Brandon Yates
Co-Founder

DeepWalk Research develops automatic ADA inspection software that utilizes iPhone LiDAR technology to scan sidewalk systems for compliance with accessibility standards. This solution addresses the backlog in public works by providing efficient, accurate inspections and deliverables, enabling municipalities to enhance community accessibility.
Funding not disclosed



Co-Founder
Co-Founder
Municipalities face challenges in efficiently and accurately assessing sidewalk systems for compliance with the Americans with Disabilities Act (ADA). Traditional inspection methods are often time-consuming, labor-intensive, and prone to human error, leading to delays in identifying and addressing accessibility barriers. This can result in accessibility issues going unaddressed, potentially leading to safety concerns and legal liabilities.
DeepWalk Research offers an automatic ADA inspection software solution that leverages iPhone LiDAR technology to streamline the assessment of sidewalk systems. The DeepWalk Mobile App enables users to scan sidewalks, capturing 3D data that is then processed by DeepWalk's cloud-based system. The software automatically identifies ADA compliance issues and generates comprehensive, downloadable reports, including mapping files and inspection summaries. This technology allows public works departments to improve community accessibility by providing efficient, accurate inspections and deliverables, reducing the backlog in identifying and addressing ADA violations.
The primary target audience includes public works departments, city engineers, and municipalities responsible for maintaining and ensuring ADA compliance of sidewalk systems.