Aptive is a federal health company. We work inside the country’s largest, most demanding health systems, where the programs are consequential and the margin for error is small. We partner with health agencies to design and deliver solutions built to perform under that kind of pressure, for the agencies depending on them and the people those agencies serve.
That means putting the right clinical expertise and tools in place when it matters. It means thinking boldly and executing with precision. And it means holding ourselves to one standard: did health care get better? We are not just keeping pace with what federal health care demands, we are part of defining what it becomes.
Founded: 2012
Headquarters: Alexandria, Virginia
Employees: 400+ nationwide
Aptive has received a three-year, $9.4 million contract to modernize the Veterans Health Administration's Veteran and Family Member Programs, bringing automation, data migration and data exchange support to a program serving more than 7 million Veterans and family members.
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Multi-model and multi-agent AI architectures are now the default way serious enterprise and federal AI work gets built. That power comes with real tradeoffs: expanded attack surface, harder audit trails and governance gaps most teams underestimate. Article 6 of Aptive’s Agentic AI Governance Series lays out the risk taxonomy, a control baseline mapped to NIST 800-53 and the architecture patterns that hold up in regulated environments.
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Aptive has won a two-year, $2.3 million VA task order to support the Office of Suicide Prevention's Strategic Sprints.
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Aptive is a Veteran-owned healthcare company, so when this year's Fitness Frenzy challenge wrapped up Aug. 31, the mileage was only part of the story. Employees logged 4,089 miles over six weeks, and Aptive Cares made a donation to the National Disabled Veterans Winter Sports Clinic in their honor.
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Multi-agent AI systems create an authorization problem most security frameworks were never built to address. Article 5 in Aptive's Agentic AI Governance Series introduces the Orchestrator Capability Manifest, a runtime-enforced policy document that governs which tools each AI agent can use, which prompt version it runs, which model it's pinned to and when a human has to review its output before it moves downstream.
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