data
... or any other compute problem needing a performance boost.
Contact us
0% risk

Pay-for performance model

This is how it works:
1

Analyze

We analyze your problem for free.
2

Performance

We make a performance improvement offer.
3

Pay

You only pay for performance achieved!
Example

We offer 8x speedup, we achieve 4x speedup, you only pay 50%.

Let’s start -GET a first analysIS of your problem
get in touch
Who we are
Daniel Thuerck
FIELDS OF EXPERTISE:
GPUs
AI
Deep Learning
LLM
Heterogeneous Computing
Linear Algebra
Compiler
Systems Integration
Previous employers:
Nvidia
Meta (Facebook Reality Labs)
TU Darmstadt
NEC Labs Europe
Quantagonia
Boro Sofranac
FIELDS OF EXPERTISE:
GPUs
Numerical Simulations
Mathematical Optimisation
Parallel and Distributed Computing
Cloud Computing
Previous employers:
Barcelona Supercomputing Center
SimScale
Zuse Institute Berlin
Quantagonia
ABOUT
  • 15+ years of experience in the HPC industry
  • Research publications in top-tier HPC journals and conferences: Boro and Daniel
  • Growing an engineering team of up to 15 people in a startup through the pre-seed and seed phases
  • HPC projects include: Building and deploying optimisation solvers in the cloud, Compilers for heterogenous hardware, solvers for CFD/FEA simulations, GPU algorithms
  • Al projects include: optimisation packages for visual computing, Deep learning-based far frame face tracking, LLMs for optimisation problem modelling