Why outstaff instead of hiring in-house? Because every extra day without the right C++ brain behind your Oncology Treatment Planning Software costs money—and, more importantly, patient well-being. With outstaffing you unlock instant access to senior engineers who have already built dose-calculation kernels, DICOM-RT parsers, and GPU-accelerated contouring engines. No recruitment fees, no payroll overhead, no visas. You pay only for real coding hours, scale up or down in a week, and keep full IP ownership. Your internal team keeps control; we supply the horsepower.
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48-Hour Staffing
Cost Efficiency
Expert Oncology Focus
Zero Recruitment Fees
Scalable Teams
Contract Flexibility
IP Security
Timezone Overlap
Seamless Integration
Vetted C++ Gurus
Compliance Ready
Rapid Onboarding
What Technical Leaders Say
“Smartbrain.io placed two C++ experts who optimised our Monte-Carlo dose-calculation module. They mastered template metaprogramming and SIMD within days, cutting computation time by 42 %. Integration into our existing GitLab flow was frictionless and the team’s onboarding pack shaved a week off our usual ramp-up.”
Emily Carter
CTO
MedScribe Diagnostics
“Although we build ADAS, our spin-off cancer-imaging project needed CUDA-ready C++ pros. Smartbrain.io delivered in 36 h. Memory-safe multithreading and low-latency pipelines were in place within the sprint, freeing my core team to focus on UI.”
David Rodriguez
Lead Engineer
Velocity Motors
“We repurposed our high-frequency trading cluster for radiotherapy research. The Smartbrain.io developers refactored massive legacy C++98 code into modern C++20, improved pointer safety, and raised test coverage to 92 %. Hiring cycle: 2 days instead of 6 weeks.”
Sarah Nguyen
VP Engineering
Quantum Wave Capital
“Our studio applied real-time 3-D rendering know-how to tumour visualisation. Smartbrain.io’s augmented engineers tuned OpenGL and Vulkan C++ layers, achieving 60 fps on mid-range GPUs. Contract flexibility let us extend engagement only for the polishing phase.”
Mark Thompson
Studio Director
PixelForge Studios
“Smartbrain.io delivered a vetted C++ dev versed in ROS2 and DICOM. Their contribution automated our biopsy-robot’s path-planning and halved manual QA. Onboarding pack, code-style alignment, and Slack availability matched our internal SOPs perfectly.”
Lisa Patel
Product Manager
OmniBotics Inc.
“We needed ISO-14971 compliant C++ modules for a space-borne oncology experiment. Smartbrain.io sourced two senior engineers with secure coding and static analysis expertise, reaching FDA-ready documentation in three sprints—record speed for us.”
Michael Brooks
Chief Engineer
AeroNova Systems
Industries We Empower
Hospital Cancer Centers
Clinical oncology departments rely on C++-driven Oncology Treatment Planning Software to accelerate dose calculation, auto-segmentation and adaptive replanning. Augmented C++ talent refactors legacy TPS kernels, integrates imaging modalities, and ensures DICOM-RT compliance, allowing hospitals to deliver patient-specific radiation schedules faster while maintaining strict safety regulations.
Proton Therapy Vendors
Particle-therapy equipment manufacturers need deterministic, GPU-optimised C++ code for pencil-beam scanning and range-shifter modelling. Outstaffed developers extend beam-line control software, implement real-time Monte-Carlo engines, and cut simulation runtimes, giving vendors a competitive edge in the Japanese oncology market.
Radiology Equipment OEMs
CT/MRI device producers embed Oncology Treatment Planning Software into imaging consoles. Augmented C++ engineers build cross-platform drivers, memory-efficient 3-D visualisation, and micro-service connectors that push volumetric data straight into planning workstations, shortening diagnostic-to-treatment cycles.
Clinical Research CROs
Contract Research Organisations leverage C++ augmentation to mine anonymised treatment data, validate new dose algorithms, and automate statistical analysis pipelines. Specialists familiar with Oncology Treatment Planning Software ensure studies run reproducibly across multi-site clusters.
Pharma Oncology R&D
Drug discovery teams integrate treatment-planning outputs to model radiochemotherapy synergies. Outstaffed C++ scientists create high-performance simulation frameworks, enabling real-time parameter sweeps and accelerating compound screening.
Health-Tech AI Startups
AI-based contouring platforms augment C++ inference engines with domain-specific optimisations. Remote experts compress model binaries, integrate CUDA, and deliver inference latencies below 50 ms—key for clinical usability.
Insurance Utilisation Mgmt.
Payers assess complex Oncology Treatment Planning Software outputs to approve coverage. Augmented C++ devs build rule-based engines parsing DICOM-RT and HL7, cutting manual review time while maintaining audit trails.
