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SewerAI Tech Stack
AI-powered condition assessment and asset management for underground infrastructure
SewerAI builds AI computer vision tools for sewer and pipeline inspection data, deployed on AWS infrastructure (SageMaker, Lambda, EKS) with PyTorch and TensorFlow. The tech stack and project list reveal a company scaling from research to production: active work on ML deployment pipelines, CI/CD for models, cloud infrastructure hardening, and a new billing platform suggest they are moving beyond proof-of-concept toward operational maturity. Hiring is broad across functions (7 roles across 7 departments in the last 30 days, including senior engineering and VP-level positions), indicating infrastructure and go-to-market buildout in parallel.
Tech Stack 32 technologies
Core StackAWS SageMaker AWS Lambda Docker Kubernetes Terraform CloudFormation GitLab CI/CD Jenkins Python PyTorch TensorFlow MLflow Weights & Biases dbt ClickHouse Salesforce ZoomInfo Gong Slack Zoom TypeScript JavaScript React Node.js PostgreSQL AWS EKS Anyscale Ray Outreach+2 more
What SewerAI Is Building
◆Challenges
- Manual video review
- Reducing contract turnaround times
- Managing high volume bid submissions
- Transitioning research to production
- Hardening cloud infrastructure
- Scaling model inference
- Scaling billing infrastructure
- Increasing volume complexity
- High-volume data tagging
- Scaling customer success organization
▲Active Projects
- Standardized contract templates
- Scalable contracting processes
- Bid submissions for municipal opportunities
- Architectural hardening of cloud infrastructure
- Model deployment and inference pipeline
- Ci/cd pipeline for ml
- Modern revenue and billing platform implementation
- Billing and collections infrastructure build
- Building playbooks
- Operating cadence
Hiring Activity
7 roles · 7 in 30d
Department
Seniority
Company intelligence
