Knowesis Awarded Joint Artificial Intelligence Center Artificial Intelligence Talent 2.0 (JAIC AIT 2.0) IDIQ

Knowesis Inc. (Knowesis) is pleased to announce its selection as an awardee of the Artificial Intelligence Talent (AIT) 2.0 Indefinite Delivery/Indefinite Quantity (IDIQ) contract. This prestigious contract, issued under the Joint Artificial Intelligence Center (JAIC), establishes Knowesis as a trusted partner in supporting the Department of Defense’s (DoD) future-state mission of responsible artificial intelligence technology adoption.

The AIT 2.0 IDIQ contract provides the Chief Digital and AI Officer (CDAO) with a vehicle through which industry experts can be contracted to support the DoD’s efforts in integrating and leveraging artificial intelligence (AI) and machine learning (ML) technologies. Leveraging its extensive expertise and deep understanding of AI and ML applications, Knowesis aims to assist the government in overcoming existing and anticipated obstacles in AI adoption and utilization.

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Sheilah O’Brien, Managing Principal of Knowesis Inc., stated, “Knowesis is committed to helping the government achieve its future state mission of implementing AI and ML technologies by offering specialized expertise and innovative solutions in these areas. By providing cutting-edge AI and ML technologies, consulting services, and training programs, Knowesis will empower government decision-makers with data-driven insights. We will collaborate closely with government agencies to develop tailored solutions that address specific challenges and contribute to the overall advancement of AI and ML adoption in the public sector.”

Under this five-year contract, Knowesis will provide personal and technical support services and products to DoD programs, the defense cyber community, and customers. These services will encompass a wide range of areas, including agile development, cyber analytics, cybersecurity and risk management, integration, Security / Development / Operations (SecDevOps), systems engineering, systems maintenance and sustainment, systems security engineering, ML model development, ML operations, applied data science, testing, graphic design, logistics, and training.

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