Leaders in
Artificial Intelligence
Kitware is a leader in artificial intelligence, with more than 20 years of experience driving advancements in AI. At the forefront of R&D efforts focused on emerging technologies, Kitware has a strong track record of partnering with government agencies, academic institutions, and Fortune 500 companies to deliver innovative solutions.
By leveraging generative AI and machine learning, we help organizations work more efficiently across various domains. Contact us to get started.
- 20+ years as an AI company
- 25+ years leading R&D efforts focused on emerging technologies
- More than $100M of federal funding for AI R&D
- 200+ AI publications in research conferences and journals
- More than 300 years of combined individual expertise in AI
- More than 50service roles in premier AI research conferences
- More than 100 federal contracts for AI R&D
- More than $120M in funding from DARPA
Kitware’s
AI Expertise
Our expertise spans computer vision, machine learning, natural language processing, generative AI, medical and biomedical systems, scientific simulations, and software and data engineering. Through our commitment to academic-level R&D and open source technologies, we ensure that our deployed solutions remain at the cutting edge, empowering our partners to achieve their goals with the most advanced AI capabilities.
Visit our Areas of Expertise Page.
Kitware is Committed to Ethical AI
Kitware is committed to AI for social good. As the use of AI applications has increased, the demand for unbiased, trustworthy, and explainable AI has become paramount. We have been at the forefront of research in ethical AI for almost a decade, developing methods and leading studies on how AI can be trusted, how it can make moral decisions like humans, and how it can be harnessed to benefit society while minimizing risk. We are proud to be participants in national research programs in ethical AI including DARPA Explainable AI, DARPA In the Moment, and DARPA Autonomy Standards and Ideas for Military Operational Values. Kitware is also an active member of the AISIC, a U.S. Department of Commerce Consortium dedicated to advancing the development and deployment of safe, trustworthy AI.
Published Ethical AI R&D Efforts
- B. Hu, P. Tunison, B. RichardWebster, and A. Hoogs, “Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 13, pp. 15760-15766, Jun. 2023. [URL]
- Zhiheng Li, Anthony Hoogs, and Chenliang Xu. “Discover and Mitigate Unknown Biases with Debiasing Alternate Networks.” In Proceedings of the European Conference on Computer Vision, 2022. [URL]
- C. Zhao, F. Chen, X. Wu, C. Funk, and A. Hoogs, “1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22),” in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022. [URL]
- B. RichardWebster, B. Hu, K. Fieldhouse, and A. Hoogs, “Doppelganger Saliency: Towards More Ethical Person Re-Identification,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022. [URL]
- B. Hu, B. Vasu, and A. Hoogs, “X-MIR: EXplainable Medical Image Retrieval,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. [URL]
- B. Hu, P. Tunison, B. Vasu, N. Menon, R. Collins, and A. Hoogs, “XAITK: The explainable AI toolkit,” Applied AI Letters, Oct. 2021. [URL]
- B. Vasu, B. Hu, B. Dong, R. Collins, and A. Hoogs, “Explainable, interactive content‐based image retrieval,” Applied AI Letters, Nov. 2021. [URL]
- B. Dong, R. Collins, and A. Hoogs, “Explainability for Content-Based Image Retrieval,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Explainable Artificial Intelligence (AI), 2019.
Our team of experts can help you navigate the complexities of AI development, from boosting performance to implementing robust ethical guidelines.