





At DeepWalk, we are simplifying sidewalk maintenance for municipalities and engineering partners. Using iPhone LiDAR, we deliver fast, GIS-informed inspections and data-driven plans that make it easy to prioritize and implement improvements. We help communities turn data into real, measurable enhancements.
Automation powers our vision: data-driven public infrastructure with maintenance cycles that let cities and property owners effortlessly prioritize improvements.
Automate your sidewalk maintenance process to give your team more time, resources, and action plans.
DeepWalk started from a simple idea: inspecting sidewalks shouldn't be so hard. What started as a student project at the University of Illinois, Urbana-Champaign, showed Brandon Yates and Anshul Shah that municipalities lack the time, resources, and tools to turn sidewalk data into action.
To understand the challenge, they spoke with over 100 civil engineers nationwide. The message was clear: traditional inspections are slow, labor-intensive, and don't provide the data cities need to prioritize and implement repairs effectively.
DeepWalk solves this with the iPhone in your pocket. Our iPhone LiDAR-enabled app and purpose-built software transforms the sidewalk inspection process from demanding to easy, manual to automated, and overlooked to actionable, helping municipalities prioritize sidewalk improvements for everyone.

Brandon Yates sat down with Urvashi Jha of the Grainger Engineering School to share how it all began, what scaling has been like, and practical tips for aspiring entrepenuers.

Read our feature in Esri's ArcNews about how WT Group and Erie, CO used DeepWalk and ArcGIS to inspect, maintain, and develop an ADA Transition Plan

See how Genoa used DeepWalk to take them from data collection to program implementation, earning statewide recognition
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