Announcing Partnership with the University of Chicago!
Trade Up

Trade up to
an innovative,

Benchmark offers law enforcement agencies of all sizes an efficient, top-to-bottom system designed to capture key data relevant to police officer performance, support, recognition, development and growth — with a state-of-the-art platform that can be configured to your specific needs.

Transform risk
with a
revolutionary tool

Benchmark has developed a first-of-its-kind tool built from evidence-based research and advanced analytics that elevates early intervention to a more holistic, preventative system that allows for early detection of performance trends . . . and minimizes your exposure to rising liability costs.

officer career
paths and
department goals

With deep experience in policing, Benchmark is committed to a more proactive framework for police administration that rewards exceptional service, promotes community engagement, flags areas for improvement — and supports on-going professional development and growth.

Serve the
you protect
more effectively

Benchmark believes better policing demands mutual respect and thoughtful interaction between police professionals and their constituents — working towards a healthy, well-balanced alliance that honors the viewpoint of all parties and serves the greater good of the public at large.

Benchmark Founding Board Member

“The challenge of police misconduct is real — but solvable. Let’s first put together what we know collectively and start addressing officer behavior holistically. We need a system with a vision, path and plan of action that goes from tertiary intervention to primary intervention . . . correcting behavior before it becomes a serious issue.”

R.T. RybakMayor of Minneapolis 2002-2014, author, businessman and public safety advocate

Benchmark Founding Board Member

“The problem we have in many police departments is the variety of systems being used to capture important data . . . the ability to store it all in one place to avoid information silos.

One-stop shopping that can pull all these pieces together can save valuable time and resources, help us understand the relationship between data points — and better serve not just police, but the citizens we serve as well.”

Charles H. RamseyChief of Police in Washington, D.C. 1998-2006, Police Commissioner of Philadelphia 2008-2016, Co-Chair of the Task Force on 21st Century Policing

Benchmark Research Consortium Chair

“We have learned that we can significantly reduce the number of ‘false positives’ associated with existing threshold-based EIS programs. By analyzing historical data about officers and their behaviors, as well as using machine learning, we can better predict which officers are truly in need of intervention.”

Rayid GhaniDirector of the Center for Data Science and Public Policy, Senior Fellow at the University of Chicago Harris School of Public Policy