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Proven solution that transforms how agencies manage public comments.

An autonomous AI agent orchestration platform that runs software delivery as a managed multi-agent workforce.

Abt helps Medicaid leaders evaluate programs, analyze claims and encounter data, and deliver trusted answers on costs, access, outcomes, and policy.

Audits legacy applications to uncover technical debt, risks, and dependencies so agencies can modernize with confidence.

Be it outbreak, epidemic, or pandemic—human or zoonotic—the goal is to get reliable information on infectious diseases, quickly. Abt experts Laura Edwards and Sung-Woo Cho discuss strategies for harnessing machine learning and data visualization to provide actionable information—at scale—that can help stem a health crisis.

How do we defeat tuberculosis? With sustainable solutions. With support from the private sector. With data.

In this month’s episode, Abt experts Jill Berkowitz and Sung-Woo Cho discuss how machine learning can amplify our work combatting malaria—25 million people protected to date—by applying what we’ve learned to other infectious diseases.

In this podcast, Abt’s Ginger Pryor and Whitney Rostad explain how child welfare solutions can emerge from disaggregated data, community input, and silo-busting collaborations.

Abt uses machine learning to do things that until recently would have been impossible, such as categorizing a vast amount of unstructured text into main themes or counting mosquito eggs from a smartphone picture using image recognition.

Abt’s digital and data services support all aspects of policy research, monitoring, and program evaluation through an array of digital tools and technologies.