Software Project Showcase

Selected work across AI, HPC, and infrastructure - built where nothing existing fit, adapted where something already did.

Strategic Partnership

UuedViljapuuaiad OÜ partnered with CodeZero Group on these groundbreaking projects, with CodeZero leading the technical implementation under the visionary guidance of Andy Ramgobin, the brilliant mind behind these innovative solutions.

Interested in our technical expertise?

Let's talk about what's actually needed - and whether the right answer is something new or something we've already built.

CONTACT US

See what we are shipping right now - Work Feed

Showing 4 projects in Scientific Computing. Clear filter
Project Ermes

Project Ermes

Scientific Computing

An internal research project focused on Computational Fluid Dynamics (CFD). Uses high-performance computing to analyze fluid behavior in scenarios like immersion cooling environments.

Built with
Key features
  • Fluid behavior analysis in controlled environments
  • Immersion cooling performance research
  • HPC utilization for complex calculations
Project Nero

Project Nero - CFD

Scientific Computing

A Computational Fluid Dynamics implementation using GPUs to accelerate performance. Runs on Nutanix's hypervisor with NVIDIA A40 GPUs in an immersion cooling environment.

Built with
Key features
  • GPU-accelerated CFD simulations
  • Software-defined storage integration
  • Complex mesh file processing
Seismic Nexus Geophysical AI Platform

Seismic Nexus

Scientific Computing

Yale Geophysical AI Competition Platform designed for advanced seismic data analysis and machine learning applications, integrating geophysical modeling with competitive research environments for academic institutions.

Built with
Key features
  • Advanced seismic data analysis capabilities
  • Competitive research environment
  • Yale University academic integration
RNA Structure Prediction

RNA Structure Prediction

Scientific Computing

Stanford RNA 3D Folding Project utilizing computational methods for predicting RNA secondary and tertiary structures, integrating machine learning with structural biology for molecular design and drug discovery.

Built with
Key features
  • Advanced RNA secondary structure prediction
  • 3D tertiary structure modeling and validation
  • Stanford research collaboration platform