Specialized engineering
for medical imaging software


GoCompute helps MedTech R&D teams resolve performance bottlenecks, reduce technical risk and bring complex imaging functionality into production-ready software.

Principal-led technical direction and hands-on engineering—from feasibility and architecture to implementation, optimization and integration into regulated products.

Specialized engineering at critical moments

Clients typically involve GoCompute when a focused GPU, imaging or architecture challenge is slowing product development or creating technical risk.

Performance bottleneck

Interactive imaging workflows miss latency or throughput targets and need focused analysis and optimization.

Architecture decision

A GPU pipeline, viewer concept or product integration needs an independent technical direction.

Feasibility risk

A new imaging concept needs rapid validation before the team commits to a product roadmap.

Specialist capacity gap

The internal team needs additional imaging or GPU expertise without building a permanent specialist group.

Ways to engage GoCompute

Bring us in for a focused technical assessment, a defined engineering package or ongoing integration into your R&D team.

Senior technical leadership. Focused engineering delivery.

GoCompute is founded and technically led by Philipp Huber, M.Sc., Founder & Principal Engineer. Philipp leads R&D, architecture and engineering delivery and remains directly involved in technically critical decisions.

Clients get the continuity of a principal engineer together with the delivery capacity of a focused team. Our expertise spans medical imaging, computer graphics, GPU computing, visualization and regulated product software development.

We support existing product software and new imaging functionality—from early feasibility through implementation and regulated product integration. GoCompute is based near Salzburg, Austria.

Core capabilities. Where we add technical depth.

GPU & Rendering Optimization

Design, accelerate and modernize performance-critical compute and rendering pipelines — including GPU ports, volume visualization, image filters, voxel and mesh processing, custom shaders and real-time interaction across suitable graphics and compute technologies.

Viewer, Planning & Interaction Tools

Develop interactive 2D/3D viewers and planning workflows involving DICOM, MPR, DRR, image fusion, registration, segmentation tools, measurements, volume interaction and simulation-related concepts.

Imaging Pipeline Prototyping & Integration

Prototype and integrate imaging pipelines across projection-data processing, calibration support, reconstruction, post-processing, segmentation support and interactive visualization.

Architecture & Regulated Product Integration

We guide imaging functionality from feasibility and architecture through requirements, implementation, verification support, traceability and integration into regulated medical-device software.

Selected medical imaging collaborations. Applied engineering for real product foundations.

Long-term collaborations spanning imaging algorithms, GPU computing, visualization, simulation and reusable software platforms.

medPhoton

Imaging pipelines, enhancement & registration

Contribution: Engineering across medical imaging pipelines, projection-level image enhancement, 3D post-processing, 2D/3D, 3D/3D and deformable registration, MPR and purpose-built imaging tools.

Outcome: Supported the integration of enhancement, post-processing, registration, MPR and purpose-built tools into coherent medical-imaging workflows.

CADS

Voxel, mesh & simulation platform

Contribution: Architecture and engineering for a reusable core library covering voxel and polygon segmentation, accuracy-aware real-time voxel cutting, voxel-to-mesh and mesh-to-voxel transformation, soft-tissue simulation, real-time optimization and purpose-built tools.

Outcome: The library provides a reusable software foundation for multiple projects.

From technical uncertainty to a defined engineering path.

A first 30-minute technical call clarifies the challenge, relevant constraints and whether a focused assessment or an engineering engagement is the right next step.

1. Technical discovery — clarify the problem and constraints.
2. Initial recommendation — define the most useful engagement.
3. Scope and delivery — agree on team, deliverables and reviews.

Have a complex medical imaging software challenge?
Discuss the technical context and a practical first step with GoCompute.

Join GoCompute.

We welcome experienced software engineers, students and technical collaborators interested in medical imaging, computer graphics and GPU computing.

Send a short introduction, CV or portfolio to start a conversation.