Performance engineering and prototype productization for medical imaging and signal processing
We turn research prototypes and complex imaging compute into fast, reliable, shippable pipelines: GPU acceleration, real-time telemetry, and regulatory-ready productization
What we help ship
Specialized engineering for demanding medical software — from research prototype to production-grade product.
Fast image reconstruction pipelines
Reduce time-to-image and increase throughput without losing resolution. (CT / MRI / PET / US)
Prototype-to-product hardening
Take research code and proof-of-concept algorithms from the lab to a shippable product: testing, documentation, and a software lifecycle aligned to IEC 62304.
Live system telemetry
Low-latency dashboards that surface system health and anomalies before they escalate.
Performance engineering & benchmarking
Profile, optimize, and validate critical kernels with reproducible benchmarks.
GPU acceleration & portability
Port and tune scientific code for GPU platforms (CUDA/C++)
Embedded & streaming integration
Deploy algorithms into latency-constrained streaming and embedded systems.
Engineering precision for critical systems
We harden research and proof-of-concept code into a shippable, regulatory-compliant product. 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
Audit-ready code and documentation aligned to IEC 62304 and your 510(k) filing
Trusted by
Case Studies
Real results from our recent performance engineering and productization engagements.
GPU image reconstruction for a 3D ultrasound scanner
What changed
CUDA reconstruction pipeline was memory-bandwidth bound, with sub-linear multi-GPU scaling eating into throughput.
What we delivered
Profiling-driven optimizations plus a CI-backed performance/correctness harness, revisited and re-tuned as the client moved to newer GPU generations.
Collapsed-cone convolution dose calculation improvement
What changed
Collapsed-cone convolution dose engine was slow, and worst-case measurement-to-calculation error ran as high as 10% at tissue discontinuities.
What we delivered
A 3x faster dose engine with worst-case error brought under 2%, traced to pixel-level artifacts at tissue boundaries.
Phantom treatment experiments dashboard
What changed
Phantom treatment experiment records were tracked manually across scripts and Slack messages.
What we delivered
Automated pipeline and dashboard giving full visibility into every phantom treatment experiment.
Assessment → Sprint → Integration
A low-risk engagement model designed for engineering teams.
Assessment (1–2 weeks)
- Profiling + bottleneck map, or prototype readiness review
- Success metrics (speed, latency, or productization milestones)
- Sprint plan with risks & estimates
Build Sprint (2–6 weeks)
- Implement, optimize, or productize the code
- Add benchmarks, tests & regression suite
- Weekly demos + updates
Integrate & Hand off
- Clean PRs & documentation
- Reproducible profiling & regulatory-readiness docs
- Option to extend via staff augmentation
Ready to accelerate your roadmap?
Request an assessment to get a concrete plan and deliverables.
Request an assessmentAbout YSCALE Consulting
A founder-led, remote engineering team dedicated to turning prototype algorithms into fast, production-ready medical software.
Deep Domain Expertise
We understand DICOM, sinograms, k-space, and dose grids. We speak your language.
Performance & Productization
We obsess over latency, throughput, and memory usage — and about shipping code that's ready for production, not just a demo.
Rigorous Validation
Speed is nothing without accuracy. We build automated regression suites to ensure clinical safety.