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Kitware at Supercomputing 2026

At SC26, Kitware will showcase interactive visual workflows designed for large, complex simulations. Our work combines scalable visualization, in situ analysis, AI, GPU computing, and modern application development to support today’s demanding scientific and engineering workflows.

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A promotional banner for the SC26 (Supercomputing 2026) conference in Chicago, IL, featuring dark navy 3D hexagonal patterns on the left and SC26 branding on the right, bordered by an intricate collage of hexagonal scientific visualizations. These hexagons display diverse high-performance computing (HPC) simulations, including aerodynamics of a motorcycle and plane, 3D anatomical scans, fluid dynamics, geological or battery models, molecular and granular particle physics, marine engineering, global climate maps, and complex networks of trace fibers.

Free Webinar: VTK Agents: Making Scientific Software More Accessible with AI

Explore how LLMs and AI agents can make complex scientific software more approachable. Join Kitware developers to learn how these technologies are being integrated into VTK to simplify development workflows and support ongoing software maintenance

Build Your Career at Kitware

Are you looking for an opportunity to apply your expertise to meaningful technical challenges? At Kitware, you’ll collaborate with talented teams, contribute to innovative research and development, and help advance open source technologies used across industries. Explore our open positions and discover where your skills could make an impact.

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Kitware Expands into Cybersecurity Research

Kitware welcomes Dr. Mike Ter Louw as Director of Advanced Cybersecurity Research. This new area builds on decades of experience in AI, machine learning, and software development to discover and test novel approaches to cybersecurity research.

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Trusted by Leaders Across Industry, Government, and Academia

We collaborate with a diverse set of customers, including Fortune 500 companies, government agencies, and academic institutions.

Integrated NVIDIA Clara open source AI modelsto bring advanced medical imaging AI into clinical workflows.

Transitioned AMD Radeon™ Software: AdrenalinEdition to CMake, improving developer workflowsand long-term maintainability.

Sample workflow for supercomputing environments.

Implemented secure, HPC-ready GitLab CI fornational laboratory supercomputing environments.

Developed AI testing and evaluation toolssupporting responsible AI adoption across theDepartment of Defense.

Developed an interactive research platform withToyota Research Institute to explore andunderstand materials data.

Developed an AI-powered ultrasound with JohnsHopkins to improve newborn heart diseasedetection.

Worked with Geisinger to test patientmanagement systems across diverse patientscenarios.

Engineered digital twin frameworks for the DOEto test and evaluate its complex researchnetworks before real-world deployment.

Integrated open source tools with Looking GlassFactory displays to enhance visualization capabilities.

Developed and maintained a cloud-basedcontinuous integration system for DrakeRobotics to ensure reliable C++ software.

Enabled real-time marine mammal detection forNOAA using edge AI systems.

Strengthened Minecraft’s CMake build system toimprove development speed and reliability.

Collaborated with Johns Hopkins on an ARPA-Hproject to improve tumor removal precisionthrough AI-powered surgical guidance.

Developed annotation tools for the Allen Instituteto map brain samples to 3D reference atlases.

Enabled scalable volumetric X-ray analysis forLawrence Berkeley National Laboratory.

Established benchmarks to evaluate ethicalalignment in autonomous systems for DARPA.

Supported development and FDA clearance oflung ventilation imaging software for Polarean.

Enabled large-scale biomedical discovery for theNIH by extracting structured knowledge from scientific literature with LLMs.

Developed a virtual anatomy suite for ClevelandClinic to annotate and share anatomical data.

Partnered with Stanford to develop a deeplearning algorithm to identify problematic MRIscans for NIH research studies.

Built realistic mechanical ventilation simulationsystems for AFRL clinical training.

Integrated AI/ML into NASA’s aerospacesimulations to reduce compute hours and deliverfaster, more reliable results.

Trusted for decades.
Used by millions daily.

Build on the power of Kitware’s proven open source platforms to accelerate development and reduce costs.

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