Kitware
Software R&D organization focused on open-source scientific software, advanced AI, medical computing, scientific visualization, and simulation. Provides custom software engineering, integration of imaging and simulation workflows, AI/ML research and deployment support, data and analytics platform development, and technical consulting to industry, government, and academia.
Industries
Nr. of Employees
small (1-50)
Patents
Products
Resonant data and analytics platform
A reusable data and analytics platform providing a RESTful data-management server, extensible plugin system, web and Python clients, and an assetstore abstraction that supports mixed storage backends for scientific datasets.
Open-source visualization and analysis libraries
Cross-platform visualization and analysis frameworks for 3D scientific visualization, volumetric rendering, and post-processing used to build custom visualization and simulation workflows.
LLM-based literature extraction workflow
Python-based workflow that orchestrates large language models to extract biomedical entities, perform fuzzy matching and database linking, and construct interactive knowledge graphs.
Resonant data and analytics platform
A reusable data and analytics platform providing a RESTful data-management server, extensible plugin system, web and Python clients, and an assetstore abstraction that supports mixed storage backends for scientific datasets.
Open-source visualization and analysis libraries
Cross-platform visualization and analysis frameworks for 3D scientific visualization, volumetric rendering, and post-processing used to build custom visualization and simulation workflows.
LLM-based literature extraction workflow
Python-based workflow that orchestrates large language models to extract biomedical entities, perform fuzzy matching and database linking, and construct interactive knowledge graphs.
Services
Collaborative R&D and custom software engineering for scientific, medical, and visualization applications built on open-source foundations and tailored to customer workflows.
Deployment, customization, and extension of a data-management and analytics platform with RESTful APIs, plugin extensibility, hybrid storage support, and web/Python client integration for scientific datasets.
Design, training, evaluation, and deployment of explainable and robust AI models for imaging and computer vision, along with AI testing and assurance tooling and workflows.
Consulting to design efficient simulation workflows, accelerate pre/post-processing, mitigate I/O bottlenecks, automate analysis, and integrate visualization for CFD, acoustics, battery impact, and manufacturing simulations.
Development of physics-based surgical simulation systems that integrate soft-tissue modeling, hemorrhage and thermal-injury features, and physiologic feedback for training on rare and adverse events.
Collaborative R&D and custom software engineering for scientific, medical, and visualization applications built on open-source foundations and tailored to customer workflows.
Deployment, customization, and extension of a data-management and analytics platform with RESTful APIs, plugin extensibility, hybrid storage support, and web/Python client integration for scientific datasets.
Design, training, evaluation, and deployment of explainable and robust AI models for imaging and computer vision, along with AI testing and assurance tooling and workflows.
Consulting to design efficient simulation workflows, accelerate pre/post-processing, mitigate I/O bottlenecks, automate analysis, and integrate visualization for CFD, acoustics, battery impact, and manufacturing simulations.
Development of physics-based surgical simulation systems that integrate soft-tissue modeling, hemorrhage and thermal-injury features, and physiologic feedback for training on rare and adverse events.
Expertise Areas
- Medical image analysis and segmentation
- Computational physiology and medical simulation
- Medical-image-to-CFD workflows and mesh generation
- Deep learning for medical imaging and model adaptation
Key Technologies
- Deep-learning segmentation models (CNNs, transformers)
- Large language models for information extraction
- Knowledge-graph construction and interactive graph visualization
- RESTful data-management servers with plugin architectures
News & Updates
Received a $2.2M Phase II contract under the Joint AI Test Infrastructure Capability program to advance explainable AI and robustness tooling for defense computer-vision applications.
An established open-source image analysis library joined a community sponsor to support governance and sustainability.
Delivered a prototype workflow that uses large language models to extract biomedical entities from literature and construct interactive knowledge graphs (NIH/NIAID Phase I SBIR).
Awarded a multi-year grant to develop a physics-based surgical simulator that integrates physiologic feedback and rare/adverse-event scenarios for surgical training.
Received a $2.2M Phase II contract under the Joint AI Test Infrastructure Capability program to advance explainable AI and robustness tooling for defense computer-vision applications.
An established open-source image analysis library joined a community sponsor to support governance and sustainability.
Delivered a prototype workflow that uses large language models to extract biomedical entities from literature and construct interactive knowledge graphs (NIH/NIAID Phase I SBIR).
Awarded a multi-year grant to develop a physics-based surgical simulator that integrates physiologic feedback and rare/adverse-event scenarios for surgical training.