SewerAI

SewerAI (operating under sewerai.com, legally SewerAI Corporation) is the premier, enterprise-grade AI-driven wastewater infrastructure management platform, underground pipeline computer vision pioneer, and municipal asset orchestration powerhouse engineered to act as the definitive, cloud-native defect detection, automated NASSCO coding, and predictive capital planning layer for public works departments, civil engineering firms, and utility contractors across North America. Co-founded in 2019 by veteran utility engineering innovators Matt Rosenthal (Co-CEO) and Billy Gilmartin (Co-CEO), the company completely eliminates the severe systemic friction of modern underground municipal infrastructure maintenance—where cities suffer from a multi-trillion-dollar infrastructure backlog, field crews wrestle with highly subjective, error-prone manual CCTV video assessments, and engineering teams face a broken data handoff chain that delays critical pipe rehabilitation decisions—by deploying its proprietary \"PIONEER\" cloud inspection matrix. Moving far beyond traditional, passive physical pipe inspection tools or rigid localized GIS databases, SewerAI natively unifies high-performance cloud video ingestion, automated machine-learning-driven defect tagging (AutoCode), real-time NASSCO PACP/LACP/MACP standard alignment, and its specialized Risk & Rehab analytics solutions into a single high-availability predictive maintenance ecosystem. Serving as a mission-critical utility for hundreds of major municipalities and elite contractors—including the cities of Houston, San Francisco, and Phoenix—the platform slashes years out of standard capital planning processes while tripling daily field inspection productivity. Validating its massive technological efficacy and market-shaping growth trajectory, the high-growth deeptech enterprise completed a monumental strategic Series B expansion investment round in June 2026 led by growth equity powerhouse JMI Equity, with continuation from Innovius Capital, Epic Ventures, Bentley iTwin Ventures, and Suffolk Technologies, bringing its total institutional financing base to $24.5 million. Under the hood, its technology core utilizes advanced computer vision neural networks trained on millions of feet of underground pipeline footage, automated multi-layered metadata tag distribution frameworks, and secure, SOC 2 Type II-certified data pipelines optimized to convert raw camera inspections into funding-ready asset rehabilitation prioritizations with absolute statistical correctness. What sets SewerAI apart is its uncompromising dedication to replacing fragmented, low-signal underground line reviews with absolute municipal asset predictability, machine-learning accuracy, and accessible cloud collaborative models; by bridging the gap between performance-intensive pipeline data analytics and immediate public safety infrastructure choices, the company remains a definitive cornerstone of modern algorithmic GovTech and global smart utility transformation.