Travis Hoppe, former Chief AI Officer at the Centers for Disease Control and Prevention, has left government to co-found GroundVue alongside former Department of Commerce Data SME Shannon Arvizu, Ph.D., and Former GSA Technology Transformation Services (TTS) leader Ann Lewis. The company is structured as a public benefit corporation, with a clear thesis: public-sector decision-making is one of the largest, least-instrumented systems in the economy.
Hoppe is explicit about the gap. “The private sector has incredibly sophisticated tools for providing real-time, structured intelligence… The public sector has nothing comparable.” That imbalance matters because the public sector operates at enormous scale, shaping housing, energy, and local economic outcomes through thousands of distributed decisions each month.
GroundVue is not positioning itself as a marginal improvement. It is built on the assertion that this layer of infrastructure is inevitable. “The infrastructure to interpret public decision-making at scale is going to be built,” Hoppe wrote. The open question is whether it is built transparently, responsibly, and in service of the public.
The approach is to turn fragmented public meetings and policy activity into structured, comparable intelligence that can be used in real time. If successful, this reframes public decision-making as a data problem, one that can be standardized, analyzed, and acted on with far greater precision.
Hoppe’s background reinforces the conviction behind the move. At the CDC, he served as Acting Chief AI Officer and led data science and analytics efforts, following his role as Chief Data Scientist at the National Center for Health Statistics. He also spent a year in the Biden-Harris White House as Assistant Director of AI Research and Development, working at the intersection of AI and national policy.
GroundVue reflects a more assertive claim about where the market is heading. Not just better tools, but a new category of civic data infrastructure. More here.
About GroundVue
GroundVue uses AI and social science to analyze local government meetings, so public leaders can learn from peer communities and make informed decisions.
