Lucas León
CEO

SEWDEF is a SaaS platform that uses AI and computer vision to automate the analysis of sewer CCTV footage. It detects and codes defects according to international standards, generating standardized condition assessment reports for efficient sewer asset management.
CEO
Manual analysis of sewer CCTV footage is time-consuming and prone to human error, leading to inconsistent defect coding and delayed decision-making in asset management. This inefficiency hinders proactive maintenance strategies and increases operational costs for utilities and contractors.
SEWDEF is a SaaS platform that leverages AI and computer vision to automate the analysis of sewer inspection videos. The system processes CCTV footage, automatically detecting and coding defects according to various international standards. This transforms raw video data into standardized condition assessment reports, enabling more efficient sewer asset management. By providing objective and consistent data, SEWDEF empowers users to make data-driven decisions, optimize maintenance schedules, and improve overall network performance. The platform facilitates seamless integration with existing GIS and asset management systems, streamlining workflows and reducing manual data handling.
Primary customers include municipal water utilities, private wastewater contractors, and engineering firms responsible for sewer network inspection and asset management.