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Transform Defense Acquisition into a Strategic Advantage

It's in the ark
Applications

Supply Chain

Unearth risks such as hidden prohibited suppliers, geographic vulnerabilities, and foreign reliance
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Science & Technology

Research emerging technologies; surface adversarial capital, and accelerate due diligence for capabilities
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Production

Track vendor performance, forecast part lead times, and monitor supplier health
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Sustainment

Identify obsolescence risks, analyze raw materials and parts pricing, and highlight stock on-hand
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Modernization

Pinpoint available raw materials, identify workforce gaps, and highlight emerging technologies
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Join The Ark

Start with the leading Defense Acquisition Software
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Clients

Today, Govini is used across the U.S. federal government, including the Department of Defense and other national security agencies.

The United States depends on the Defense Acquisition Process to quickly field next-generation military platforms that counter sophisticated adversaries. But right now, that process is broken, dominated by manual and complex approaches. Govini builds software that modernizes the Defense Acquisition Process, leveraging authoritative data and AI-enabled applications to transform Defense Acquisition into a strategic advantage.
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Technology

Ark.ai Defense Acquisition Software

Ark.ai is the leading Defense Acquisition software for National Security. Built by Govini, the Ark contains the most comprehensive collection of commercially sourced data and uses bleeding edge artificial intelligence and machine learning to solve challenges pertaining to Supply Chain, Science & Technology, Production, Sustainment, and Modernization.
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Govini Certification Program

A critical part of achieving decision advantage is ensuring the people working through SCRM problems within the U.S. government have the capabilities needed to navigate the supply chain data environment. Govini’s Certification Program consists of five robust courses. It is designed for professionals from all levels and experience backgrounds interested in data-driven workflow efficiencies to better evaluate supply chain risk.
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