Performance engineering for medical imaging and radiotherapy software
We turn complex imaging and therapy compute into faster, reliable pipelines: GPU acceleration, real-time integration, and decision-grade visualization.
What we help ship
Specialized engineering for high-performance medical software systems.
Faster reconstruction pipelines
Reduce time-to-image and increase throughput without losing fidelity. (CT / MRI / PET / US)
Dose engines & treatment planning
Speed up dose workflows while protecting numerical behavior and plan quality.
Accuracy-preserving optimization
Profile, optimize, and validate critical kernels with reproducible benchmarks.
DSP & Fourier signal workflows
Accelerate transforms, filters, and estimators for real-time or scale.
GPU acceleration & portability
Port and tune scientific code across GPU platforms (CUDA/HIP/OpenCL) and toolchains.
Real-time embedded integration
Deploy algorithms into streaming systems with tight latency constraints.
Engineering precision for critical systems
We bridge the gap between research algorithms and production-grade software. Our team specializes in the unique constraints of medical devices—regulatory requirements, numerical precision, and hardware limitations.
Bit-exact validation
We ensure optimized code matches reference implementations exactly.
Hardware-aware tuning
Optimization for specific GPU architectures and memory hierarchies.
Regulatory-ready documentation
Clean code and documentation that supports your 510(k) or CE marking.
Trusted by teams building
Case Studies
Real results from our recent performance engineering engagements.
Ultrasound beamformer for a prototype GPU platform
What changed
Legacy CPU implementation was bottlenecking frame rate.
What we delivered
CUDA-based beamformer with 12x speedup and bit-exact validation.
Radiotherapy dose calculation optimization
What changed
Monte Carlo simulation took 45 mins per plan.
What we delivered
Optimized ray-tracing kernels reducing time to 4 mins with <1% deviation.
Experiment analysis dashboard
What changed
Researchers used manual scripts to visualize sensor data.
What we delivered
Interactive React/D3 dashboard for real-time signal analysis.
Assessment → Sprint → Integration
A low-risk engagement model designed for engineering teams.
Assessment (1–2 weeks)
- Profiling + bottleneck map
- Success metrics (speed/latency)
- Sprint plan with risks & estimates
Acceleration Sprint (2–6 weeks)
- Implement/optimize kernels
- Add benchmarks & regression tests
- Weekly demos + updates
Integrate & Hand off
- Clean PRs & documentation
- Reproducible profiling setup
- Option to extend via staff augmentation
Ready to accelerate your roadmap?
Request an assessment to get a concrete plan and deliverables.
Request an assessmentLatest Insights
Technical deep dives into performance engineering.
About YSCALE Consulting
A founder-led, remote engineering team dedicated to
solving the hardest performance challenges in medical software.
Deep Domain Expertise
We understand DICOM, sinograms, k-space, and dose grids. We speak your language.
Performance First
We obsess over latency, throughput, and memory usage. We write code that runs close to the metal.
Rigorous Validation
Speed is nothing without accuracy. We build automated regression suites to ensure clinical safety.
Join our team
We're always looking for talented engineers with
experience in C++, CUDA, and medical physics.