Kitware
Kitware is dedicated to delivering innovation through advanced technical computing, state-of-the-art AI, and tailored software solutions. Founded in 1998, the company emphasizes an open-source philosophy, fostering collaboration and transparency to solve complex scientific challenges. Kitware is committed to advancing scientific understanding and improving technology through its extensive expertise in various domains, including AI and deep learning.
Industries
N/A
Nr. of Employees
small (1-50)
Kitware
1712 Route 9, Suite 300, Clifton Park, New York, 12065, USA
Awards
Multi-Domain Life Saving Trauma Innovations (MuLTI)
In-Field Detection of Acute Subdural Hematomas Requiring Urgent, Life-Saving Treatment in Severe TBI Patients
Funding (ceiling)
$1,517,474
Award Year
2019
Patents
Products
Research-oriented medical image analysis platform
Desktop and research platform for medical image visualization, segmentation, registration, and quantitative analysis used in clinical research and simulation workflows.
High-performance data I/O and streaming framework
Scalable, high-throughput data input/output and streaming framework for HPC workflows and in situ coupling between simulation and analysis components.
Reproducible build and configuration toolchain
Cross-platform build system and toolchain for managing compilation, testing, packaging, and continuous integration of complex scientific software projects.
Web-based dataset management and API platform
Server-based platform for dataset hosting, metadata management, API access, access control, and integration with analysis pipelines for large scientific datasets and annotations.
Extensible image processing and analysis libraries
Libraries and toolkits for image filtering, registration, segmentation, and algorithm development for medical and scientific imagery with multi-language bindings.
Scalable scientific visualization and analysis platform
Parallel visualization and analysis platform for rendering and interacting with large scientific datasets, supporting parallel rendering, client-server operation, and in situ workflows.
Research-oriented medical image analysis platform
Desktop and research platform for medical image visualization, segmentation, registration, and quantitative analysis used in clinical research and simulation workflows.
High-performance data I/O and streaming framework
Scalable, high-throughput data input/output and streaming framework for HPC workflows and in situ coupling between simulation and analysis components.
Reproducible build and configuration toolchain
Cross-platform build system and toolchain for managing compilation, testing, packaging, and continuous integration of complex scientific software projects.
Web-based dataset management and API platform
Server-based platform for dataset hosting, metadata management, API access, access control, and integration with analysis pipelines for large scientific datasets and annotations.
Extensible image processing and analysis libraries
Libraries and toolkits for image filtering, registration, segmentation, and algorithm development for medical and scientific imagery with multi-language bindings.
Scalable scientific visualization and analysis platform
Parallel visualization and analysis platform for rendering and interacting with large scientific datasets, supporting parallel rendering, client-server operation, and in situ workflows.
Expertise Areas
- Medical image analysis and quantitative imaging
- AI/ML for computer vision and explainability
- Model testing, benchmarking, and robustness evaluation
- High-performance computing and scalable visualization
Key Technologies
- Deep learning for medical and scientific imaging
- Saliency-based explainability and interpretability methods
- Robustness benchmarking frameworks and perturbation toolkits
- High-performance I/O and scalable data streaming
Key People
Featured In Technology Showcase
In-Field Detection of Acute Subdural Hematomas Requiring Urgent, Life-Saving Treatment in Severe TBI Patients
Traumatic acute subdural hematomas are life-threatening injuries associated with traumatic brain injuries (TBIs) that cause elevated intracranial pressure. Kitware is developing an artificial intelligence (AI)-enhanced point-of-care ultrasound (POCUS) system that is compatible with a wide range of commercial ultrasound probes. Following a TBI, the medic applies the ultrasound probe to the eye and the AI-enhanced POCUS system predicts intracranial pressure to help guide initial care and triage of wounded warfighters.
News & Updates
A webinar discussing strategies for transparency, accountability, and human-centric decision making in AI.
Kitware's contributions to the CDAO's Joint AI Test Infrastructure Capability, focusing on AI assurance tools.
Kitware is developing a system to detect falsified information in media as part of DARPA's Semantic Forensics program.
Kitware is developing AquaLENS to enhance visual perception systems for autonomous underwater navigation.
Exploring the dual role of Large Language Models in cybersecurity and the introduction of ConvoSentinel.
Kitware will lead a team to develop algorithms that can perform biometric recognition and identification in challenging scenarios.
A webinar discussing strategies for transparency, accountability, and human-centric decision making in AI.
Kitware's contributions to the CDAO's Joint AI Test Infrastructure Capability, focusing on AI assurance tools.
Kitware is developing a system to detect falsified information in media as part of DARPA's Semantic Forensics program.
Kitware is developing AquaLENS to enhance visual perception systems for autonomous underwater navigation.
Exploring the dual role of Large Language Models in cybersecurity and the introduction of ConvoSentinel.
Kitware will lead a team to develop algorithms that can perform biometric recognition and identification in challenging scenarios.