Government Cancer Registries
Public health agencies must ingest treatment-planning datasets at national scale. C++ specialists create high-throughput ETL pipelines, compressing terabytes of voxel data and enabling timely epidemiological insights.
Academic Medical Labs
University hospitals conduct experimental therapy research requiring rapid algorithm prototyping. Outstaffed C++ talent contributes numerical libraries, parallelises code for HPC clusters, and mentors PhD teams on modern C++ best practices.
Oncology Treatment Planning Software Case Studies
National Center Dose Engine Revamp
Client: Government-funded National Cancer Center
Challenge: Existing Oncology Treatment Planning Software could not compute adaptive plans within clinical deadlines.
Solution: A pod of three Smartbrain.io C++ consultants rewrote the dose-calculation kernel in C++20, introduced GPU off-loading with CUDA, and integrated continuous QA scripts. Close collaboration with physicists ensured deterministic accuracy.
Result: Computation time decreased by 57 %, enabling same-day replanning and increasing daily patient throughput by 18 %.
Challenge: Existing Oncology Treatment Planning Software could not compute adaptive plans within clinical deadlines.
Solution: A pod of three Smartbrain.io C++ consultants rewrote the dose-calculation kernel in C++20, introduced GPU off-loading with CUDA, and integrated continuous QA scripts. Close collaboration with physicists ensured deterministic accuracy.
Result: Computation time decreased by 57 %, enabling same-day replanning and increasing daily patient throughput by 18 %.
Device Maker Real-Time Monte Carlo
Client: Mid-sized radiology equipment manufacturer
Challenge: Their Oncology Treatment Planning Software module lacked real-time Monte-Carlo simulation for proton therapy quality assurance.
Solution: Two augmented C++ physicists implemented voxelised GPU kernels and memory-pool allocators, collaborated via Jira, and shipped a validated DLL within 10 weeks.
Result: QA cycle shortened by 65 %; hardware sales pipeline grew by $7.4 M thanks to the new feature.
Challenge: Their Oncology Treatment Planning Software module lacked real-time Monte-Carlo simulation for proton therapy quality assurance.
Solution: Two augmented C++ physicists implemented voxelised GPU kernels and memory-pool allocators, collaborated via Jira, and shipped a validated DLL within 10 weeks.
Result: QA cycle shortened by 65 %; hardware sales pipeline grew by $7.4 M thanks to the new feature.
Cloud TPS for Telehealth Startup
Client: Series-B telehealth provider pivoting into radiotherapy
Challenge: The Oncology Treatment Planning Software had to be containerised for multi-tenant AWS deployment while meeting HIPAA.
Solution: Four Smartbrain.io C++/DevOps engineers decomposed the monolith into micro-services, added gRPC interfaces, and automated DICOM-RT encryption layers.
Result: Deployment effort per client dropped by 72 %; platform uptime reached 99.98 % post-launch.
Challenge: The Oncology Treatment Planning Software had to be containerised for multi-tenant AWS deployment while meeting HIPAA.
Solution: Four Smartbrain.io C++/DevOps engineers decomposed the monolith into micro-services, added gRPC interfaces, and automated DICOM-RT encryption layers.
Result: Deployment effort per client dropped by 72 %; platform uptime reached 99.98 % post-launch.
Book a 15-Min Discovery Call
120+ C++ engineers placed, 4.9/5 avg rating. Schedule a quick call to map your Oncology Treatment Planning Software roadmap to vetted talent—no obligation, pure insight.
Our C++ Outstaffing Services
Radiotherapy Algorithm Dev
Design & code advanced pencil-beam, Monte-Carlo or collapsed-cone algorithms in optimised modern C++. Our outstaffed experts accelerate iterations while your physicists focus on research, not boilerplate.
Dose Calc Optimisation
Squeeze every millisecond out of your existing dose engine. We profile, vectorise and parallelise kernels, often delivering 40-60 % speedups without hardware changes.
Legacy C++ Modernisation
Migrate safely from C++98 to C++20, eliminate raw pointers, and implement unit-tests that lift code quality and regulatory confidence.
GPU Acceleration
CUDA/OpenCL experts convert CPU-bound sections of your Oncology Treatment Planning Software into massively-parallel GPU code, cutting hours to minutes.
QA Automation Suites
Automated plan QA with Python-to-C++ bindings, ensuring each dose plan meets clinical tolerances while freeing clinicians from tedious checks.
Interoperability & DICOM-RT
Seamless data flow via robust DICOM-RT, HL7 and FHIR connectors coded in C++ to move images and plans across heterogeneous hospital systems.
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