AI-powered sewer infrastructure assessment and cloud asset management
SewerAI builds AI computer vision tools for sewer utilities to automate condition assessment from inspection video (CCTV, drones, side-scan cameras). The stack—TypeScript, React, Node.js, PostgreSQL with PostGIS—reflects a geospatial-first web platform. Active hiring spans ops, sales, support, and engineering; pain points cluster around manual video review hours, sales scaling, and onboarding velocity, suggesting the company is transitioning from product-market fit to operational scaling.
Notable leadership hires: Technical Lead
SewerAI delivers a cloud platform called PIONEER that automates defect detection in sewer inspection data using proprietary AutoCode AI computer vision. The platform ingests footage from multiple camera types, generates condition reports, and enables utilities, contractors, and engineers to collaborate on capital planning and asset management. Founded in 2019 in Walnut Creek, California, the company operates with 51–200 employees. The founding team and advisors bring over 150 years of combined sewer assessment expertise and manage tens of millions of linear feet of pipeline data in production.
SewerAI uses TypeScript, JavaScript, React, Node.js, PostgreSQL with PostGIS extension, Docker, and CI/CD for infrastructure. Sales and operations run on Salesforce, Gong, and Slack.
Current focus areas include quote-to-cash modernization, accounting system updates, scaling the sales development team, reducing onboarding delays, and automating manual video review workflows in the PIONEER platform.
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